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Data Analyst with 1+ years 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
I am an aspiring Data Analyst focused on transforming raw data into meaningful business insights using Python, SQL, Excel, and Power BI. I work with real-world datasets to perform exploratory data analysis, KPI tracking, dashboard development, and business reporting. I aim to combine analytical thinking with technical skills to create impactful, data-driven solutions while continuously improving my problem-solving abilities.
Indore Institute of Science & Engineering
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Vidhya Sagar Academy
Class XII
June 1, 2022 – May 31, 2022
Vidhya Sagar Academy
Class X
June 1, 2020 – May 31, 2020
Mindcoders Centre
Data Analytics Training
January 1, 2025 – January 1, 2026
India
End-to-End Sales Analytics Dashboard
March 1, 2026 – June 1, 2026
Processed and analyzed 15,000+ sales records using Python and Excel. Built an interactive Power BI dashboard to track KPIs including revenue, sales, and profit trends. Automated reporting workflows to improve reporting efficiency and business insights generation.
SQL-Based Business Insights Analysis
December 1, 2025 – June 1, 2026
Analyzed business datasets using SQL joins, CTEs, aggregations, and window functions. Identified customer trends and optimized query execution performance. Created analytical reports to support data-driven business decisions.
View ProjectCustomer Segmentation using Machine Learning
September 1, 2024 – June 1, 2026
Applied K-Means clustering on 10,000+ customer records for segmentation analysis. Performed exploratory data analysis using Pandas and Seaborn visualizations. Generated customer behavior insights for targeted marketing strategies and decision-making.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a passion for data analytics, aligning well with a data-driven culture. The diversity of projects (sales analytics, customer segmentation, SQL insights) shows a broad interest in different aspects of data analysis. The internship experience, though short, indicates an exposure to a professional work environment. The candidate's stated goal of continuously improving problem-solving abilities suggests a growth mindset, which is a positive cultural indicator. However, the candidate is still pursuing a Bachelor's degree, indicating a junior level of experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate raw data into business insights. The internship experience suggests an ability to work with real-world datasets and perform standard data analytics tasks. However, without psychometric or English test scores, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.