Bhavik Nagre

AI & Data Science Professional
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

Xscientist
|

Intern

Summary

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

Highlights

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.

AlmaBetter
|

Trainee

Summary

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

Highlights

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

Rajarambapu Institute Of Technology

Bachelor Of Technology

Computer Engineering

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.

Projects

Cricket Data Insights

Summary

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

Sentiment Analysis of Tweets

Summary

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