• Created logical data models for new database tables, ensuring efficient and accurate data organization
• Managed the ETL process for migrating data from Netezza to Snowflake, ensuring smooth and successful data transfer
• Developed reports using Tableau, QuickSight, and Cognos to visualize and communicate data insights effectively
• Conducted reverse engineering of SQL code to extract underlying logic and improve query performance
• Performed QA testing of new tables in various Snowflake databases, ensuring data accuracy and integrity
• Collaborated with teams and worked independently to design and develop advanced analytics solutions tailored to business requirements
• Extracted ad hoc reports using MySQL, providing on-demand data insights for decision-making
• Analyzed and interpreted large datasets, produced comprehensive reports, and executed accurate data management
• Implemented web scraping techniques to extract and organize competitor data, facilitating market analysis and competitive intelligence
• Conceived end-to-end data extraction, executive, management, and operational reporting solutions within a Business Intelligence (BI) platform
• Utilized various tools and languages such as Python, MySQL, Tableau, Excel, and R to achieve desired results

• Managed and monitored Informatica data flow jobs and created YAML files for data ingestion for the Disney Land Paris project
• Worked on data migration in Snowflake and oversaw deliverables for the entire project while managing teams on technical and personal aspects
• Demonstrated proficiency in data management, technical management, and Python programming skills
• Developed Python automation scripts to streamline processes, resulting in significant time savings and increased efficiency
• Successfully delivered the Disney project on time and within budget through strong project management skills

• Managed multiple projects across different states in India, ensuring their timely completion
• Automated over 50 analytical reports using Python, Pandas, Plotly, MySQL, PandaSql, and Selenium to save time and increase efficiency
• Published 10+ clinical and project impact reports to provide insights and recommendations to stakeholders
• Manipulated, cleansed, and processed data using Python, Excel, and SQL and validated client data for accuracy
• Analyzed raw data and concluded and developed executive action and strategy recommendations
• Wrote MySQL scripts to manipulate data for data loads and extracts and performed daily system checks
• Used Selenium web scraping techniques to extract data from multiple websites and created data reports
• Designed, developed, and implemented new functionality and created interactive dashboards using Python Flask/Django and HTML/CSS
• Advised on the suitability of methodologies and suggested improvements for data processing and statistical techniques
• Worked with Tableau and Power BI to create complex interactive dashboards, including data blending, actions, parameters, and more
• Used advanced Microsoft Excel to create pivot tables, pivot reporting, and the VLOOKUP function
• Interpreted data using statistical techniques for hypothesis testing to validate data and interpretations
• Used predictive analytics techniques such as machine learning and data mining to forecast pharmacy dispense quantity, lab inventory consumption, and doctor-wise consultations

• Current employment in the financial sector focuses on loans and credit cards
• Creating automated prediction reports based on Machine Learning models
• Expert in predicting delinquency, charge-off, and payoff related to loans and credit cards.
• Proficient in data extraction from MySQL, SAS, and AWS S3 buckets for analysis and modeling.
• Experiencing using Python packages such as MySQL Connector, Boto3, and Saspy for connecting with MySQL, AWS S3, and SAS, respectively