Business Analyst

Sneh Patil Data Analyst Intern

Boston, MA (open to Relocate) 857-***-**** *****.*****@************.*** Linkedin EDUCATION

Northeastern University - Boston, MA Sept 2024 - May 2026 Master of Science in Information Systems

University of Mumbai - Mumbai, India Feb 2021- May 2024 Bachelor of Technology in Electronic Engineering (Minor in Computer Science) TECHNICAL SKILLS

Languages: Python, SQL, JavaScript, TypeScript

Machine Learning: Scikit-learn, PyTorch, TensorFlow, XGBoost, Regression Models, Time Series Forecasting Data Engineering: SQL, PySpark, ETL, Data Preprocessing, Data Cleansing, Feature Engineering Data Visualization: Power BI, Tableau, Matplotlib, Seaborn, Excel Cloud & Platforms: AWS, Firebase, Docker, Postgres, AWS S3 Business Acumen: Sales, Finance, Customer Success, Product Design Tools & Frameworks: React, Node.js, Express.js, Jupyter, Git, GitHub, Apache Spark, Spring, Databricks, Git, GitHub EXPERIENCE

Sigma Infotech - Data Engineering Intern Jun 2023 - Dec 2023

● Developed ETL workflows using Python and SQL for real-time analytics, performing Data Collection and transformation processes, enabling faster decision-making and improved insights across 10+ client projects, resulting in a 50% increase in efficiency.

● Implemented machine learning models, including regression and classification algorithms, for predictive analytics, enhancing business decisions by 30%.

● Created interactive dashboards and reports using Power BI for Data Visualization, delivering clear insights and reporting for business stakeholders and product teams.

● Collaborated with operations and IT teams to ensure data consistency and accuracy across ERP and Warehouse Management Systems, optimizing data flow for improved operational efficiency.

● Developed and maintained secure web services using Node.js and Express.js, ensuring high availability and scalability for 60 concurrent users.

Flair Labs Pvt Ltd - Engineering Intern Jan 2023 - May 2023

● Built backend systems using Node.js to support order processing and order management, enhancing data flow, scalability, and web service performance for 150+ users, resulting in a 50% increase in efficiency.

● Developed a RESTful API system for warehouse inventory tracking, integrating third-party services and improving efficiency by 50%, handling 100+ requests per second.

● Optimized database queries and indexing strategies for order management data, resulting in an 85% reduction in query execution time.

ACADEMIC PROJECTS

AI-Powered Personalized Learning Assistant Jan 2025 - Present

● Developed an AI-driven learning assistant using GPT-4 and LangChain and personalizing learning paths for users.

● Developed a recommender system component within the AI-driven learning assistant, improving user engagement and learning outcomes by 30%.

Customer Retention Prediction Model April 2025 – Present

● Developed a predictive model using classification trees and logistic regression to forecast customer churn for an e- commerce platform.

● Developed a causal inference model to analyze the impact of various marketing campaigns on customer retention, improving targeting efficiency by 80%.

Crypto Web Application Jan 2025 – May 2025

● Created a real-time dashboard to track cryptocurrency market trends using React and Firebase.

● Optimized data fetching with GraphQL, reducing latency by 40% and improving user experience.

● Implemented Firebase Cloud Messaging, leading to a 35% increase in user retention. Revenue Cycle Management Web Application Oct 2024 - Dec 2024

● Designed a web application for automating the revenue cycle management system for healthcare, improving claim management efficiency.

● Integrated secure payment gateways and implemented data analytics features to improve claim submission accuracy. PUBLICATIONS

● Data Science Approach to Stock Market Analysis – IJISRT Aug 2023

● ML-Based Phishing Detection Using NLP Features – IJISRT July 2023

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