Mohan Gorripati

About Mohan Gorripati

I’m a passionate Data Scientist with 4+ years of experience turning data into business growth—delivering over $15M+ in measurable value across finance, e-commerce, and retail domains. My work combines deep technical skills with a strong sense of business strategy, enabling data-driven decisions at scale. My expertise lies in Machine Learning, Generative AI, and Causal Inference—developing scalable ML models, running efficient A/B tests, and designing RAG pipelines powered by LLMs. I love solving real-world problems with data and thrive at the intersection of AI and business impact. At Capital One, I’ve:Built a GenAI-powered HR chatbot using RAG & LangChain—boosting efficiency by 40%Led ML recommendation system experiments, improving CTR, Conversion Rate, AOV, and saving $250K+Applied CUPED & logistic regression to reduce A/B test duration by 30%Delivered lending insights using Propensity Score Matching, resulting in a 7.6% revenue growth impact At Evalueserve, I worked on ML & NLP solutions for major clients like HSBC and PVH:Automated document processing with CNNs/LSTMs, improving loan completion rates by 25%Processed 2B+ transactions for customer spend prediction, increasing marketing ROI by 15%Built cost-saving dashboards using Python, SQL, and Tableau—cutting ERP/CRM costs by $20K/year🧠 I have a Master\'s in Data Science from NJIT and a toolbox that includes:Python, SQL, Spark, Scikit-learn, AWS, GCP, Snowflake, Power BI, Tableau, LangChain, Vector DBs, XGBoost, CUPED, AB Testing, Causal Inference, and more.🤝 I’m always excited to connect with data enthusiasts, AI innovators, and business leaders solving meaningful problems.Let’s connect and create something impactful together!E: M••••••••@gmail.com

Experience

1. Data Scientist

   Capital One

   Jan 2024 — Present · US

   Saved $250K in operational costs for e-commerce shop by managing key metrics (CTR, Conversion Rate, AOV) in a 6 week A/B test of an ML-based recommendation system, enabling data-driven decision-making • Reduced experiment duration by 30% using CUPED + logistic regression to lower variance by 13% in conversion rate (CR) estimates, ensuring faster decision-making • Delivered 7.6% Revenue Growth Insights for SMEs by analyzing the impact of instant lending using Propensity Score Matching (PSM), guiding stakeholders on high-impact lending strategies • Enabled real-time impact tracking and reduced preprocessing time by 40% by building a scalable data pipeline that automated data ingestion, cleaning, and feature engineering for SME records • Boosted HR efficiency by 40% by building a RAG pipeline to automate employee query resolution, using a LLM chatbot leveraging multi-turn dialogue, HITL feedback with account level access for accurate responses • Built a hybrid chunking RAG pipeline with SBERT + FAISS on Vector DB, custom reranking (cosine, token confidence), and evaluated on 1200+ docs optimized with reciprocal rank fusion and context-aware reranking.

Education

• New Jersey Institute of Technology

  Master's degree

  2022 — 2023