I'm a data scientist with 5+ years of experience spanning the full ML lifecycle, from model development to large-scale deployment. I specialize in building, training, and deploying deep learning models (PyTorch, TensorFlow) and leveraging LLMs for advanced NLP tasks. I architect robust MLOps pipelines using Apache Spark, Docker, and AWS SageMaker, improving model accuracy and deployment speed, and I deliver data-driven solutions that drive measurable ROI. I thrive on turning data into business impact and enjoy collaborating with cross-functional teams.

SRIKANTH REDDY PUTNALA

I'm a data scientist with 5+ years of experience spanning the full ML lifecycle, from model development to large-scale deployment. I specialize in building, training, and deploying deep learning models (PyTorch, TensorFlow) and leveraging LLMs for advanced NLP tasks. I architect robust MLOps pipelines using Apache Spark, Docker, and AWS SageMaker, improving model accuracy and deployment speed, and I deliver data-driven solutions that drive measurable ROI. I thrive on turning data into business impact and enjoy collaborating with cross-functional teams.

Available to hire

I’m a data scientist with 5+ years of experience spanning the full ML lifecycle, from model development to large-scale deployment. I specialize in building, training, and deploying deep learning models (PyTorch, TensorFlow) and leveraging LLMs for advanced NLP tasks. I architect robust MLOps pipelines using Apache Spark, Docker, and AWS SageMaker, improving model accuracy and deployment speed, and I deliver data-driven solutions that drive measurable ROI. I thrive on turning data into business impact and enjoy collaborating with cross-functional teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Scientist at Humana
January 1, 2024 - Present
Engineered and deployed a real-time patient risk stratification model using XGBoost and LightGBM, improving predictive accuracy by 18% and enabling proactive healthcare intervention. Built a conversational AI chatbot using NLP techniques with BERT and LLMs, reducing customer service query resolution time by 40% and handling over 100,000 inquiries per month. Orchestrated end-to-end ML pipelines with Apache Airflow to automate data ingestion from clinical data sources into Snowflake, streamlining data availability for analytics teams by 30%. Trained and fine-tuned CNNs for medical image analysis using AWS SageMaker, achieving 95% accuracy in early disease detection. Implemented a robust A/B testing framework to evaluate a new recommendation algorithm, providing data-driven insights that increased user engagement on the digital health portal by 12%. Built and managed automated dashboards in Tableau and Power BI that visualized key model performance metrics (ROC-AUC, Precision/Recall) and
Data Scientist at Space Infolab
January 1, 2019 - July 1, 2022
Developed a Time Series Forecasting model using LSTM and PyTorch to predict stock prices, achieving a 15% improvement in forecast accuracy over traditional methods. Engineered and optimized ETL/ELT pipelines using Apache Spark and Hadoop to process terabytes of financial market data, reducing data processing time by 50%. Built and evaluated a variety of ML models for a product recommendation engine, resulting in a 10% increase in cross-selling. Performed data wrangling and feature engineering on over 500GB of unstructured e-commerce data, improving the accuracy of a customer churn prediction model by 15%. Created automated reports and visualizations using R (ggplot2) and Advanced Excel (VBA) to present findings, improving reporting efficiency by 30%. Wrote advanced SQL queries to extract, transform, and analyze data from MySQL, NoSQL and PostgreSQL, reducing data retrieval time for analytical reports by 25%. Conducted rigorous A/B testing on new product features, analyzing statistical
Data Scientist, Artificial Intelligence at Humana
January 1, 2024 - Present
Engineered and deployed a real-time patient risk stratification model using XGBoost and LightGBM, improving predictive accuracy by 18% and enabling proactive healthcare interventions. Developed a conversational AI chatbot using NLP techniques with BERT and LLMs, reducing customer service query resolution time by 40% and handling over 100,000 inquiries per month. Orchestrated end-to-end ML pipelines with Apache Airflow to automate data ingestion from clinical sources into Snowflake, streamlining data availability for analytics by 30%. Leveraged AWS SageMaker to train and fine-tune CNNs for medical image analysis, achieving 95% accuracy in early disease detection. Implemented a robust A/B testing framework to evaluate a new recommendation algorithm, increasing user engagement on the digital health portal by 12%. Built dashboards in Tableau and Power BI for real-time model performance metrics. Containerized model-serving with Docker and Kubernetes, ensuring 99.9% uptime and scalable to hi

Education

Master of Science in Computer Science at The University of Texas at Arlington
August 1, 2022 - May 1, 2024
Bachelor of Science in Computer Science at Gokaraju Rangaraju Institute of Engineering and Technology
June 1, 2015 - May 1, 2019
Master of Science in Computer Science at The University of Texas at Arlington
August 1, 2022 - May 1, 2024
Bachelor of Science in Computer Science at Gokaraju Rangaraju Institute of Engineering and Technology, India
June 1, 2015 - May 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Retail, Other, Professional Services