Jammula Tejmahanth

About Jammula Tejmahanth

With 10+ years of experience in Retail, Banking & Financial Services, and Healthcare, I specialize in Data Science, Machine Learning, NLP, Deep Learning, and Predictive Modeling. Skilled in data analytics, feature engineering, statistical modeling, and data visualization, I have hands-on expertise in Python, SQL, Azure, AWS, Tableau, and Big Data tools. Key Skills: Machine Learning (Regression, Decision Trees, XGBoost, SVMs, Neural Networks) NLP (Tokenization, Lemmatization, Sentiment Analysis, RNNs) Data Engineering (ETL, Azure Data Factory, AWS Pipelines, Spark) Cloud Technologies (Azure Synapse, AWS SageMaker, Redshift, DynamoDB) Data Visualization (Tableau, Matplotlib, Seaborn) Passionate about solving complex business problems with AI-driven solutions and leveraging cloud technologies for scalable data processing. Always eager to learn and adapt to emerging trends in AI & Data Science.

Experience

1. Senior Data Scientist

   Mastercard

   Feb 2023 — Present · St Louis, MO, US

   Led end-to-end data science projects to drive business insights and predictive analytics across Retail, BFSI, and Healthcare domains. Designed and deployed scalable ML models (XGBoost, KNN, Logistic Regression, SPSS) for use cases like customer churn, fraud detection, product penetration, and demand forecasting.Built and productionized ML pipelines using Python, SQL, R, AWS SageMaker, and MLOps frameworks. Developed RAG-based NLP solutions with LangChain and ChatGPT API to enhance enterprise search and customer insights. Automated data workflows and integrated model explainability (SHAP, LIME) to drive trust and adoption.Created dynamic dashboards in Tableau for sales, digital engagement, and KPI tracking, reducing decision latency by 30%. Collaborated with business and engineering teams to streamline data ingestion, transformation, and visualization from DB2, Oracle, Teradata, Hive, and Spark environments.Partnered cross-functionally to optimize cloud-first analytics pipelines, integrate structured/unstructured data, and support AI/ML-driven transformation at scale.

Education

• SRM University (Sri Ramaswamy Memorial University)

  Bachelor of Technology - BTech

  2009 — 2013

• Kent State University

  Master's degree

  2013 — 2014