Portfolio - Aditya Kumar Yadav

Hello, I am

Aditya Kumar Yadav

Data Analyst | Data Scientist

Resume

1

Python
Project

About

Results-driven professional with expertise in data analysis, machinelearning, and visualization. Skilled in Python, SQL, Excel, and Power BI
for extracting insights and building predictive models. Passionate about solving business problems through data-driven decision-making.

Key

Skills

Power BI

Google Sheets

Python

SQL

Data Handling

Machine Learning

Deep Learning

NLP

Pandas

NumPy

My

Projects

Blinkit Sales Performance Analysis Dashboard

Domain/Function: Data Analytics | Business Intelligence | Retail Analytics

This project analyzes Blinkit’s sales data using Power BI to uncover insights on outlet performance, item categories, customer ratings, and sales trends. Interactive dashboards enable data-driven decisions for inventory and location strategy.

Real-Time Weather Forecasting Application using Python

Domain/Function: Data Analytics / Weather Forecasting / API Integration

A GUI-based weather forecasting application built using Python and Tkinter that fetches real-time weather data using OpenWeatherMap API. It displays temperature, humidity, wind speed, pressure, and local time for any city worldwide.

Awards

& Certificate

Python: Beginner to Advanced For Data Professionals

SQL for Data Science

Math and Statistics For AI, Data Science

Master Machine Learning for Data Science & AI: Beginner to Advanced

Deep Learning: Beginner to Advanced

Natural Language Processing

Gen AI to Agentic AI with Business Projects

AI Engineering & Data Science Bootcamp 4.0: With Practical Job Placement Support & Virtual Internship

Contact Me

Email

[email protected]

Github

https://github.com/adityayadav0931

https://www.linkedin.com/in/aditya0931/

Call

+91 7703092007

Aditya Kumar Yadav

Data Analyst | Data Scientist

Download Resume

Resume

Blinkit Sales Performance Analysis Dashboard

Domain/Function: Data Analytics | Business Intelligence | Retail Analytics

View Project
Engagement

View Project
on GitHUB

Overview dashboard displaying key KPIs such as total sales, average sales, number of items, average rating, and outlet establishment trends with interactive filters.

Detailed analysis showing sales distribution by item type, outlet size, outlet location, fat content, and outlet type performance with comparative visualizations.

Project Details

The Blinkit Sales Performance Analysis Dashboard is a Power BI project designed to evaluate and visualize retail sales data across multiple dimensions such as outlet type, outlet size, location tiers, item categories, and fat content.

The dashboard highlights key KPIs including total sales, average sales, number of items sold, and average customer ratings. Interactive slicers allow users to filter data by outlet location, outlet size, and item type for deeper analysis.

Year-wise sales trends help identify growth patterns, while category-level analysis reveals top-performing products like fruits, snacks, and household items. Outlet-based insights show that Tier-3 locations and medium-sized outlets contribute the highest revenue.

This project demonstrates skills in data cleaning, data modeling, DAX calculations, and dashboard storytelling, helping businesses optimize inventory planning, outlet strategy, and overall performance.

Python Project

Real-Time Weather Forecasting Application using Python

Domain/Function: Data Analytics / Weather Forecasting / API Integration

View Project
on GitHUB

Other Tools

Tkinter

OpenWeatherMap API

Geopy

TimezoneFinder

Requests

Pytz

Main interface displaying weather details including temperature, humidity, and wind speed.

City search functionality with real-time weather data fetched from API.

Project Details

This project is a real-time weather forecasting application developed using Python. It uses Tkinter to create a user-friendly graphical interface where users can enter a city name to fetch live weather data.

The application integrates OpenWeatherMap API to retrieve weather details such as temperature, humidity, pressure, wind speed, and weather conditions. It also uses Geopy and TimezoneFinder libraries to determine the city's location and display accurate local time.

The project demonstrates API integration, GUI development, and real-time data handling, making it a practical example of Python-based data applications.

Hello, I am

Aditya Kumar Yadav

1

About

Key

My

Blinkit Sales Performance Analysis Dashboard

Real-Time Weather Forecasting Application using Python

Awards

Contact Me

Email

Github

Linkedin

Call

Aditya Kumar Yadav

Download Resume