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Data Analyst with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven and detail-oriented Data Analyst with strong expertise in Python and SQL, specializing in Data Cleaning, Exploratory Data Analysis (EDA), and Data Visualization to support Data-Driven Decision-Making. Experienced in developing Interactive Power BI Dashboards and performing Statistical Analysis on real-world datasets. Continuously upskilling in Advanced Analytics and AI-Driven Data Solutions.
DBATU, Lonere, Raigad
B.Tech · Mechanical Engineering
N/A – June 30, 2025
Greateway Software Pvt. Ltd
Data Analyst Intern
November 1, 2025 – Present
Pune, Maharashtra, India
Retail Sales & Inventory Insights Analysis using MySQL
June 1, 2026 – June 30, 2026
Analysed retail sales and inventory data using MySQL to generate actionable insights on revenue, product performance, and store efficiency. Designed and implemented a 3NF-normalized relational database with multiple interconnected tables to ensure data accuracy and consistency. Developed complex SQL queries using INNER JOIN, LEFT JOIN, subqueries, GROUP BY, HAVING, and aggregate functions to extract business insights. Identified top-selling products, high-revenue stores, and monthly sales trends to support data-driven decision-making. Analysed customer purchasing behaviour to identify repeat customers and high-value transactions. Performed inventory analysis to detect low-stock products, supporting replenishment planning and operational efficiency.
Adidas Sales & Profitability Analysis Dashboard
January 1, 2020 – December 31, 2022
Analyzed 9,000+ sales records (2020–2022) to evaluate revenue performance, profit trends, and regional sales distribution. Developed interactive Power BI dashboard to track KPIs including revenue, profit, units sold, and product category performance. Performed data cleaning and preprocessing by handling missing values, removing duplicates, and standardizing data formats using Python and Excel. Used SQL queries, joins, and aggregate functions to identify top-performing retailers, profitable regions, and best-selling product categories. Conducted monthly and seasonal trend analysis to identify peak sales periods and low-performing months for business optimization. Generated data-driven insights and business recommendations to improve inventory planning, retailer performance, and regional sales growth.
Deloitte Data Analyst Certificate
Forage
June 1, 2026 – Present
Python 101 for Data Science
IBM (Cognitive Class)
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Tata (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales and inventory analysis, aligns well with typical data analyst roles. The continuous upskilling in advanced analytics and AI-driven solutions, as mentioned in the professional summary and certifications, indicates a proactive learning attitude which is a positive cultural fit. The internship experience also shows a willingness to gain practical experience. However, the lack of completed psychometric tests limits a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate business requirements into data models and collaborate with cross-functional teams, indicating good operational fit. The focus on automating workflows suggests an efficiency-driven mindset. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.