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Data Science with less than a year in Business Intelligence & Machine Learning
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Aspiring Data Analyst pursuing Master's in Data Science at Gujarat University, with hands-on experience in Business Intelligence, Dashboard Development and Data Visualization using Power BI, Python and R. Completed 2 internships delivering ETL workflows, DAX-based KPI dashboards and stakeholder reports. Skilled in Machine Learning, NLP, SQL and Statistical Analysis with 8 Coursera certifications and a strong project portfolio.
GUJARAT UNIVERSITY
Master · Data Science
August 1, 2025 – Present
GUJARAT UNIVERSITY
Bachelor · Data Science
August 1, 2022 – June 30, 2025
DIPVISION INFOTECH
Python Developer - Intern
August 1, 2025 – October 1, 2025
Delhi, Delhi, India
PRODIGY INFOTECH
Power BI Developer - Intern
June 1, 2024 – August 1, 2024
Ahmedabad, Gujarat, India
TESLA & GAMESTOP STOCK ANALYSIS AND VISUALIZATION
June 24, 2026 – Present
Extracted Tesla & GameStop historical stock data using yfinance, scraped quarterly revenue from Macrotrends via BeautifulSoup, and visualized price trends with Matplotlib, highlighting Tesla's 2020-2022 surge past $400 and GameStop's 2021 short-squeeze spike above $80 amid retail trading volatility.
View ProjectDIWALI SALES ANALYSIS
June 24, 2026 – Present
Performed end-to-end EDA on Diwali sales dataset using Python, Pandas, Matplotlib & Seaborn; cleaned data, handled null values, and converted data types, then analyzed customer demographics and product categories to identify married women aged 26-35 from Uttar Pradesh, Maharashtra & Karnataka as top buyers, primarily working in IT, Healthcare & Aviation sectors, with strongest demand in Food, Clothing & Electronics categories, supporting targeted seasonal marketing strategies.
View ProjectSUPER STORE SALES ANALYSIS
June 24, 2026 – Present
Conducted statistical analysis on a 5,900+ row Super Store sales dataset using R; imported and processed multiple CSV files with varying headers and separators, performed exploratory data analysis with bar plots, pie charts, histograms, frequency polygons and ogives for customer demographics and product categories, and applied probability distributions and confidence interval estimation methods. Built an interactive Power BI dashboard tracking $1.6M sales, 22K orders, $175.3K profit, category/region performance and a 15-day sales forecast.
View ProjectSAMSUNG SUPPLY CHAIN & LOGISTICS DASHBOARD
June 24, 2026 – Present
Built an end-to-end Power BI Supply Chain & Logistics dashboard for Samsung tracking $186M+ gross revenue, $48M+ profit, and 8K+ shipments across supplier, manufacturer, shipment, and customer stages; used DAX measures to analyze lead time by supplier, inventory value by product, carrier delay performance, and revenue by customer, improving order accuracy tracking (75%+ perfect order rate) for faster operational decisions.
View ProjectAMAZON SALES ANALYSIS
June 24, 2026 – Present
Built a Power BI dashboard analyzing 89,000+ Amazon product sales records, tracking $2M YTD sales and $811K QTD sales across monthly/weekly trends; created category-level breakdowns (Men's Shoes, Camera, Car Accessories) and top-5 product rankings by sales and 19M+ reviews to surface growth opportunities.
View ProjectHR ANALYSIS
June 24, 2026 – Present
Designed an interactive Power BI HR analytics dashboard analyzing 961 employees with department-level filtering, revealing a 13.84% attrition rate, average age of 37, and 6.9-year average tenure; built drill-through breakdowns by gender, education, age group, salary slab, and job role (e.g., 62 attritions among Laboratory Technicians) to identify key turnover drivers.
View ProjectANALYZING SENTIMENT PATTERN
June 24, 2026 – Present
Cleaned and analyzed 71,000+ labeled Twitter posts across 32 entities using Python and Pandas, removing 2,300+ duplicate records and handling missing values; built sentiment distribution visualizations (bar charts) and brand-specific breakdowns (pie charts) for entities like Microsoft and Nvidia to surface customer opinion trends across Positive, Negative, Neutral, and Irrelevant categories.
View ProjectWHAT IS DATASCIENCE
COURSERA
January 1, 2023 – Present
MACHINE LEARNING WITH PYTHON
COURSERA
January 1, 2023 – Present
DATA ANALYSIS WITH PYTHON
COURSERA
January 1, 2023 – Present
PYTHON FOR DATA SCIENCE & AI
COURSERA
January 1, 2023 – Present
DATA SCIENCE METHODOLOGY
COURSERA
January 1, 2023 – Present
DATABASES AND SQL WITH PYTHON
COURSERA
January 1, 2023 – Present
PYTHON PROJECT FOR DATA SCIENCE
COURSERA
January 1, 2023 – Present
TOOLS FOR DATA SCIENCE
COURSERA
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from HR analytics to supply chain, sentiment analysis, and sales analysis, indicates a broad interest in applying data science across various domains. The personal projects and certifications suggest a self-driven individual keen on continuous learning and skill development, which aligns well with a growth-oriented culture. The target role of Data Science is well-aligned with their educational background and project experience.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and analytical thinking skills through their project work, where they identify key insights (e.g., attrition drivers, top buyers). Their ability to deliver interactive dashboards and reports suggests an understanding of stakeholder needs and operational impact. The internship experience indicates a capacity to work within a professional environment, albeit in an intern capacity.