I have spent a decade in Data Science industry having rich experience across product and consulting organizations. Led projects in classical ML, NLP, RL and GenAI. I have a special interest in how data drives modern age enterprises and strategic decision making. After an stint with one of the major consulting firm ( Insurance and Banking clients) and applications in Healthcare industry, I am working on applying cutting edge AI/ML in precision manufacturing industry Hands on experience in implementation of AI /ML to real world problems. Skills: 1. Traditional Machine Learning : Linear Regression | Generalised Linear Models (Logistic Regression, Poisson Regression) | Tree based algorithms | Clustering (K-Means, Hierarchical) | K-Nearest Neighbour | Dimensionality Reduction (Principal Component Analysis, Exploratory Factor Analysis | Association Rule Mining (Apriori Algorithm) | Time Series Analysis 2. NLP (NLTK, spaCy) 3. Reinforcement Learning - Q Learning 3. Statistical Analysis Tool: Python, R, SAS, Alteryx 4. MLops: Airflow 5. Data Mining: Snowflake, AWS S3 / Athena, MS SQL (Adminer) 6. Data Visualisation Tools: ggplot2 (R), Plotly, Spotfire, Tableau Professional Certifications - -------------------------------------- Application of AI in Healthcare (University of Groningen) - 2021 EY Bronze Badge (Data Science) - 2019 SAS Analytics (SAS Inc., US) - 2015 CPIM - Supply Chain Management (American Production and Inventory Control Society) - 2014 Six Sigma Green Belt (ADAAP Process Solutions) - 2013