Data Analyst with less than a year in SQL, Python, Excel, and 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
Detail-oriented Engineering graduate transitioning into Data Analytics with practical experience in SQL, Python, Excel, and Power BI. Strong background in data cleaning, dashboard creation, EDA, reporting, and transforming datasets into actionable business insights.
Priyadarshini College of Engineering, Nagpur
B.Tech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Retail Sales Channel & Customer Analysis
June 1, 2026 – Present
Analyzed 28.5K+ delivered orders and 1K returns to identify customer and fulfillment trends. Identified dominant channels (Myntra 35.45%, Flipkart 23.31%) and top-performing states for business planning.
Coffee Sales Data Analysis using SQL
June 1, 2026 – Present
Used JOINs and aggregate queries on 11-city sales data to extract revenue insights and customer behavior trends. Identified top products and loyal customers supporting retention strategies.
Sales Data Analysis using Python
June 1, 2026 – Present
Cleaned 10K+ records using Pandas, performed EDA, and built 10+ visualizations using Matplotlib/Seaborn.
Python for Data Science
NPTEL (IIT Madras)
June 1, 2026 – Present
Data Science Certification
Devtown
June 1, 2026 – Present
Fundamentals of Digital Marketing
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a clear interest in data analysis, aligning well with the target role. The diversity of tools used (Excel, SQL, Python) shows adaptability. However, all projects are personal, which limits insight into collaboration or experience within a professional team setting. The candidate is an engineering graduate transitioning into data analytics, indicating a strong drive for career change and learning.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work with data independently and derive insights. However, without psychometric or English test results, it is difficult to assess logical reasoning, work attitude, stress handling, or team collaboration skills. The projects are personal, limiting insight into operational fit within a team or corporate environment.