Ragini Jakkam

• Main responsibility was to comprehend client's needs and to present client with a statistical model, algorithms, and ways to address issue. After conducting extensive study, also documented findings for future reference.

• Created 3 Minimum Viable Product based on Named Entity Recognition and Recommendation Engines

• Leveraged SQL for data integration, successfully merging information from 5 distinct sources. Implemented intricate SQL queries for data cleansing and preprocessing, resulting in a 15% improvement in data accuracy and contributing to the overall reliability of the statistical models.

• Employed SQL to optimize database queries, achieving a notable 25% reduction in query execution time. Implemented effective indexing strategies and fine-tuned queries, resulting in a more responsive and efficient system for data retrieval and model processing.

• Enhanced company growth by conducting in-depth market research and identifying new opportunities.
• Boosted customer retention rates by analyzing user behavior and providing insights for product improvements.
• Analyzing data, visualizing trends on data accumulated after every 2 days from Phenom career platform, using Machine learning models
• Managed a SQL database to efficiently store and retrieve the bi-weekly data from the Phenom career platform. Implemented optimized SQL queries, resulting in a 20% reduction in data retrieval time.

• Enhanced research efficiency by streamlining data collection and analysis processes.
• Research and documentation about Value at Risk (VAR), Usually used in stock market to understand risk the company about to take.
• Conducted literature reviews to identify relevant research articles and support project objectives.
• Assisted in the development of research proposals, contributing to a higher success rate in securing funding.