Bhavik Nagre

AI & Data Science Professional

LinkedIn | GitHub | Email | Phone

[email protected]

+91-8459569923

Maharashtra, IN

About

Proven ability to analyze large datasets, debug complex SQL queries, and transform raw data into actionable business insights. Hands-on experience in data cleaning, feature engineering, and building robust predictive models. Skilled in leveraging machine learning techniques to solve real-world problems and drive data-informed decision-making.

Work Experience

Intern

Xscientist

Feb 2025 - Jul 2025

Contributed to the development and implementation of a Legal AI web application, focusing on end-to-end functionality, database architecture, and cloud integration.

  • Developed a Legal AI web application using Django, focusing on end-to-end implementation.
  • Designed and implemented robust database architecture to support structured legal data storage and retrieval.
  • Integrated Azure Cloud for essential use cases including file storage and data management.
  • Utilized Supabase (PostgreSQL-based backend-as-a-service) to efficiently store and manage case-related data.

Trainee

AlmaBetter

Dec 2023 - Nov 2024

Successfully completed an intensive Full Stack Data Science program, applying learned skills to real-world projects and case studies.

  • Successfully completed an intensive Full Stack Data Science program, gaining hands-on experience in Python, SQL, Machine Learning, and Data Visualization.
  • Delivered real-world projects, including hotel booking analysis and cricket data insights, demonstrating strong skills in business intelligence and data-driven decision-making.
  • Conducted a comprehensive Ola case study, exploring business strategy, market segmentation, and competitive positioning to strengthen analytical and strategic thinking capabilities.

Education

Computer Engineering

Rajarambapu Institute Of Technology

Jun 2021 - Jun 2025

Projects

Cricket Data Insights

Jul 2024 - Aug 2024

Analyzed extensive cricket performance data to uncover key insights into player performance, winning patterns, and team strategies.

Sentiment Analysis of Tweets

Mar 2024 - May 2024

Developed a real-time sentiment analysis web application for classifying tweets as positive or negative.

Skills

Languages

  • Python
  • SQL

Databases

  • PostgreSQL
  • Supabase
  • MongoDB

Frameworks & Libraries

  • Django
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch
  • Streamlit
  • Matplotlib
  • Selenium

Developer Tools

  • Jupyter Notebook
  • Tableau
  • Power BI
  • Excel

Cloud & Deployment

  • Microsoft Azure
  • Docker

Technologies

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Generative AI
  • Statistics