Data Analyst with less than a year in SQL, Python & Power BI
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Data Analyst with hands-on experience in SQL, Python, Advance Excel, and Power BI for data cleaning, analysis, and dashboard development. Worked on sales, healthcare, and business datasets to perform exploratory data analysis (EDA), build visualizations, and generate reports. Familiar with data wrangling, KPI reporting, and database querying to support business decision-making.
ABESIT - Institute Of Technology
B - Tech · Computer Science and Engineering (Data Science)
November 1, 2021 – July 1, 2025
New Rainbow Public School
12th Grade
N/A – May 31, 2021
Anudip Foundation
Data Analyst Trainee Intern
July 8, 2024 – August 30, 2024
Noida, Uttar Pradesh, India
E-Commerce Sales Analysis
June 24, 2026 – Present
Connected to a MySQL relational database containing over 1000+ transactional records across Customer, Product, and Order Details tables using the MySQL Connector API and retrieved data via efficiently structured SQL queries. Extracted data using 15+ SQL queries and processed 1,000+ records using Pandas for data analysis, and reporting. Conducted EDA on 1,000+ sales records and developed 10+ visualizations to identify key sales trends, customer metrics, and revenue patterns. Identified top 5 products contributing to 35% of total sales and analyzed customer distribution across 10+ cities to support sales and marketing decisions.
View ProjectCar Sales Dash Board
June 24, 2026 – Present
Designed and implemented a Car Sales Dashboard in Power BI, integrating structured Excel dataset (20,000+ records) to deliver interactive visual analytics on sales performance. Created 10+ DAX measures for KPIs such as YoY growth, YTD sales, and revenue metrics. Optimized data model and relationships, improving dashboard performance by 25%. Identified top 5 selling car models, monthly sales trends, and high-revenue regions from 20,000+ records to support sales performance tracking, Business decision and reporting.
View ProjectAnalysed Health and Demographic Data to Identify Common Traits leading to Heart Disease
June 24, 2026 – Present
Analyzed 250,000+ health records using Python and Pandas to study heart disease traits and health indicators. Performed EDA and data preprocessing, including data type conversion and statistical analysis of health metrics such as BMI, Age, Mental Health, and Physical Health. Discovered high-risk health patterns by analyzing 250,000+ records, 20+ features, and 15+ visualizations and generated insights such as major heart disease risk factors such as high BP, cholesterol, BMI, and smoking and health trends.
View ProjectData Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Visualization
ANUDIP
June 1, 2026 – Present
Data Analytics Essentials
CISCO Networking Academy
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Developing Soft Skills and Personality
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards continuous learning and skill development, evidenced by multiple certifications in data analytics, SQL, and data visualization. The diversity of personal projects (car sales, e-commerce, health data) shows initiative and a broad interest in applying data analysis across different domains. This proactive approach aligns well with a culture that values self-starters and continuous improvement. The internship experience, though short, indicates an ability to work in a structured environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business requirements into analytical solutions and present findings effectively. The 'Developing Soft Skills and Personality' certification suggests an awareness and effort towards improving interpersonal and professional attributes, which are beneficial for team collaboration and client interaction in an operational setting.