SHREYASH SINGH

Data Analyst
Noida, IN.

About

A highly analytical and results-oriented Bachelor of Technology student with practical experience as a Data Analyst Intern. Proficient in SQL, Python (Pandas, NumPy), and Power BI, eager to apply strong data collection, statistical analysis, and visualization skills to uncover actionable insights and drive data-informed decision-making in a challenging data analysis role.

Work

StoreBud Technologies LLP
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Data Analyst Intern

Gurugram, Haryana, India

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Summary

As a Data Analyst Intern, I contributed to data integrity, analysis, and visualization efforts, providing actionable insights for business decision-making.

Highlights

Executed comprehensive data collection and cleaning, validating information from multiple sources using SQL and Python to ensure high data integrity and accuracy for analysis.

Performed advanced statistical analyses, including regression and trend analysis, with Excel and Python (Pandas, NumPy) to uncover critical patterns, correlations, and insights.

Designed and deployed interactive dashboards and reports using Power BI, visualizing key metrics and trends to deliver actionable insights for various business units.

Education

Jaypee Institute of Information Technology
Noida, Uttar Pradesh, India

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Bachelor of Technology

Electronics and Communication

Languages

English

Skills

Languages

SQL, Python (Numpy, Pandas, Matplotlib, Seaborn), C/C++.

Developer Tools

VSCode, MySQL, MSExcel, PowerBI.

Concepts

Data Analysis, Business Intelligence, Data Visualisation, OOPS, DBMS.

Projects

Sales Performance Analysis using Python

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Summary

Conducted multi-source sales dataset analysis using Python to generate insights on revenue, profit, and profitability for informed business decisions.

E-commerce Store Analysis

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Summary

Analyzed sales and revenue data to identify trends, optimize product performance, and enhance customer purchase behavior for an e-commerce store.

Carbon Emission Analyzer

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Summary

Developed a comprehensive system for collecting, managing, and visualizing large datasets related to carbon emissions to support reduction goals and regulatory compliance.