Rishav Kumar

About Rishav Kumar

Hello World! I\'m Rishav.With 4 years of experience in Python, Machine Learning, Data Analysis, Generative AI, and Agentic Systems. Proficient in FastAPI, PySpark, TensorFlow, Azure, AWS, and SQL, with a strong focus on architecting intelligent and scalable solutions. Developed 3 key data science use cases for RABO Bank, driving business impact. Proficient in feature engineering, data transformation, and visualization to enhance model performance and build GenAI-based solutions.Skills : Programming: Python, SQL, PySpark Technology: Artificial Intelligence, Machine learning, Data Science, Statistics, Deep learning, NLP, GenAI (Generative AI), LLM (Large Language models), Predictive Modeling, Exploratory Data Analysis (EDA), Forecasting, Feature Engineering, Data Cleaning, Preprocessing, Web Scraping, Power BI, Tableau, Docker, GitHub, CI/CD Agent Frameworks: LangChain, LangGraph, LangSmith, VectorDB, MCP ML Frameworks: Pandas, NumPy, Scikit-Learn, MLflow, Keras, PyTorch, Tensorflow, FastAPI Data Tools: Databricks, Snowflake, Azure Data Factory, Data Warehousing, Azure Cloud, ETL/ELT pipeline

Experience

1. Software Engineer

   Tata Consultancy Services

   Jun 2022 — Present · Gurugram, IN

   Designed an end-to-end NLP pipeline using RoBERTa NER and FastText to identify customer industries from names, integrated Levenshtein Distance and RapidFuzz for accurate name matching (90% accuracy)- Built an RFM scoring model to segment leads into hot, medium, and cold categories, enabling targeted retention and onboarding strategies- Built a Decision Tree model to predict home loan propensity and applied LIME & SHAP for model explainability and interpretability- Performed customer segmentation using K-Means clustering to categorize mortgage clients into Elite, Loyal, and Ace segments for targeted marketing- Performed EDA using Power BI and built automated regression models with TPOT (including regularization techniques) to predict customers’ next two months’ MAB (Monthly Average Balance)- Engineered a hybrid recommendation engine using Python and PySpark, integrating explicit & implicit data (87% F1-score), and developed Power BI dashboards visualizing key financial KPIs that drove 15% YoY revenue growth and 10% net profit increase- Managed end-to-end Production Support (L1–L3) with 99.9% uptime, led UAT ensuring full regulatory compliance, and handled critical batch changes, including daylight saving time transitions.

Education

• S.S.M.C.D College

  Higher Secondary School, Physics, Chemistry, Maths

• PW Institute of Innovation

  Data Science Masters Certification programme, Data Science

• Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

  Bachelor of Technology - BTech, Computer Science