-Worked on, multiple projects to leverage statistical learning/machine learning algorithms to automate quality checks of clinical trials documents.-Developed customized NER (Name Entity Recognition) model using Natural Language Processing to identify Name, Location, Email ID's, Phone Numbers etc. from busines studies documents. -Supported python developer team to write scripts for different data visualization techniques.-Helped management to setup Data Science &… Show more -Worked on, multiple projects to leverage statistical learning/machine learning algorithms to automate quality checks of clinical trials documents.-Developed customized NER (Name Entity Recognition) model using Natural Language Processing to identify Name, Location, Email ID's, Phone Numbers etc. from busines studies documents. -Supported python developer team to write scripts for different data visualization techniques.-Helped management to setup Data Science & Analytics COE (Center of excellence)-Managing team of data scientist & data engineer. Show less

-Developed AI/ML solution for market research in consumer goods.-Analytical solution helped business to give 360degree view about company market share, performance and ROI.-Developed python code for RIM Weighting, Marketing Mix Modelling & Price & Promotion.

-Worked with stakeholders to identify opportunities for leveraging company data to drive AI/ML solutions.-Developed Various AI/ML POC's and converted them into full project-Managed & helped data engineer team to setup digital platform for machine learning & predictive analytics

-Developed AI/ML solution for Sales & marketing, Product analytics, pricing analytics, category management and customer analytics-Developed R & Python for data pre-processing & quality check-AI/ML solution to forecast price & demand

-Analyzed 2000+ projects error log using NLP and developed Tableau dashboard to provided key insights.-Created an excel spreadsheet for predictive modeling, forecasting, simulation, and optimization.

-Built and led a team of data analysts responsible for all data analysis & model building-Looking after projects going in team and ensuring the consistent quality of the deliverable's.-Developed regression model for Churn Tracing in Telecom, Shapley Value Regression to analyzed survey data to identify root cause of the problem & possible solution.

-Responsible to write SAS code to analyze and building model for Telecom Survey Data.-Developed SAS & SPSS code for data quality checks.-Analyzed survey data to provide insights about the consumer behavior in Mobile Industries that includes market shares, demographics penetration, Consumer Preferences & Satisfaction about Carriers & Mobile Device.