Jay Thombre Email & Phone Number

United States

 Improved data processing efficiency by 30% through the implementation of optimized ETL processes using SSIS. Enhanced data accuracy by 20% through rigorous data cleaning and validation procedures. Responsible for providing data analysis to improve user experience and optimize user retention. Increased report generation speed by 25% by developing automated scripts in Python and R. Developed categorization models in Python to identify customer loss and metrics for customer discontinuation, leading to improved retention. Generated graphical reports using Python packages including NumPy, Pandas, Matplotlib, SciPy, and ggplot2. Performed regression analysis in R programming for demand forecasting parameters. Designed and maintained MySQL databases and created pipelines using user-defined functions and stored procedures for daily reporting. Created monthly performance-based client billing reports using MySQL databases. Built ETL pipelines to extract data from NoSQL databases and load aggregated data into the analytical platform. Analyzed large datasets using SQL queries to identify trends, patterns, and insights. Created interactive dashboards and reports using MicroStrategy. Boosted stakeholder satisfaction by 40% through the creation of interactive dashboards in Tableau and Power BI. Developed dashboards in Tableau to track KPIs and product performance using data from various sources. Implemented data collection methodologies and managed data storage and processing using big data tools such as Hadoop, HDFS, Hive, and Spark. Created interactive dashboards and reports using data visualization tools to present findings to stakeholders.

India

 Created reporting dashboards and conducted data mining and analysis to understand customer purchase behavior. Worked in an Agile environment, delivering projects incrementally and making rapid adjustments as needed. Translated scientific and statistical designs into Python code for development. Designed MySQL table schemas and implemented stored procedures to extract and store customer purchase and session data. Queried data from MySQL database and detected inconsistent data using Python packages Pandas and NumPy. Collaborated with cross-functional teams to promote statistical best practices for experimental design and data analysis. Wrote scripts to store data into Hadoop HDFS from various sources, including AWS S3, AWS RDS, Web API, and MongoDB. Performed regression analysis in R programming for demand forecasting parameters. Conducted Exploratory Data Analysis using Tableau and Python (Matplotlib, Seaborn, Plotly Dash). Communicated key findings to multiple stakeholders using tools such as MS PowerPoint, Tableau, and Jupyter Notebook. Performed statistical analysis, including hypothesis testing, regression analysis, confidence interval, and P-value calculation using R to increase click-through rate and sales. Established processes for continuous data quality improvement of the production software system. Prepared and presented comprehensive reports to management, summarizing findings and recommendations. Conducted quantitative analysis for credit portfolios, data quality control, and data profiling.

Master'S Degree, Data Analytics

Bachelor Of Engineering - Be, Information Technology