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Developed a predictive model to accurately forecast hourly traffic volumes at different road junctions based on historical traffic data. This is a mentor-led internship offered by UBER in colaboration with mentormind.in UPGRAD
An OLTP banking system is implemented, emphasizing data integrity and atomicity, and leveraging constraints, triggers, stored procedures, views, and indexing to enhance query performance.
Women's_Maternal and Reproductive Health around the world (WHO Data cleaning, Data transformation, Data Normalization, Data Engineering, Data modeling, ERD Dia, Exploratory Analysis, Data visualization)
This project is a tool for extracting Valorant player statistics from tracker.gg using Selenium and pandas. The script collects data from multiple players and generates a DataFrame containing detailed information about the players, such as name, total playing time and total number of matches.
This data science project focuses on using machine learning to predict car prices based on diverse features. Explore the factors that influence car values and construct a reliable pricing model.
This project uses Python to analyze advertising expenses and demographics. It provides valuable insights for effective sales forecasting, optimizing business strategies, and improving decision-making.
This Dashboard Features include interactive visualizations, drill-down capabilities, real-time updates, and a user-friendly interface for data-driven decision-making in healthcare.
A mini project to showcase my skills with Basics Data Models, starting from what is data model, why is data modelling important, relational model and database to ACID properties continued with an exercise of creating a table with PostgreSQL
This project involves working with comprehensive football dataset covering the Top 5 leagues in Europe from 2014-2020. I worked on Data Extraction,Data cleaning and manipulation,Data Modelling and Data Loading