SAIRAM DONDAPATI
Summary
Data Scientist and ML Engineer with 4+ years of experience building and deploying production-scale machine learning, deep learning, NLP, and Generative AI solutions. Strong expertise in Python, SQL, cloud ML platforms, and MLOps. Proven impact across healthcare analytics and quantitative finance through predictive modeling, LLM-powered applications, and data-driven decision support.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Scientist
Impact Advisors
04.2023 - Current
- Designed and deployed ML, NLP, and Generative AI solutions for enterprise healthcare clients across clinical, operational, and financial analytics.
- Built LLM-based NLP pipelines to extract diagnoses and clinical entities from EHRs, improving data usability by ~40%.
- Developed end-to-end ML pipelines on AWS SageMaker, reducing model release cycles by ~30%.
- Implemented GenAI-driven summarization and decision-support tools, cutting manual chart review by 35–45%.
- Trained and deployed deep learning models for risk prediction and anomaly detection using TensorFlow and PyTorch.
- Productionized ML services with Docker, FastAPI, MLflow, CI/CD, and monitoring.
- Partnered with clinicians and stakeholders to deliver HIPAA-compliant, explainable AI solutions.
AI /Machine Learning Software Engineer
WorldQuant
08.2020 - 11.2021
- Developed ML and deep learning models to extract predictive signals from large-scale financial datasets.
- Built NLP pipelines for financial news and reports to generate sentiment and alpha features.
- Implemented time-series forecasting models for market trend and volatility prediction.
- Created large-scale feature engineering pipelines using Spark and AWS S3.
- Automated training, evaluation, and deployment workflows with Airflow and CI/CD.
- Optimized performance-critical pipelines using NumPy and C++.
Education
Master of Science - Computer And Information Sciences
Sacred Heart University
Fairfield, Connecticut, CT03-2023
Skills
- Languages and data: Python, SQL, PySpark, Pandas, NumPy
- Machine learning: regression, classification, clustering, feature engineering, model evaluation, hyperparameter tuning
- Deep learning: TensorFlow, PyTorch, neural networks, CNNs, RNNs, transformers
- NLP and generative AI: large language models (LLMs), Hugging Face, LangChain, prompt engineering, retrieval-augmented generation (RAG), spaCy, NLTK, text embeddings
- Time series and forecasting: ARIMA, LSTM, Prophet, volatility forecasting
- MLOps and deployment: Docker, Kubernetes, MLflow, Airflow, FastAPI, CI/CD pipelines, model monitoring
- Cloud and data platforms: AWS (SageMaker, S3, EMR, Redshift, Kinesis), Azure, Google Cloud Platform
- Analytics and experimentation: A/B testing, hypothesis testing, statistical analysis, data visualization
Certification
Certificate in Artificial Intelligence and Machine Learning – Vishlesan i-Hub, IIT Patna
Timeline
Data Scientist
Impact Advisors
04.2023 - Current
AI /Machine Learning Software Engineer
WorldQuant
08.2020 - 11.2021
Master of Science - Computer And Information Sciences
Sacred Heart University