I’m a data analyst who enjoys finding patterns in data and turning them into insights that support better decisions. I work with SQL, Excel, Python, and Power BI to clean, explore, and visualize data in clear and meaningful ways. I like solving problems, collaborating with others, and continuously learning new skills to grow as an analyst. Whether in a team or working independently, I stay focused on creating real impact through my work.
0 + Projects completed
Amit Sharma is a data analyst skilled in SQL, Python, and data visualization tools such as Power BI and Excel. He holds a Postgraduate Diploma in Big Data Analytics and has applied his skills through internships and projects, including analyzing 3M+ global debt records and building dashboards across 122 countries. He is seeking opportunities in data-driven organizations that value continuous learning and impactful problem-solving.
Red Dot Foundation is a non-profit organization committed to making public and private spaces safer and more accessible for everyone, especially women and girls. We work on gender equity, safety and justice.
Physics Wallah is India’s leading EdTech platform, delivering affordable education to 4.6 crore students across 98% of the country. PW’s mission is to make quality education accessible to all.
The Sparks Foundation empowers young minds by fostering creativity and collaboration to shape the future. Their mission is to inspire, teach innovation and promote integration among students to build a better society.
Grade: B
Grade: A+ for Project Work
Grade: First Class with Distinction
CGPA: 8.87
Below are the sample Data Analytics projects on SQL, Power BI, Python & ML.
This project analyzes Diwali 2023 and Sankranti 2024 promotional campaigns across 50 AtliQ Mart supermarkets, offering actionable insights to optimize future strategies.
Dive deep into key metrics, track performance in real-time, and optimize your sales strategies with powerful analytics and intuitive dashboards. .
Telegram bot that uses deep learning and natural language processing techniques to detect and flag malicious activities in messages, in order to identify potential threats.
Analyzing hotel bookings and revenue for City Hotel and Resort Hotel (July 2015 - August 2017) to boost revenue and cut cancellations.
This project combines machine learning and natural language processing to predict stock prices. By integrating historical market data with sentiment analysis of news headlines.
Explore insights and predictions derived from 3 years of IPL data. Uncover top-performing players, teams, and predictive analytics for the 2024 season.
Below are the details to reach out to me!
Nagpur, India