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Raghuram Garlapati

@raghuramgarlapati

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Data Scientist with 5+ years of AI/ML experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data science expertise to drive impactful projects and contribute to a forward-thinking team.

As a Data Scientist with over 5 years of experience, I specialize in data extraction, modeling, and machine learning, primarily within the healthcare and financial sectors. My expertise in machine learning algorithms, including regression analysis and neural networks, has enabled me to deliver actionable insights that have resulted in over $1 million in business impact. I am proficient in various methodologies such as SDLC, Agile, and Waterfall, which I leverage to manage cross-functional data science projects effectively.

At United HealthCare Group, I pioneered sophisticated NLP models that improved health plan recommendations and developed scalable RESTful APIs for deploying deep learning models. My work has consistently focused on enhancing user satisfaction and operational efficiency, achieving significant improvements in model accuracy and customer engagement. I am passionate about utilizing data visualization tools like Tableau and Power BI to communicate complex insights clearly and effectively, ensuring that stakeholders can make informed decisions.

Throughout my career, I have demonstrated a strong ability to optimize data workflows and enhance predictive analytics capabilities. I am committed to continuous learning and staying updated with the latest advancements in AI and machine learning, which I believe are crucial for driving innovation and achieving business goals.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist – AI/ML

Current

United HealthCare Group

Nov 2023 - Present (1 year 9 months)

Pioneered sophisticated NLP models, like TF-IDF and Word2Vec, for improved health plan recommendations, using MLFLOW for experiment monitoring and rigorous version control, delivering a 15% gain in user contentment. Deployed XGBoost, SVM, and LLM algorithms, tracked with DVC, to forecast patient readmission rates with 95% accuracy, preventing 300+ unnecessary hospital re-admissions monthly and sav

NLP TF IDF Word2Vec MLFlow Ggplot2 fastAPI Apache Airflow CI CD GitHub Actions)AWS EC2 AWS Sagemaker Amazon CloudWatch Docker Kubernetes XGBoost SVM LLM HIPAA)HL7 FHIR OMOP SHAP LIME Neural Networks Tableau MySQL

Jr. Data Scientist

Byte Soft Solution

Jun 2020 - Present (5 years 2 months)

Implemented supervised/unsupervised learning algorithms to identify high-risk customers, reducing churn by 20%. Developed and trained deep learning models using PyTorch, Keras (TensorFlow) frameworks, improving loan default prediction accuracy for financial decision-making, and managed via Docker containers for scalable deployment.

Data Science Analyst

Experion Technologies

May 2018 - Present (7 years 3 months)

Collected, cleaned and analyzed 5M+ financial records using R and SQL to model customer transactions and identify revenue leakage. Developed ad-hoc projects to analyze revenue streams, identifying growth opportunities that increased revenue by 10%.

R SQL Python scikit learn TensorFlow Matplotlib NumPy SAS NLP Azure Data Factory Databricks Apache Spark Snowflake Pandas Tableau Excel

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Computer Science

Pursued advanced studies in Computer Science, focusing on specialized topics and research within the field. Developed a strong foundation in theoretical and applied computer science principles.

Bharath Institute of Higher Education & Research

Bachelor, Computer Science

Completed a Bachelor's degree in Computer Science, gaining foundational knowledge in programming, algorithms, and data structures. Engaged in various projects to apply theoretical concepts to practical problems.