Open to opportunities

Revathi Jana

@revathijana

Message

Data Scientist specializing in fintech risk modeling, predictive analytics, and NLP-powered automation.

India

Message

What I'm looking for

I’m looking for a Data Science role where I can apply analytical, methodical thinking to deliver business impact—especially in fintech—while solving real problems fast, maintaining priorities under deadlines, and driving automation and predictive modeling outcomes.

I’m a proactive, fast-learning Data Scientist focused on using analytical and methodical skills to help achieve company business goals.

I built an XG Boost model to predict loan approval using internal/external credit data and automated customer segmentation into 10 deciles—where the top 5 deciles covered ~43% of approvals. I also streamlined risk assessment and improved pre-approved loan decisioning.

I optimize and operationalize data pipelines by automating monthly CRIF data summarization, reducing processing time by 85%. I additionally optimized SQL inserts for cost-efficiency and real-time insights, and built dashboards for product and pin-code level performance comparisons. I’ve also developed automated MSME early warning segmentation and deployed monthly risk flagging for proactive risk

I developed a life insurance propensity model using Logistic Regression and deployed a FastAPI interface for personalized plan and premium suggestions. I also worked on sentiment analysis for marketing effectiveness, built an NLP-based SMS engine (regex + BERT NER), and apply transferable analytics practices from my earlier experience as a Consultant Optometrist, including descriptive, predictive, and prescriptive analytics.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

TVS Credit Service

Jun 2024 - Present (2 years)

Built an XGBoost loan approval prediction model using internal/external credit data and automated segmentation into 10 deciles, with the top 5 covering ~43% of approvals. Reduced monthly CRIF processing time by 85%, optimized SQL for cost efficiency, and deployed monthly MSME early-warning risk flagging using DPD and CMR scores.

XGBoost Machine Learning SQL predictive modeling Risk Scoring Data Automation AWS Sagemaker Natural Language Processing

Senior Analyst (Data Science)

Novac Technology Solution Pvt Ltd

Jun 2022 - Jun 2024 (2 years)

Developed a life insurance propensity model using Logistic Regression to predict customer interest and deployed a FastAPI service for personalized plan and premium recommendations. Built a sentiment analysis workflow for marketing effectiveness and developed an NLP-enabled SMS engine with regex-based processing and BERT NER; increased revenue by 4.5% and received the Extra Miler Award for acquisit

Logistic Regression fastAPI Machine Learning NLP Sentiment Analysis Python SMS NLP Automation Data & Analytics Stakeholder Management

Consultant Optometrist

Healthcare Analytics

Jan 2010 - Jan 2017 (7 years)

Collected and analyzed patient eye data to support diagnosis and treatment using descriptive, predictive, and prescriptive analytics for disease forecasting and personalized recommendations. Conducted 45 eye camps, using collected data for predictive analysis while combining community service with data-driven eye health outcomes.

Descriptive Analytics Predictive Analytics Data Analysis Python (Implied From Stack)Data Collection Healthcare Analytics Excel Statistical Analysis