7+ Years of professional experience, Skilled in machine learning, statistics, problem-solving, and programming. Excellent at juggling multiple tasks and delivering in-advance.
Some of the Notable Projects:
HP: Working on Creating an Early Warnings System, using ML and NLP Techniques. For analysis, we use sources of consumer reviews such as "Tech-blogs", internal HP beta testing data, and historical case-log data.
Intuit: NLP -Performed Web scraping and text analysis (topic modelling) on the community/suggestion pages for our flagship Financial product, QuickBooks. Based on the analysis result, developed a Remote trigger Scheduled Payroll using Quickbooks Payroll App (IOS App), which led to significant savings in man-hours efforts.
Customer Churn Prediction Model - The model was build to predict customers churn from QuickBooks Desktop application and provide them with relevant offers spot on so that the churn could be avoided.
HR Employee Attrition Model - The model was developed to analyze past employee data to understand what can be done to retain the best talent by evaluating matrices which result in attrition.
LG: Created a real-time forecasting dashboard using time-series data for measuring browser performance, application CPU utilization to optimize the performance of the system.