Ramit Jaal

Leading a geohash7-level network volume usage forecasting initiative, enhancing accuracy by using LSTM with an attention mechanism. Achieved a 15% increase in forecasting accuracy compared to conventional models. Managed project to improve service quality and expand customer base by addressing Quality and Coverage gaps. Employed DBSCAN clustering algorithm to identify areas for improvement. Achieved over 20% reduction in project execution time through streamlined end-to-end optimization. Additionally, conducted sentiment analysis on customer feedback using an LLM through the LangChain framework, effectively categorizing high-priority areas. Driving the development of an inventive interest cost optimization model at Jio Financial Service, proactively predicting demand and interest rates. Optimizing fund sourcing strategies with PuLP to secure competitive rates, resulting in significant interest savings.

Created an interactive dashboard using Tableau to analyze various KPIs and share them with the business stakeholders.

Researched and applied machine learning techniques on Value and Momentum based factor portfolio, improving activereturn by 17% post tax-loss harvesting. Cutting reporting time by 20% with an automated financial Python script using the Carino Smoothing algorithm, saving significant costs ($1,00,000s) on software subscriptions. Assisted Senior VP of Portfolio Manager in analyzing performance sources using a multi-factor attribution model. Headed a project to explore optimal time for portfolio rebalancing based on ESG (Environmental, Social, Governance) score. Created multiple ESG-based products, increasing new customer acquisition by 25%.

Achieved 112% of the quarter goal of core deposit for two consecutive quarters. Increased sources of acquiring funds, improved Net Interest Margins by 27%. Led and facilitated a team of 5 members in a variety of department projects, including coordinating with different parties in the process of maker and checker and on-site visitation for the loan-taking parties.

Oversee the tracking and analysis of performance data to measure the effectiveness of ad placement. Created dashboards to present meaningful insights into sales demographics to stakeholders.