Hi there!

i am Rutika Kadam

Data & AI Professional

Data Science & Analytics | Machine Learning | Generative AI

Driven by the belief that “Data is a gift from yesterday that you receive today to make better tomorrow.” I'm deeply passionate about harnessing the power of data to solve real-world problems, driving my curiosity and dedication to Data Science and Artificial Intelligence.

About Me

about me

  • I am Rutika Avinash Kadam, a Master's in Data Science student at the State University of New York at Stony Brook.
  • 4 years of professional experience transforming complex data challenges into actionable insights.
  • Specialized in end-to-end ML pipelines, from data processing to production deployment.
  • Core skills: Data Science and Analysis, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence.
  • I am actively seeking full-time opportunities starting May'2026 in roles such as Data Scientist, Machine Learning Engineer, AI/ML Engineer, Data Analyst, Business Analyst and Data Engineer.

My Education

  • Master of Science in Data Science, 2024 – 2026

    State University of New York at Stony Brook

  • Bachelor of Engineering in Information Technology, 2016 – 2020

    Savitribai Phule Pune University

Download CV Projects

my skills

Machine Learning
Deep Learning
Natural Language Processing
Artificial Intelligence
Data Wrangling
Predictive Modeling
Data Visualization
Extract Transform Load
Python
R
MySQL
Statistics
Azure
GIT
Microsoft Office Suite

my projects

Project 1

Cardiovascular Diseases Prediction

A dual-model deep learning application that predicts cardiovascular disease risk using both clinical data (ANN) and medical heart-scan images (CNN), integrated into an interactive Streamlit interface.

Project 2

AskYourDocument

A Retrieval-Augmented Generation (RAG) application that enables intelligent Q&A over documents and web content using FAISS, SBERT, and Google Generative AI.

Project 3

Airbnb Price Prediction

A machine learning project predicting Airbnb listing prices in Seattle through Exploratory Data Analysis, regression modeling, and sentiment analysis — uncovering key pricing factors to help hosts optimize their listings.

Project 4

AirlineDB Insights

Executed SQL-based analysis on airline data to derive KPIs like on-time rates and occupancy. Leveraged joins, window functions, and CASE logic for dynamic, 95%-accurate reporting.

Project 5

ConversionFlow Analyzer

An interactive Power BI dashboard for analyzing Swiggy’s user conversion funnel and channel trends.

Project 6

SmartApply

A Gradio-based resume analysis app leveraging Google Gemini API to generate ATS match %, summaries, and skill insights, deployed on Hugging Face Spaces.

my experience

  • Built missing-data imputation pipelines using multiple imputation and trained supervised machine learning models on imputed datasets to predict physical function decline & fracture risk in the Study of Osteoporotic Fractures cohort.
  • Engineered a Retrieval-Augmented Generation (RAG) pipeline using OpenAI GPT-4, embedding models, and LlamaIndex to translate SAS/R mixed-effects outputs into interpretable research narratives.
  • Collaborated with Vulnerability Management team to perform Exploratory Data Analysis on 1 Million+ system vulnerability records reporting from Qualys VMDR, uncovering trends, anomalies, and threat vectors using Python and MySQL.
  • Developed machine learning models (Linear/Logistic Regression) to predict vulnerability exploitability and patch prioritization, leveraging engineered features, reducing security risks by 15% and improving efficiency by 25%
  • Applied unsupervised semantic clustering (E5 + HDBSCAN) on remediation text to identify recurring vulnerability remediation patterns at scale (1 Million+ findings).
  • Fine-tuned BERT classifier on cluster-derived labels to predict remediation categories in real time, enabling bulk deployments and automated ticket assignment, cutting manual triage by 40%
  • Employed Data Analysis Expressions (DAX)-enhanced KPIs like CVSS score, threat intelligence, exploitability, risk levels, remediation timelines, deployment status, compliance rates within Power BI driven Vulnerability Analysis Dashboard.
  • Designed and deployed feasible technical solutions using MS Endpoint Configuration Manager to remediate Windows and application vulnerabilities with 99% compliance; optimized configurations and automated tasks using PowerShell, boosting productivity by 25%.
  • Designed and implemented ETL pipelines using Azure Data Factory to process approximately 30GB of customer feedback and web traffic data in Azure Data Lake Gen2, enabling scalable data integration and analytics for Swiggy, India’s leading online food delivery platform.
  • Developed Power BI dashboards to visualize conversion funnel metrics (Traffic → Listing → Menu → Cart → Order) and marketing channel attribution, identifying drivers of traffic variability and campaign performance, increasing high-intent traffic by 15%.

contact me

My Email

rutikakadam2727@gmail.com

My Number

+1 (934) 949-8653

My Address

New York Metropolitan Area, New York, USA