Python jobs

...experiments (or simulations), and a well-argued discussion of results. Scope • Draft a full manuscript: abstract, introduction, related work, methodology, experiments, results, discussion, conclusion, and references. • Use recent (≤5 years) scholarly sources to position the study within current AI advances. • Provide clean datasets or documented synthetic data, the code used for experiments (Python preferred), and any supplementary material needed for replication. • Format the paper to the target journal’s guidelines (IEEE, Springer, or a similar outlet—we can decide together once the topic is finalised). • Two revision rounds are included to address peer-style feedback on clarity, depth, or structure. Acceptance criteria 1. P...

...callers) are bridged into the same conference. If a third person dials in while two are already talking, simply add them to the live call—no busy tone, no queue. • If everybody but one participant hangs up, the lone caller should be disconnected automatically so the room never stays open. • No PINs, passwords, or other authentication steps are wanted. Twilio Functions, TwiML Bins, Node.js or Python—use whatever you prefer, just keep the code clean and easy for me to edit later. When you’re done, share: 1. The deployed Twilio Function/TwiML with clear inline comments. 2. Brief notes on how to swap numbers or change the hold audio. 3. A quick test report (screenshots or call logs) proving the DTMF “1” fires, the hold music pla...

...routines that can ingest raw signals, run frequency-domain analysis (FFT, filtering, spectral visualisation, etc.), and output both numeric data and easy-to-read plots in real time. I haven’t locked the project to a single operating system, so if you prefer to target Windows, macOS or Linux, let me know which toolchain and libraries you’d use and why. The interface should remain lightweight—think Python with PyQt or C++ with a minimal GUI layer—but I’m open to alternatives if they deliver reliable performance. Deliverables: • Complete, well-structured source code with inline comments • Cross-compiled or natively built executable • Short user guide covering installation, main features and examples • Brief developer notes ou...

...experienced DevSecOps / Software Supply Chain Security Engineer with 9+ years of experience for an enterprise-level project. Required Skills: * Sonatype Nexus Repository & IQ Server * DevSecOps and Open Source Security * SBOM (CycloneDX, SPDX, Syft) * SLSA Provenance & in-toto Attestations * Artifact Signing (Sigstore/Cosign, GPG) * GitLab CI/CD or GitHub Actions * AWS (IAM, EC2, S3, ECS/EKS, Lambda) * Python, Bash, or Go * Docker, Kubernetes, and OCI Registries * NIST SSDF and Software Supply Chain Security Responsibilities: Implement secure software supply chain workflows, automate open-source governance, integrate SBOM generation and artifact signing into CI/CD pipelines, manage vulnerability remediation, and improve software security compliance. Experience: 9+ yea...

Software Architect & AI Technical Lead (Python · B2B SaaS · Telecom) Location: Remote (Mexico or LATAM, Mexico City time zone) · Periodic visits to Mexico City Type: Full-time or project-based (contractor) Language: Spanish (fluent) and English (technical) About us We are a new mobile virtual network operator (MVNO) in Mexico that competes on value, not price. We are building two products on a single platform: A B2B platform where companies onboard, manage their mobile lines and cost centers, and receive electronic invoices (CFDI) allocated by cost center. A perks layer for consumers: every mobile line includes discounts and benefits delivered through WhatsApp and the web, powered by AI agents. The role You will own the architecture of both products an...

...signing digital pass files for mobile platforms Integrating with mobile platform APIs for issuing and live-updating passes Push notifications to update content on users’ devices A simple web dashboard and a mobile-friendly web page Deployment on a cloud server What we’re looking for Experience with Apple Wallet or Google Wallet passes is strongly preferred Strong full-stack experience (Node.js, Python or Go on the backend, React or similar on the frontend) Experience with certificate-based signing, push notifications and third-party platform APIs Ability to work independently and ship a working product Clear communication and regular progress updates Willingness to sign an NDA before project details are shared How to apply Please answer these in your application: ...

...booking assistant: discover a place, understand the menu and atmosphere, request a booking, receive a real answer, and get a reminder — no app download required. Telegram is the first live channel. WhatsApp, voice and Calendar are subsequent channels, only when their provider, privacy and reliability gates are genuinely ready. This is not a greenfield build. The active product is a substantial Python codebase built around aiogram, async services, SQLAlchemy/Alembic, booking logic, discovery, menus, notifications, multilingual chat and a signed audit ledger. A legacy Bun/TypeScript MVP remains for selected WhatsApp, calendar and identity pieces. I’m looking for someone who can own shipping: finish what is real, wire what is missing, make the system safe to operate, and...

...step in on a ticket-by-ticket basis and close work related to both AWS data engineering and Power BI dashboard development. On the AWS side the tickets you will pick up revolve around building or extending data pipelines and handling the transformation / ETL layers that feed our analytics stack. Expect hands-on work with typical services—think S3, Glue, Lambda, Redshift or Athena—and plenty of Python or SQL scripting to keep things automated and testable. Once the data is landed, many tickets jump straight into Power BI. Your focus there will be on stitching new data sources into existing models and turning those datasets into polished, well-documented reports. Most dashboards already have a wireframe, so speed and best-practice DAX are key. Workflow • Ticke...

...path. Once the databases are safely online in the new cluster we will migrate the remaining application services, port any Python 2 code to Python 3, and bring ageing Go services to their current releases. All changes must be validated against a mirrored environment holding production-sized data, followed by a staged DNS cut-over; the old stack stays live as the fallback until sign-off. Deliverables • Terraform codebase and GitLab/GitHub CI pipelines • Hardened EKS cluster with Gateway API ingress in production • Rebuilt, scanned container images • Upgraded Redis & PostgreSQL instances with rollback scripts • Migrated and upgraded application services (Python 3, modern Go) • Maintenance runbook and recorded handove...

I’m building and iterating on a suite of web applications and want every line of code to move fast without sacrificing quality. You’ll jump straight into a modern stack where Python handles the heavy lifting on the back end and JavaScript drives interactive front-end experiences. Day to day you’ll design new features, refactor legacy pieces, write and debug code, and resolve production issues as they surface. The twist—and where you’ll really shine—is how comfortably you weave AI into that workflow. I already rely on GitHub Copilot for rapid scaffolding and on OpenAI GPT-3 for tasks such as test generation, documentation drafts, and quick proof-of-concept scripts. You should be just as fluent, knowing when these tools speed things up and when t...

This project centers on designing, building, and maintaining production-grade data pipelines that move and transform large volumes of structured data. I’ll rely on your expertise in SQL, Python, and modern ETL orchestration to collect, process, and serve datasets reliably, while enforcing rigorous data quality and governance standards. Infrastructure expectations • Cloud: the core deployment targets are AWS and Google Cloud Platform, so solutions should align with services such as S3, RDS, Lambda, BigQuery Storage API, or similar offerings on those clouds. • Warehouse layer: Snowflake will be the single source of truth; pipelines need to load, model, and optimize data within that environment. • Workflow optimisation: automated monitoring, logging, and alert...

Please write idiomatic Python with clear structure and docstrings on public functions. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: sentence-transformers similarity search. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0145.

...solution must: • Fire automated welcome messages whenever a new user starts a chat and handle common FAQ responses without my intervention. • Broadcast announcements one-to-one (no group blasts) so each contact receives a personalised copy. • Offer basic user management—think tagging, opt-in / opt-out status, conversation history lookup, and simple statistics. I’m open to the stack you prefer—Python with the WhatsApp Business Cloud API, Node.js with Baileys, or another reliable library—as long as it respects WhatsApp’s official terms and can run on my VPS. A clean CLI or lightweight web dashboard for settings and logs would be perfect. Acceptance once I can: 1. Edit welcome and FAQ templates in a config file or UI and see them t...

This brief is for a focused Python task: script, small package, or single service module. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: YAML settings merger. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0050.

Please write idiomatic Python with clear structure and docstrings on public functions. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: python-docx mail-merge helper. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0055.

We are seeking an experienced AI Automation Engineer to design and deploy custom AI agents and intelligent workflows that drastically streamline our business operations a...manual workloads. The role centers on building advanced AI-powered pipelines, integrating diverse APIs and third-party tools, and securely connecting platforms like CRMs and business applications to drive everyday efficiency. The ideal candidate brings hands-on expertise with workflow engines such as n8n or , alongside frontier LLMs like OpenAI or Claude, coupled with a strong foundation in Python, JavaScript, and webhook architecture. We need someone who excels at troubleshooting, enhancing reliability, and constructing resilient, low-maintenance systems designed to scale seamlessly alongside our business growt...

... Please capture the following items and export them to a single, tidy Excel workbook (.xlsx): • Email addresses • Phone numbers (normalised to +44 format) • Postal addresses A clean header row, one record per line, and the removal of duplicates are essential. Basic validation—such as checking email syntax and trimming whitespace—will save me time later. I’m comfortable if you choose Python with BeautifulSoup, Scrapy, or Selenium, or another language you prefer, provided the result is accurate. Supplying the script alongside the spreadsheet would be ideal so I can repeat the scrape in future, but the Excel file is the key deliverable. Let me know how you plan to handle pagination, delays, or captchas if they appear, and confirm you&rsqu...

I need a Python 3 deliverable only—no other languages for the core logic. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: virtualenv bootstrap installer. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0036.

...the engineer’s and the designer’s hat. AI scope • Primary goal: a robust artificial-intelligence-driven product capable of data analysis, task automation, and predictive insight generation. • Area of focus: designing every layer of the solution, whether that means a classic machine-learning model, a natural-language component, computer-vision capabilities, or a thoughtful blend of all three. Python, TensorFlow/PyTorch, scikit-learn, and popular NLP or CV libraries should feel second nature to you. Design scope • I want “everything” here too—clean UI mock-ups, on-brand graphics, and any supporting print assets we might need for demos or investor decks. Tools such as Figma, Adobe XD/Illustrator, or Sketch are ideal; feel free to ...

Please write idiomatic Python with clear structure and docstrings on public functions. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: Discord reminder bot. Ask questions in messages if a library choice (e.g. Scrapy vs requests) affects scope. Tech stack: Python 3 only. Reference batch ID: QA-PY-0139.

Scope is intentionally small; optimize for clarity and easy handoff in Python. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: Google Sheets API sync. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0125.

...Starting points: Deliverables: - A working, reproducible Kaggle notebook. - All modified source code and configuration files. - A valid competition submission confirming the result. - A brief explanation of improvements and reproduction steps. Preferred skills: Python, LLM agents, Kaggle, SGLang/vLLM, quantization, and inference optimization. Please include your Kaggle/GitHub links, relevant experience, proposed approach, and GPU requirements. Computing costs must be agreed upon before work begins. The exact deadline, ranking verification time, and submission account will be agreed upon before starting. All work must comply with competition rules and open-source

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Keep dependencies minimal; pin major versions in when you add packages. The Python work centers on: barcode label printer script. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0088.

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: Jupyter notebook to plain script refactor. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0148.

Please write idiomatic Python with clear structure and docstrings on public functions. Keep dependencies minimal; pin major versions in when you add packages. The Python work centers on: Excel to Parquet conversion. Turnaround is flexible; I care most about clean Python and reproducible setup steps. Tech stack: Python 3 only. Reference batch ID: QA-PY-0067.

...whenever communication is possible. The core of the job is a runnable simulation that plays out on an interactive map: I want to watch vehicles move, see packets hop between them, and toggle between two forwarding strategies: • an arbitrary, “send-whenever-in-range” method, and • a direction-aware method that chooses relays based on the vehicle’s heading. While the platform is flexible—Matlab, Python, or any other tool you feel is best—what matters is an intuitive, browser-like visualization where I can zoom, pan, and click a node to inspect its current payload. Once both strategies run across identical mobility traces, I need a concise comparison of • data transfer speed, • number of hops, and • message delive...

I need a skilled data analyst to examine a medical dataset so I can spot clear trends and patterns in treatment effectiveness. You will receive the raw files plus a data dictionary; your job is to clean, explore, statistically test, and visualise the results in a way that clinicians can act on. Deliverables • A transparent data-cleaning log • Reproducible analysis script in R, Python, or SAS (your choice) • Insightful visualisations—plots or an interactive dashboard (Tableau, Power BI, or similar) • A concise report summarising the key patterns you uncover around how well each treatment works Acceptance criteria • Code runs end-to-end on the supplied data without errors • Visuals are clearly labelled and easy to interpret • Co...

... and PCB design recommendations to achieve consistent measurements across devices. Develop a calibration workflow using suitable reference standards and repeatable measurement procedures. Analyse LED output drift, photodiode response, temperature variation, and ambient light interference. Develop normalisation and compensation methods to minimise device-to-device measurement variation. Use Python or MATLAB for data analysis, calibration curves, error evaluation, and repeatability testing. Recommend PCB layout improvements for analog signal integrity, grounding, power stability, and noise reduction. Evaluate thermal management, component placement, and temperature-sensitive circuit elements. Define validation tests to measure accuracy, repeatability, linearity, and stabilit...

I am a Senior Backend Engineer with over 5 years of experience building scalable, data-intensive applications and reliable production systems. I specialize in Python, Node.js, TypeScript, PostgreSQL, and Redis. I have a strong track record of delivering high-impact results: • Contributed to a real estate platform serving over 100,000 users. • Built and operated backend foundations for a real-time platform with more than 50,000 active users. • Led an infrastructure migration that reduced costs by over 80%. What I can do for you: • Design and build scalable REST APIs and WebSocket services. • Optimize database performance (PostgreSQL, MySQL), including complex queries, indexing, and caching (Redis). • Implement robust data models, migrations, and data i...

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. For I/O heavy work, consider asyncio or multiprocessing only if it clearly helps—keep it simple first. The Python work centers on: python-telegram-bot polling service. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0058.

...one sent back to me as a PDF attachment. I need every answer inside those PDFs pulled into a machine-readable form so I can run text analysis later. Here is what I’m after: • Download or receive the PDF attachments I will share over a secure folder • Extract the full, verbatim text from each file (some are digitally generated, others may need light OCR) using any reliable toolset you prefer—Python + PyPDF2 / pdfplumber, Tesseract, or similar • Organise the extracted content into a single UTF-8 text file or a clean CSV—one row per survey, one column per question Acceptance criteria: • 100 % of the PDFs processed; no missing pages • Text must match the source wording character-for-character (no auto-corrections) • File del...

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Expose configuration through argparse, Typer, or a YAML file—your choice. The Python work centers on: RQ worker queue consumer. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0028.

Scope is intentionally small; optimize for clarity and easy handoff in Python. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: rotating proxy scraper client. Turnaround is flexible; I care most about clean Python and reproducible setup steps. Tech stack: Python 3 only. Reference batch ID: QA-PY-0047.

...hours of highway footage in MP4 format, the speed-gun readings that correspond to those clips, and access to an NVIDIA GPU machine for training and inference. What I expect from you: • A trained, optimized computer-vision model (YOLOv8, RetinaNet, or another accurate architecture—open to your preference) that reaches at least 90 % precision on the three violations. • An inference script (Python preferred) that ingests an RTSP stream, performs detection in real time, overlays bounding boxes and labels, and logs the events to a JSON file or REST endpoint. • Clear instructions so that I can redeploy the solution on my own hardware or any cloud VM. If you have previously worked with helmet detection, multi-rider classification, or speed estimation on ...

I need a compact Python script that automatically pulls every organic result URL that appears on the first five pages of Google for any keyword I feed it. The script should accept a list of search terms (from a text file or command-line argument is fine), perform the searches, and collect only the result links—no ads, no featured snippets, no map listings. Key points • Pages to cover: page 1 through page 5 for each query • Output: a neatly formatted Excel workbook (.xlsx) with one sheet per keyword or, if simpler, a single sheet that lists keyword, position, page number, and URL • Language: Python 3.x using common libraries such as requests/BeautifulSoup or Selenium if you prefer a headless browser approach. Feel free to combine with pandas / openp...

...engineers review a 3D CAD model against the customer’s 2D drawing, identify discrepancies, and generate a clear, traceable report. We welcome Vietnamese candidates and international candidates currently living in Vietnam. Candidates based in Hanoi are preferred for easier technical discussions and potential in-person meetings. **Project background** We already have a proof of concept built with Python, FastAPI, Open CASCADE and Docker Compose. We need someone to assess the existing implementation, propose improvements, and develop a reliable workflow using representative engineering drawings. **Inputs** - 3D models: Parasolid X_T and STEP. - 2D drawings: PDF, DXF and TIFF. Your proposal must explain how these formats will be supported, including conversion requirement...

This brief is for a focused Python task: script, small package, or single service module. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: Starlette middleware helper. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0068.

Scope is intentionally small; optimize for clarity and easy handoff in Python. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: win32com Excel automation bridge. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0131.

...posted content, and immediately publishes those findings inside a password-protected web portal. The exact data points we collect—new arrestee, charge , bond amounts, or something else—can be finalised together once development begins, but the program must recognise what is new since the previous run and avoid duplicates. The workflow I have in mind is straightforward: 1. An automated scraper (Python with BeautifulSoup, Scrapy, or a comparable solution is fine) runs on an hourly schedule. 2. Scraped items are stored in a lightweight database so they can be compared against previous runs and displayed chronologically. 3. A simple web interface, secured by login credentials, shows the fresh entries as soon as they are gathered. Pagination, search or basic filter...

My content-management web application was running smoothly until the original developer, unhappy about a payment dispute, deliberately disabled it. The stack is a mix of JavaScript on the front end, Python services, and a PHP admin layer. I still have full server and repository access, so the code is intact – it just no longer serves pages or lets me log in. What I need now is a calm, skilled developer who can quickly trace how the site was taken offline, roll back (or rewrite) whatever kill-switch was planted, and get the whole CMS live again. Along the way I want the codebase reviewed for any other hidden “time bombs” so I’m not left vulnerable in the future. Key outcomes I’m looking for: • Public-facing pages and the admin dashboard load wit...

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...mini-projects with pointers on code quality, optimisation, and best practices. One review per project is enough, but it must be detailed and actionable. • Tips on maintaining momentum—productivity techniques, progress-tracking templates, and suggestions for online communities or forums where I can ask questions as I grow. Prefer tools and resources that rely on widely adopted languages such as Python, JavaScript, or Java, along with platforms like VS Code, Git, and Docker where appropriate; however, the exact stack can adapt to what will serve the plan best. The deliverables (assessment, roadmap, project briefs, and feedback) can arrive in separate documents or a single well-structured PDF—whatever keeps things organised and easy to follow. My priority is cl...

...the process. The core focus is data analysis—everything from cleaning raw datasets and exploring patterns to pulling out actionable insights and packaging them in a way stakeholders can trust. Here’s how I picture our collaboration: • You handle the hands-on work: importing data, cleaning, modelling, visualising and interpreting results (using the tools you’re most comfortable with—Excel, SQL, Python, R, Power BI, Tableau are all fine). • After each stage, you hop on a quick call or screen-share to explain what you did, why you chose that approach, and how to replicate it myself. • At key milestones you deliver a brief write-up or notebook I can reuse, documenting formulas, code snippets and decision logic. I haven’t locked do...

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: Celery task retry fix. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0106.

PROJECT OVERVIEW We need a small, working proof of concept that collects retail sales transactions over MQTT, stores them locally in SQLite, loads them into Hadoop (HDFS + Hive) and produces basic sales reports. Everything must run on one machine with Docker so we can demo it and build on it later. DATA FLOW 1. A sales simulator (Python) publishes transactions to an MQTT broker (Mosquitto) 2. A collector subscribes and saves every message in SQLite (it keeps working if Hadoop is down) 3. A loader moves new SQLite rows to HDFS on a schedule and on demand 4. Hive tables on HDFS and SQL queries produce the sales reports DELIVERABLES 1. : Mosquitto, single-node Hadoop 3.x (HDFS + YARN), Hive. One command starts it all. 2. Sales simulator - 5 stores, 200 products, configurable

I need a small-scale email application that can reliably send batches of roughly 80–100 personalised messages through my own SMTP server and then keep every reply organised in one ...watch the queue progress in real time Once messages go out, the tool must detect incoming replies and tag them automatically so I can quickly see who answered and when. Open- or click-tracking is optional, but accurate “replied / not replied” status is essential. A compact dashboard that lets me filter or export those results would round things off nicely. I am happy with any clean tech stack—Python, Node, or similar—as long as installation is straightforward on a Linux VPS. Source code, brief setup instructions, and a short walk-through of the reply-tracking logic wi...

I have an AI-driven application written in Python that is already live, but its performance is no longer where it needs to be. Rather than rewriting anything from scratch, I want a developer who can dive into the current codebase, spot the weak points, and apply machine-learning best practices to bring the system up to date. You’ll start by cloning the repo, running the existing training and inference routines, and profiling the data pipeline so we can identify bottlenecks together. From there, your focus will be on tightening the algorithms, modernising any outdated libraries, and introducing cleaner, more modular code that makes future feature work painless. Expect to work with familiar ML tooling—Pandas, NumPy, scikit-learn, TensorFlow or PyTorch—using whicheve...

...closed beta. Current stack: - React 18 / Vite / Tailwind CSS frontend - Python / FastAPI backend - PostgreSQL database - Railway backend hosting - Netlify frontend hosting The work may include: - security and data-safety fixes - removing simulated/demo data from real-user screens - account/profile editing - campaign and book editing - email/password-reset functionality - frontend/mobile responsiveness - bug fixes - monitoring, backups, and testing You will not be responsible for designing the architecture from scratch. You will work inside an existing codebase and collaborate with our current technical lead, who will provide direction and review your work. We are looking for someone who: - has strong React + Python/FastAPI experience - has worked with PostgreSQL - is com...

I have a plain text data file that needs to be transformed into a tidy Excel worksheet. The work is very focused: • Import the raw text. • Remove every duplicate row so only unique r...missing value with the single placeholder I will provide once we start (feel free to suggest the best way to flag it so it’s easy to filter later). The final deliverable is a single .xlsx file with clean, de-duplicated data and no empty cells. I will test it by running COUNTBLANK and checking for duplicate counts, so please be sure your script or method catches everything. Any approach is fine—Python (pandas), Power Query, Excel VBA, or your preferred tool—as long as the result meets the criteria above and you can briefly explain your steps so I can reproduce them if...

We are looking for a Python developer for a small data cleaning and processing project. The task involves working with a provided dataset, identifying data quality issues, and preparing the data in a clean and consistent format for further use. Scope of Work:- * Review and understand the provided dataset. * Identify and remove duplicate or irrelevant records. * Handle missing, incomplete, or inconsistent data. * Standardize text and data formats where required. * Clean and normalize user-generated/text-based data. * Apply basic Natural Language Processing techniques where needed. * Create a reusable Python script for the data cleaning process. * Integrate the processing logic with a basic Django backend/API. * Provide the cleaned dataset along with the source code. Requirem...