Data Science Machine Learning

Neha Masurkar

Jersey City, NJ *****, USA LinkedIn +1-973-***-**** *************@*****.*** GitHub Portfolio EDUCATION

Stevens Institute of Technology, New Jersey September 2024 -May 2026 Master of Science in Data Science

Dwarkadas J. Sanghvi College of Engineering January 2020- May 2024 Bachelor Of Technology in Computer Science and Engineering (Data Science) Relevant Coursework: Machine Learning, Deep Learning, Generative AI, Large Language Models, Natural Language Processing, Artificial Intelligence, Reinforcement Learning, Probability & Statistics, Data Structures & Algorithms, Database Systems, Big Data Analytics. WORK EXPERIENCE

BCG X February 2025- February 2025

Virtual Data Science Intern

• Engineered a Random Forest Classifier achieving 90% accuracy, analyzing 20,000+ records to uncover key churn drivers and insights.

• Improved model performance by 25% through feature engineering and preprocessing, reducing data inconsistencies by 30%.

• Delivered actionable insights with dynamic visualizations and in-depth metrics, enabling strategies projected to reduce churn by 10%. Techno Crafters February 2023- July 2023

Data Science Intern

• Built a machine learning model with 70% accuracy to predict customer preferences, enabling data-driven decision-making.

• Conducted comprehensive data cleaning, testing and validation, ensuring 90% reliability in real-world applications.

• Enhanced model performance using advanced machine learning techniques improving accuracy by 15%. ACADEMIC PROJECTS

Pose-Invariant Face Recognition

• Designed and trained a GAN-based deep learning model using Gen AI-based image generation to generate frontal facial views from non-frontal images, improving facial recognition accuracy by 25% and addressing pose-invariant facial recognition challenges.

• Optimized large-scale data preprocessing pipelines, reducing training time by 30% and storage requirements by 20%, while efficiently processing 750,000+ images.

• Enhanced image realism and reconstruction quality with fine-tuned deep learning models, achieving a 25% boost in output quality and detail for robust face synthesis using advanced neural rendering techniques. Adaptive Travel Recommendation System

• Performed large-scale data ingestion, preprocessing, and feature engineering, applying advanced validation techniques to identify trends and enhance itinerary recommendations, reducing user planning time by 40% through data-driven insights.

• Developed a multi-layered AI-driven recommendation system, using collaborative filtering, content-based filtering, and popularity- based ranking, improving accuracy by 30% through adaptive user profiling.

• Engineered a feedback-driven ranking model leveraging LLM-powered NLP-based sentiment analysis for personalized itinerary suggestions, increasing user engagement by 20%.

Data-Driven Food Analytics & Insights

• Performed data preprocessing, feature engineering, exploratory data analysis (EDA) and data visualization on $12M+ sales data using Power BI, identifying high-demand products and revenue trends, optimizing pricing strategies, and improving cross-selling by 18%.

• Developed a GenAI-powered food recommendation system integrating fine-tuned LLMs for personalized dish recommendations, increasing customer engagement by 30% and enhancing user experience in hospitality businesses.

• Built an AI chatbot with LLM integration, utilizing prompt engineering, real-time retrieval, and semantic search to optimize business analytics, reducing manual reporting time by 40%.

TECHNICAL SKILLS

• Programming Languages: Python, R, SQL, C++, Java, Scala, Bash, MATLAB

• Machine Learning & AI: Supervised and Unsupervised Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Transformer Models, Model Fine-Tuning, Prompt Engineering, Graph Neural Networks

• Frameworks & Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, LangChain, OpenAI API, Amazon Bedrock, Faiss, OpenCV

• Data Engineering & ETL: Feature Engineering, ETL Pipelines, Batch and Stream Processing, MySQL, Vector Databases

• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly

• Big Data Technologies: AWS (S3, Lambda, RDS), Google Cloud Platform, Spark, Hadoop

• Deployment & MLOps: Flask, FastAPI, Docker, Kubernetes, NGINX, Apache Airflow, API Development, CI/CD Pipelines, Git, Jira

• Certificates: AWS Academy Data Engineering, AWS Academy Data Analytics, AWS Academy Cloud architecting EXTRACURRICULAR ACTIVITIES

• Event Management Head: Planned and executed large-scale events, including two hackathons and managed all logistics.

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