Rishabh Soni Email & Phone Number

Bengaluru, KA, IN

Bengaluru, Karnataka, India

Gen AI for Business

Bengaluru, Karnataka, India

Hands-on leader managing a team of data scientists and software engineers - Building ML opportunity identification platform which has led to multi million dollar revenue impact. These models recommend transaction opportunities spanning multiple IB products/regions e.g. M&A Sell-Side, ECM/DCM, Private Markets (IPO/M&A) etc- Build ESG analytics toolkit for.

Bengaluru Area, India

- Implemented a classification model to predict whether the FX available in a fixed income portfolio should be converted to portfolio base currency to avoid currency risk. Models implemented: Logistic Regression, Random Forest, LightGBM- Worked on statistical quantification of market herding bias in portfolios. Models used: Mixed effects model, Linear.

Gurgaon, India

- Behavioral Finance: Developed algorithms to detect trading patterns/investment styles using trade diaries for fundamental equity Portfolio Managers- Developing algorithms for operational and liquidity risk profiling. Building and enhancing factor risk models. Designed and implemented new exception framework which is used for regulatory reporting..

Noida Area, India

R&D initiatives- Developed signal processing and deep learning capability on EEG data to predict seizure. (Paper presented at international healthcare conference - IIM Ahmadabad).- Developed claim fraud algorithm by association mining and clustering to identify wrong diagnoses, procedure bundling. This helped reduce fraud claims by ~5%- Enhanced discovery.

Hyderabad Area, India

- Built a model for patient allocation in trials based on various constraints such as cost and time. Created a risk score algorithm to assess the performance of investigators in a clinical trialTech Stack: R, Python, SQL

Gurgaon, India

- Developed promotion effectiveness algorithm for an Indian retailer. Built a dashboard to evaluate overall and promotion level impact- Analyzed transaction data for a Thai Retail Chain, identified B2B and B2C transactions, and created recommendations by region which were delivered in form of Shiny App- Performed segmentation for an Indonesian Telecom to.

Greater New York City Area

- Led the initiative to bring credit card submissions (50 TB) into HDFS. Performed UAT to ensure data sanctity. This assessment led to projects such as small merchant risk scanner& location based targeting- Developed and implemented the Merchant Exposure Calculation (PIT) algorithm. Managed the development of Exposure Management Capability. Interacted with.