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Data Analyst with 2+ years in Data Analysis, Power BI & Python
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Assessing your cultural and operational fit
Results-driven Data Analyst and Engineering Graduate with expertise in Data Analysis, Business Intelligence, Predictive Analytics, and Statistical Analysis. Proficient in SQL, Python, Excel, Power BI, Tableau with hands-on experience in ETL, Data Cleaning, Data Warehousing, Data Visualization, and Exploratory Data Analysis (EDA). Strong knowledge of Machine Learning (ML) fundamentals, Predictive Modeling and Reporting Automation with a proven record of transforming raw data into actionable insights for data-driven decision-making.
Ujjain Engineering College
Bachelor of Technology · Mechanical Engineering
August 1, 2020 – June 30, 2024
Coding Ninjas
Internship
January 1, 2025 – Present
India
Ralson Tyres Limited
Graduate Engineer Trainee
June 1, 2024 – January 1, 2025
India
Adstory Digital Pvt. Ltd
Data Intern
March 1, 2023 – July 1, 2023
India
Bharat Petroleum Corporation Ltd. (BPCL)
Trainee
July 1, 2022 – August 1, 2022
India
Indo-German Tool Room, Indore
Trainee
June 1, 2022 – July 1, 2022
India
Retail Analytics using SQL
June 1, 2026 – Present
Designed SQL Queries to clean, transform, and analyze Retail Data for Sales Insights and Customer Behavior Analysis. Implemented joins, subqueries, and aggregations to improve data quality and provide actionable insights for business growth.
E-commerce Sales Dashboard (SQL Project)
June 1, 2026 – Present
Designed and implemented SQL Queries to extract, clean, and join large E-commerce datasets for analysis. Created a sales performance dashboard using SQL-based aggregations to track Revenue, Orders, and Customer Engagement, and generated KPI-driven reports for business decision-making.
EV Market Insights
June 1, 2026 – Present
Created Power BI Visuals to analyze Electric Vehicle Adoption Trends and Market Growth. Used time-series analysis, clustering, and visualization techniques to uncover patterns in adoption behavior.
Coffee Café Sales Analysis
June 1, 2026 – Present
Developed an Excel Dashboard for Profitability Analysis by tracking Daily/Weekly KPIs. Applied pivot tables, advanced formulas, and conditional formatting to highlight revenue streams and optimize pricing strategies.
MySQL Data Cleaning & EDA
June 1, 2026 – Present
Processed Large Datasets in MySQL, removing duplicates, handling missing values, and identifying meaningful patterns. Automated data preprocessing steps for faster analytics workflows.
US Healthcare Case Study
June 1, 2026 – Present
Evaluated Patient & Hospital Data to uncover Cost Drivers and Performance Trends. Applied statistical methods, exploratory data analysis (EDA), and visualization to support healthcare efficiency improvements.
Drone Design & Fabrication
June 1, 2026 – Present
Built an Autonomous Drone with Camera Integration and Wireless Monitoring. Designed drone frame using AutoCAD, implemented embedded systems, and tested in real-world conditions for aerial data capture.
Certification of Excellence
Coding Ninjas
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from retail analytics to EV market insights and healthcare case studies, indicates a broad interest in applying data analysis across different domains. Their active participation in competitive programming (Coding Ninjas) suggests a drive for continuous learning and improvement, which aligns well with a growth-oriented culture. While their formal education is in Mechanical Engineering, their dedicated pursuit of data analysis skills through internships and personal projects demonstrates strong initiative and a clear career transition, indicating a good fit for roles that value self-starters and cross-disciplinary skills.
Soft Skills & Operational Fit
The candidate demonstrates a strong problem-solving aptitude and a results-driven approach, as highlighted by their achievements in competitive programming and project descriptions. Their experience in managing workshop technology and inventory using SAP, although not directly data analysis, indicates an understanding of operational processes and data handling in a business context. The diverse project portfolio suggests adaptability and a willingness to tackle different types of data challenges. However, the communication clarity in some project descriptions could be more concise and impact-focused.