Data Analyst with 1+ years in Python & Power BI
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Assessing your cultural and operational fit
Final-year AI & Data Science student with hands-on experience in SQL, Python and Power BI, Excel across 6+ data projects, turning raw data into clear insights through cleaning, EDA, and dashboards.
Late G. N. Sapkal College of Engineering, Nashik
Bachelor of Engineering · AI & Data Science
August 1, 2023 – June 30, 2027
S. S. M. V. Junior College, Babhulgaon
Higher Secondary Certificate (HSC)
N/A – May 31, 2023
K. B. H. Highschool, Virgaon
Secondary School Certificate (SSC)
N/A – May 31, 2021
Uttirna Services LLP
Data Analytics Intern
January 1, 2024 – January 1, 2025
Nashik, Maharashtra, India
Luxury Retail Fraud Analysis
June 1, 2023 – June 1, 2026
Analyzed retail transaction data to detect fraud patterns using Python, SQL, and Power BI. Performed data cleaning, preprocessing, and EDA using Pandas and NumPy. Wrote SQL queries to analyze fraud trends, payment methods, and store performance. Built an interactive Power BI dashboard with KPIs, fraud trends, and location-wise tracking.
View ProjectGDP Data Analysis & Visualization
June 1, 2023 – June 1, 2026
Analyzed a global GDP dataset (1960-2016) across 250+ countries to extract economic insights. GDP growth (%) feature and performed India vs. China comparative analysis. Built interactive Plotly visualizations and automated country-wise GDP
View ProjectCoffee Shop Sales
June 1, 2023 – June 1, 2026
Analyzed 140,000+ transactions across 3 locations using MySQL to find revenue trends and top products. Used SQL window functions and CTEs to track month-over-month growth and rank products by location. Built an interactive Excel dashboard using pivot tables, KPI cards, and slicers.
View ProjectCultural Fit Analysis
The candidate's academic projects cover diverse domains like retail fraud, global economics, and sales, showing a breadth of interest in applying data analysis to different business contexts. The target role of Data Analyst aligns well with the candidate's stated skills and project experience. The internship further reinforces this alignment. The candidate appears to be a good fit for a role that values continuous learning and practical application of data skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured analytical tasks. The academic nature of most projects suggests a learning-oriented approach. The internship provides some real-world exposure to operational workflows in data analysis, including reporting for management. However, the overall experience level is junior, and the ability to handle complex, ambiguous business problems independently is yet to be fully demonstrated.