Rutika Avinash Kadam

About Rutika Avinash Kadam

Graduate student at Stony Brook University, pursuing a Master of Science in Data Science (Graduating May 2026). Actively seeking Full-Time opportunities in Data Analyst | Data Scientist | Machine Learning Engineer | AI/ML Engineer | Data Engineer Core Skills & Interests:Programming Languages: Python, R, SAS, SQL (MySQL, PostgreSQL, PL/SQL).Data Science & Machine Learning Libraries: NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, Keras, PyTorch, Hugging Face.Data Engineering & Big Data: Azure Data Factory, Data Lake, Databricks, MS Fabric, Spark, Snowflake, SSMS, SSIS.MLOps & Deployment Tools: Flask, Streamlit, Gradio, MLflow, FastAPI, Docker.Visualization & Analytics: Power BI, Tableau, Microsoft Excel.Tools & Platforms: Visual Studio Code, Jupyter Notebook, SAS, RStudio, Postman, Azure, AWS, ServiceNow, Jira, Microsoft Endpoint Configuration Manager, Qualys, Aternity, Git, GitHub.Professional Experience -– As a Data Analyst at Tata Consultancy Services, I worked on large-scale cybersecurity analytics, analyzing 1M+ vulnerability records across 55K+ Windows assets using Python, SQL, and ML. I built predictive exploitability models and NLP pipelines (BERT, embeddings, clustering) that reduced manual triage by 60%, improved patch prioritization efficiency by 25%, and lowered security risk by 15%, while enabling 99% compliance through automated remediation workflows.– As a Graduate Research Assistant at Stony Brook Medicine, I build end-to-end statistical and machine learning pipelines in R & SAS for the Study of Osteoporotic Fractures (women 65+), focusing on data imputation, regression, bagging, and boosting models to predict physical function decline and fracture risk. My work emphasizes robust cross-validation, hyperparameter tuning, and reproducible analysis across multiple imputed datasets.– As a Data Intern at Zensar Technologies, I designed cloud-based ETL pipelines using Azure Data Factory and Azure Data Lake Gen2 to process ~30GB of customer feedback and web traffic data for Swiggy. I applied NLP-based sentiment analysis to identify loyal vs. at-risk users, enabling data-driven retention strategies and customer experience insights.Personal Traits:Self-motivated, energetic, and highly ethical; strong communication skills, proactive listener, and dedicated to contributing effectively toward organizational goals.

Experience

1. Graduate Research Assistant (Data Science)

   Stony Brook Medicine

   Jul 2025 — Present · Stony Brook, NY, US

Education

• Savitribai Phule Pune University

  Bachelor's degree, Information Technology

• St. Ursula Higher Secondary School

  HSC, Science

• Infant Jesus High School

  SSC

• Stony Brook University

  Master's degree, Data Science