🔅Planning and developing projects.🔅Highly enthusiast to finish work.
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Résumé
Jobs
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Data Annotator
Innodata Inc
Nov 2025 - Current(8 months)
Data Analyst
Elevate Labs
Jun 2025 - Nov 2025(6 months)
Data Analyst and Web Development
QSpiders Software Testing Training Institute
Sep 2024 - Sep 2025(1 year 1 month)
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Data Analyst and Web Design
Skillchase PVT LTD
Sep 2024 - Feb 2025(6 months)
Applied web scraping techniques to extract and organize structured data from real-world websites.
Leveraged DAX, slicers, and advanced visual analytics in Power BI/Tableau to identify peak sales trends and support strategic business decisions.
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Data Analyst
Skillchase PVT LTD
Aug 2024 - Oct 2024(3 months)
Applied web scraping techniques to extract and organize structured data from real-world websites.
Leveraged DAX, slicers, and advanced visual analytics in Power BI/Tableau to identify peak sales trends and support strategic business decisions.
Web Developer
Unified Mentor Private Limited
Mar 2024 - Apr 2024(2 months)
•Assisted in developing a web application, improving workflow efficiency by 30%.
•Collaborated with a team of 5 developers to troubleshoot and resolve 95% of reported issues.
•Contributed to the frontend development of 4 key project modules, gaining hands-on technical experience.
Education
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Bachelor of Technology - BTech, Computer Science
Guru Gobind Singh Indraprastha University
Jan 2021 - Dec 2025(5 years)
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GN group of Institutes
GN group of Institutes
Jan 2021 - Dec 2025(5 years)
Projects (professional or personal)
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Pizza Sales Analysis
A deep-dish dive into pizza sales data to uncover tasty business insights using powerful SQL queries! From basic stats to advanced analytics, here's what this project served hot 💰 Total Revenue: Calculated the total revenue generated from all pizza sales 💎 Highest Priced Pizza: Identified the most expensive pizza on the menu 📏 Popular Size: Found the most commonly ordered pizza size 🏆 Top 5 Bestsellers: Listed the top 5 most ordered pizzas with their total quantities 🍽️ Category Demand: Joined tables to calculate total quantity sold per pizza category 🕒 Peak Times: Analyzed order distribution by hour of the day 📊 Category Spread: Discovered the category-wise distribution of all pizzas 📅 Daily Trends: Grouped orders by date and compu
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Capstone-Project-Retail-Business-Analysis
End-to-End Sales & Customer Analytics for a Retail Chain. Objective is to Build a data pipeline and analysis suite for a retail company to monitor sales performance, customer behavior, and product trends. Deliver a dashboard for business decisions.