Data Scientist Analyst

Narayana Rao Lingamaneni

+1-781-***-**** Boston, MA ***********.*@************.*** linkedin.com/in/narayana-rao-lingamaneni/ github.com/narayana-3005/ Professional Summary

Data Scientist and Product Analyst skilled in Python, SQL, enhancing healthcare outcomes via predictive models and automated workflows. Proficient in cloud platforms (Azure, GCP, AWS) and passionate about AI-driven solutions to reduce costs, readmissions, and deliver stakeholder-focused insights.

Technical Skills

• Programming Languages: Python (Pandas, NumPy, Matplotlib, Scikit-learn, PyTorch), SQL, R

• Visualization Tools: Tableau, MS Power BI, Excel

• Cloud Platforms: Azure (VNet, Cosmos DB, DevOps), GCP (Cloud Build, Cloud Run, Vertex AI), AWS (DynamoDB, VPC, EC2)

• Data & Machine Learning: ETL Pipeline Development, Regression, Classification, Clustering, Natural Language Processing

• Other: A/B Testing, Data Visualization, Statistical Analysis Professional Experience

Research Volunteer in Archimedes

Northeastern University 09/2024 – Present

• Developed Python-based predictive models to optimize treatment efficiency, improving patient outcomes by 15%.

• Analyzed healthcare datasets using SQL, delivering actionable insights that guided strategic decisions for senior stakeholders.

• Designed and executed A/B tests in partnership with cross-functional teams, driving a 20% boost in user engagement.

• Automated data pipelines, reducing manual reporting time by 30%. Data Analyst

9Star – Hyderabad, Telangana Sep/2022 – March/2023

• Analyzed user behavior data to inform product development decisions, driving a 10% increase in customer retention.

• Built Tableau dashboards for KPI tracking and conducted analyses to support strategic decisions. IOT Intern

Geethanjali College of Engineering and Technology – Hyderabad, Telangana Jun/2021 – Dec/2021

• GSM-based fire alert system with Arduino, achieving 95% accuracy and 60% faster SMS response.

• Optimized system performance, cutting false alarms by 20%, and documented architecture for scalability. Education

Master of Science in Data Analytics Engineering

Northeastern University – Boston, MA Sep/2023 – Dec/2024 Coursework: Data Mining, MLOps, Neural Networks & Deep Learning, Engineering Project Management, Computation & Visualization Bachelor of Science in Electronics and Communication Engineering Geethanjali college of Engineering and Technology – Hyderabad, India Jun/2018 – May/2022 Relevant Coursework: Database Management, Supply Chain Management, Computer Networks and Operating Systems Projects

AWS - Driven Healthcare Cost Prediction

• Built a regression model using Python to predict healthcare costs, achieving 85% accuracy.

• Analyzed factors influencing costs and provided actionable recommendations to reduce expenses by 10%. Patient Readmission Analysis

• Conducted exploratory data analysis (EDA) on patient readmission rates using SQL and Python.

• Identified key drivers of readmissions and proposed actionable solutions, reducing readmission rates by 12%. RAG-Based Financial Analysis Chat-bot GitHub Repo

• Engineered a financial chatbot with RAG architecture, integrating live stock data and news via GCP.

• Used TFDV for validation, DVC for versioning, and Vertex AI for tracking, reducing latency by 35%. Certifications

Salesforce AI Specialist Google Data Analytics Professional Certificate Google Project Management Professional Certificate

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