Name: Umang Sinha

Job Role: Data Analyst

Data Analyst in Training: Power BI • SQL • Excel • Python

Address: Delhi, India

Skills

Data Visualization 95%
SQL 80%
PYTHON 80%
Statistical Analysis 85%
Microsoft Excel 80%

About

About Me

Aspiring Data Analyst currently pursuing a B.Tech in Artificial Intelligence and Data Science. Experienced in using SQL, Excel, Power BI, and Python for data cleaning, analysis, and visualization. Have worked on real-world projects and internships across domains like ecommerce, sports analytics, and sustainability. Finalist and winner in multiple hackathons and business competitions. Passionate about solving problems through data and building insights that drive smart decisions.

  • Profile: Data Science & Analytics
  • Domain: Ecommerce, Marketing Analytics, Operations & Sustainability
  • Education: B.Tech – Artificial Intelligence and Data Science
  • Language: English, Hindi
  • BI & Analytics Tools: Microsoft Excel , Power BI, SQL & Python
  • Other Skills: Jupyter Notebook, Business Modeling, Data Cleaning, Canva & Video editing
  • Interest: Football, Data Storytelling, Traveling, Travel Photography

0 +   Projects completed

LinkedIn

Resume

Resume

Detail-oriented Data Analyst skilled in extracting, analyzing, and visualizing data to deliver actionable insights using SQL, Excel, Python, and Power BI. Experienced in optimizing processes, identifying trends, and enabling data-driven decisions through strong technical and business communication.

Experience


Ramy InfoTech Pvt. Ltd.

Data Visualization and Research Intern

Jul 2024 - Oct 2024

Ramy Infotech provides fast, cost-effective IT staffing. Uses data to optimize talent matching, forecast hiring needs, and improve client delivery efficiency.

  • Extracted, cleaned, and standardized raw Excel and CSV datasets using Power Query and SQL.
  • Designed and automated Power BI dashboards for internal research data using DAX formulas and slicers.
  • Created multiple SQL queries to segment data, filter records, and support internal reporting.
  • Delivered weekly analytical reports summarizing trends and anomalies to assist the data team.

CodSoft

Data Science Intern

Jul 2023 - Aug 2023

CodSoft is an IT services firm creating innovative tech solutions. Uses data to improve software performance, business impact, and intern project outcomes.

  • Conducted exploratory data analysis (EDA) using Python (Pandas, Seaborn) on consumer behavior datasets.
  • Created SQL queries to retrieve structured data from relational tables; analyzed KPIs like retention rate and engagement.
  • Applied business intelligence techniques to summarize findings and built Excel-based reports with pivot charts.



Education


2022-2026 (Expected)

Bachelor of Technology in Artificial Intelligence & Data Science

DR. AKHILESH DAS GUPTA INSTITUTE OF PROFESSIONAL STUDIES
(Affiliated by Guru Gobind Singh Indraprastha University)

Current CGPA: 8.01 (Out of 10)

2020-2021

All India Senior Secondary School Examination (12th)

Bal Bhavan Public School
(CBSE)

Aggregate Percentage: 89.8%.

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.

Nutrabay Product Analysis Project

About Built a Power BI dashboard to analyze Nutrabay’s e-commerce product data, uncovering insights on pricing, discounts, ratings, and brand performance using Python, SQL, and Excel.

MARS-Cosmetics Data-Analysis Project

Power BI dashboard project analyzing MARS Cosmetics' product, sales, and engagement data using Python, SQL, and Excel to deliver actionable business insights.

ICC CT2025 Data-Analysis Project

An interactive Power BI dashboard analyzing historical and 2025 ICC Champions Trophy data. It showcases team performances, player records, and tournament trends using Python, SQL, Excel, and Power BI for insightful sports analytics.


Paris Olympics2024 PowerBI Dashboard

An interactive Power BI dashboard visualizing key statistics and performance insights for the Paris Olympics 2024. The project highlights medal tallies, athlete performance, country comparisons, and event-wise analytics—offering an engaging, data-driven look into one of the world’s biggest sporting events.

Sign Language Detection using LSTM

A video-based Sign Language Detection system using LSTM networks and MediaPipe. It captures hand landmarks from video frames to recognize and classify sign gestures into letters or words, with real-time prediction capabilities and a Power BI dashboard for performance analysis.

0 Hours spent tweaking visuals, KPIs & DAX formulas
0 Tools mastered: Power BI, SQL, Excel, Python, Web Scraping
0 Rows of messy data turned into clean, insight-ready formats
0 Analyst who blends logic with storytelling

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Delhi, India

Contact Number

+91 - 8368870159

Email Address

umang.2003@gmail.com

Download Resume

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