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Hi, I’m Chetan Kotappa. I’m a Data Scientist with over 4 years of experience applying ML, data engineering, and analytics to solve business problems across manufacturing, automotive, and enterprise sectors. I design and deploy forecasting, NLP, and optimization models using Python, SQL, Power BI, and Azure Databricks to deliver actionable insights and scalable solutions.\n\nI enjoy automating end-to-end ML pipelines, improving model performance, and delivering clear, data-driven dashboards that empower stakeholders to make strategic decisions. I thrive in cross-functional teams and love turning complex analytics into tangible business outcomes.…Hi, I’m Chetan Kotappa. I’m a Data Scientist with over 4 years of experience applying ML, data engineering, and analytics to solve business problems across manufacturing, automotive, and enterprise sectors. I design and deploy forecasting, NLP, and optimization models using Python, SQL, Power BI, and Azure Databricks to deliver actionable insights and scalable solutions.\n\nI enjoy automating end-to-end ML pipelines, improving model performance, and delivering clear, data-driven dashboards that empower stakeholders to make strategic decisions. I thrive in cross-functional teams and love turning complex analytics into tangible business outcomes.

Chetan Kotappa

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Chetan Kotappa. I’m a Data Scientist with over 4 years of experience applying ML, data engineering, and analytics to solve business problems across manufacturing, automotive, and enterprise sectors. I design and deploy forecasting, NLP, and optimization models using Python, SQL, Power BI, and Azure Databricks to deliver actionable insights and scalable solutions.\n\nI enjoy automating end-to-end ML pipelines, improving model performance, and delivering clear, data-driven dashboards that empower stakeholders to make strategic decisions. I thrive in cross-functional teams and love turning complex analytics into tangible business outcomes.…Hi, I’m Chetan Kotappa. I’m a Data Scientist with over 4 years of experience applying ML, data engineering, and analytics to solve business problems across manufacturing, automotive, and enterprise sectors. I design and deploy forecasting, NLP, and optimization models using Python, SQL, Power BI, and Azure Databricks to deliver actionable insights and scalable solutions.\n\nI enjoy automating end-to-end ML pipelines, improving model performance, and delivering clear, data-driven dashboards that empower stakeholders to make strategic decisions. I thrive in cross-functional teams and love turning complex analytics into tangible business outcomes.

Available to hire

Hi, I’m Chetan Kotappa. I’m a Data Scientist with over 4 years of experience applying ML, data engineering, and analytics to solve business problems across manufacturing, automotive, and enterprise sectors. I design and deploy forecasting, NLP, and optimization models using Python, SQL, Power BI, and Azure Databricks to deliver actionable insights and scalable solutions.\n\nI enjoy automating end-to-end ML pipelines, improving model performance, and delivering clear, data-driven dashboards that empower stakeholders to make strategic decisions. I thrive in cross-functional teams and love turning complex analytics into tangible business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

ML Engineer at CVS Health

January 1, 2025 - November 20, 2025

Developed a CNN model to classify medical images for early diabetic retinopathy detection with 92% accuracy; designed RNNs to predict hospital readmissions from time-series EHR data, reducing readmission rates by 15%; built an NLP pipeline to extract sentiment from patient feedback and clinical notes; engineered end-to-end MLOps pipelines using MLflow, CI/CD workflows, and AWS to deploy and monitor healthcare models, accelerating release cycles by 35% and ensuring HIPAA compliance; automated risk reporting and visualization dashboards with Python, SQL, AWS Athena, and Power BI for high-quality insights and streamlined decision support.

Data Science Intern at Service Experts

December 1, 2024 - December 1, 2024

Developed and productionized an 83% accurate XGBoost forecasting model in Azure Databricks for real-time weekly/daily predictions across 75+ centers; enhanced robustness via hyperparameter tuning (Grid Search) and SMOTE to address class imbalance; integrated model forecasts into Power BI dashboards for real-time trend analysis; optimized data infrastructure by refining SQL queries for 8-10 core reports and migrated legacy Excel reports to Power BI with advanced DAX.

Machine Learning Intern at European Automotive ATX

April 1, 2024 - April 1, 2024

Architected end-to-end ML workflow with feature engineering for seasonality and event-driven factors (e.g., F1 race) to improve revenue forecast accuracy and optimize multi-channel ad budgets; engineered a gradient boosting model yielding ROI predictions, revealing digital ads outperformed billboards with diminishing returns; built a budget optimization framework reducing wasted ad spend by ~20% and improving revenue projection precision; delivered an interactive dashboard enabling scenario planning for ad spend.

Associate Data Scientist at WebCode IT

June 1, 2023 - June 1, 2023

Engineered end-to-end ML models using Python, TensorFlow, and Scikit-learn; built NLP pipelines with Hugging Face and SpaCy, improving prediction accuracy by 20% for key client solutions; implemented MLOps with MLflow and Docker, automating deployment on Azure Kubernetes and reducing deployment time by 25%; developed interactive Power BI dashboards translating EDA insights into actionable BI; leveraged Azure Databricks and GCP BigQuery to build scalable data processing workflows, reducing data pipeline costs by 20%.