About
Data Analyst and Data Scientist with over a year of experience delivering automation, machine learning, and BI solutions in the NBFC credit intelligence space. Skilled in Python, SQL, and R, with hands-on expertise in predictive modeling, fuzzy matching data resolution, large scale data pipelines (Databricks), and dashboard design using Power BI and Streamlit. Adept at transforming fragmented, high volume data into actionable insights for credit risk, compliance, and business decision making, with measurable impact including 98% accuracy in credit validation and a 30% improvement in compliance turnaround. Experienced in applying generative AI and LLM-based automation to credit intelligence workflows, including an AI Copilot layer for underwriting and prospect targeting. Seeking to apply strong analytical, statistical, and machine learning skills to a Data Analyst or Data Scientist role.
Skills & Expertise (38)
Work Experience
Data Analyst & Data Scientist
Vivriti Capital Ltd
Feb 2025 - Present
Led 'Intelligent Prospect Targeting,' a machine learning-based prospect scoring model for B2B lending combining Intent Signal, Rating, and Financial Signal scores, benchmarked using SHAP and LIME; built fuzzy matching pipelines with RapidFuzz to resolve company names to MCA CINs across a 3M+ row Databricks table for credit intelligence workflows. Developed 'EWS' (Early Warning System) by scraping charges, director, GST, EPFO to flag institutional client default risk. Mutual Fund Peer Debt Intelligence project, scraping peer mutual fund investment data (validated against the NSDL website) and analyze debt holding trends for stakeholders. Built Streamlit and Power BI dashboards, including an Income Statement Generator and DDN Generator, and an automated Python credit rating alert system with Outlook integration to streamline rating action tracking across agencies. Contributed to an AI Intelligence Suite spanning Underwriting Intelligence, Early Warning Systems, and an AI Copilot Layer, applying LLM driven automation to accelerate credit research and decisioning workflows. Validated bureau credit reports for loan processing across multiple NBFC clients with 98% accuracy and automated KFS, KYC, and selfie validation checks, improving compliance turnaround time by 30%.
Education
B.Tech, Computer Science (Data Science Specialization) - Vellore Institute of Technology
2021 - 2025 · Afghanistan
Intermediate - Sri Chaitanya Junior College
2019 - 2021 · Afghanistan
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Skills (38)
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