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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
Aspiring Data Analyst skilled in Python, SQL, Power BI, and data visualization. Experienced in building analytical dashboards, performing EDA, and translating data into actionable business insights. Completed significant projects demonstrating proficiency in sales dashboard creation, e-commerce order fulfillment analysis, and restaurant data exploration. Possesses a strong foundation in data cleaning, analysis, and visualization for real-world business problems.
Chandigarh University
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
DAV Public School
Intermediate
June 1, 2021 – May 31, 2022
Carmel School
Matriculation
June 1, 2019 – May 31, 2020
AMAZON SALES DASHBOARD
January 1, 2022 – June 1, 2026
Built an interactive Power BI dashboard with 7 custom DAX measures (Revenue %, AOV, High-Value Orders) analyzing Amazon sales across time, category, and customer segments. Engineered customer-level segmentation (Low/Mid/High) using a CustomerSummary table; uncovered Electronics contributing nearly ~40% revenue and identified 2023 as peak performance year.
View ProjectZOMATO RESTAURANT EDA
January 1, 2022 – June 1, 2026
Performed EDA on 123,000+ rows across 900 restaurants in 13 Indian cities - handled missing values, feature engineering, and statistical analysis. Visualized multi-dimensional relationships (cuisine, ratings, votes, city) using Seaborn and Matplotlib to uncover actionable insights on restaurant performance and customer behavior.
View ProjectE-COMMERCE ORDER FULFILLMENT ANALYSIS
January 1, 2022 – June 1, 2026
Applied Advanced SQL techniques - Window Functions, CTEs, RANK(), and Partitioning - to analyze 51,290 transactions across a normalized 4-table relational database. Identified Fashion & Footwear as peak revenue drivers, credit cards accounting for 74% of transactions, and delivered data-driven recommendations on loyalty programs and shipping cost reduction.
View ProjectDatabase and SQL for Data Science with Python
Unknown
June 1, 2026 – Present
Basics of Data Analytics
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera Google
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with the Data Analyst role, covering key areas like sales analysis, e-commerce fulfillment, and restaurant performance. The diversity of projects (e-commerce, sales, food industry) shows a breadth of application for data analysis skills. Participation in an AI/ML workshop and an 'AI for Everyone Club' indicates an interest in continuous learning and engagement with emerging technologies, which could be a positive cultural fit for an innovative environment. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and project choices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate on academic and technical projects and practice dashboard creation, suggesting a foundational level of teamwork and practical application. The focus on delivering data-driven recommendations points to a results-oriented mindset. However, without specific assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.