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Sravan Reddy User

@sravanreddyuser1

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Senior Data Scientist specializing in AI/ML solutions across industries.

India

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on impactful AI projects.

I am a Senior Data Scientist with over 11 years of experience in delivering innovative AI and ML solutions across various sectors, including healthcare, finance, retail, and manufacturing. My expertise lies in designing scalable ML pipelines and implementing robust MLOps practices that ensure model reliability and reproducibility. I have successfully extracted insights from over 30 million records, utilizing advanced technologies such as Python, SQL, and cloud-native platforms.

Throughout my career, I have developed and deployed numerous AI applications, including NLP pipelines for clinical coding and sentiment analysis, as well as real-time fraud detection systems. My work has consistently resulted in significant efficiency gains and improved decision-making processes for my clients. I am passionate about mentoring junior data scientists and collaborating with cross-functional teams to align ML solutions with operational needs, ensuring that our AI initiatives drive tangible business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist/AI/ML Engineer

Current

McKesson

Mar 2024 - Present (1 year 5 months)

Ingested over 30 million patient records using PySpark, Delta Lake, and Azure Data Factory to support predictive modeling and analytics for clinical and operational use cases. Built LangChain + OpenAI-powered LLM applications for EMR summarization and real-time treatment recommendations within physician dashboards.

Pyspark Delta Lake Azure Data Factory NLP Transformers Lang Chain Optuna KerasTuner Onnx fastAPI Kubernetes Feast Airflow MLFlow Evidently AI Power BI SHAP HIPAA)GitHub Actions)Helm SQL SpaCy IAM Bi LSTM

Data Scientist

Principal Financial Group

Dec 2019 - Feb 2024 (4 years 2 months)

Designed demand forecasting models using Prophet, LSTM, and XGBoost, improving store-level inventory planning accuracy by 30% across seasonal SKUs. Engineered FastAPI-based services for SKU-level forecast delivery, containerized with Docker and integrated into the supply chain portal.

Prophet XGBoost Pyspark fastAPI Docker Optuna GridSearchCV NLP Tableau SHAP YOLOv5 Feast MLFlow Evidently AI GitHub Actions)SQL PostgreSQL Python Jira Confluence Kubernetes YOLO V5

Data Scientist

METRO Wholesale India

Aug 2017 - Oct 2019 (2 years 2 months)

Designed end-to-end demand forecasting models using Prophet, XGBoost, and LSTM, improving inventory prediction accuracy by 32% across 500+ stores. Engineered recommendation systems using collaborative filtering and content-based methods to suggest cross-sell items and optimize shelf placement, increasing basket size by 17%.

Data Analyst

Stanley Black & Decker, Inc

Jun 2015 - Jul 2017 (2 years 1 month)

Developed predictive maintenance models using LSTM and XGBoost to detect machine failure patterns, reducing downtime by 26% across production lines. Deployed model outputs into Power BI dashboards to visualize machine health scores, OEE, and production KPIs in real time.

XGBoost Azure Data Factory Pyspark Anomaly Detection Isolation Forest Airflow Power BI MLFlow Docker SQL Server Git Hive HDFS SparkSQL SCADA MES Integration Jira Kubernetes

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University

Bachelor of Science, Computer Science

2011 - 2015

Studied computer science fundamentals, including programming, data structures, and algorithms. Gained foundational knowledge in software development and problem-solving.