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Data Analyst with less than a year in Python, SQL, and Power BI for actionable business insights.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech CSE (AI & ML) 3rd Year student with a 9.27 CGPA and hands-on internship experience in Python, SQL (MySQL), and Power BI. Skilled in data cleaning, EDA, statistical analysis, and interactive dashboard development to deliver actionable business insights. Targeting Data Analyst and BI internship roles.
Brainware University
B.Tech · Computer Science Engineering (Artificial Intelligence & Machine Learning)
August 1, 2024 – June 30, 2028
ApexPlanet Software Pvt. Ltd.
Data Analytics Intern
February 1, 2026 – April 1, 2026
India
E-Commerce Data Analysis
June 1, 2026 – June 1, 2026
Independently architected a multi-stage analytics pipeline — schema mapping, multi-table joins, and feature derivation — on a publicly sourced Brazilian e-commerce dataset. Authored SQL queries across normalized tables to extract order, product, and seller data; applied Pandas for calculated fields and trend aggregation. Uncovered revenue concentration patterns, seller performance variance, and payment installment behavior through exploratory analysis. Built a Power BI report with drill-through pages and dynamic slicers for segment-level KPI exploration by category, region, and time period.
View ProjectCustomer Shopping Behavior Analysis
June 1, 2026 – June 1, 2026
Analyzed a retail transaction dataset to examine purchase behavior across customer demographics, product categories, and seasonal periods. Standardized raw records using MySQL and Pandas, resolving inconsistencies in category labels and date formats prior to analysis. Segmented customers by age group, gender, and purchase frequency to identify which groups drove the highest transaction volume per category. Visualized spending trends, basket size distribution, and category-level performance in Power BI to surface patterns relevant to retail decision-making.
View ProjectTata - Data Visualisation: Empowering Business with Effective Insights
Forage
June 1, 2026 – Present
Deloitte Australia - Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Analytics with Python - IIT Roorkee
IIT Roorkee (NPTEL)
June 1, 2026 – Present
BCG - Introduction to Data for Decision Makers
Forage
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and certifications show a proactive learning attitude and a strong interest in data analytics. The diversity of projects (e-commerce, customer behavior) and certifications from various organizations (Forage, IIT Roorkee, HackerRank) indicate a broad engagement with the field. The academic background in AI & Machine Learning further aligns with a data-driven culture. However, the candidate is still a student with limited professional experience, which might require mentorship and integration into a professional team culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through data quality resolution and analytical thinking in identifying patterns and trends. Their project descriptions indicate an ability to work independently and collaborate on initiatives. The focus on stakeholder-facing reporting suggests an understanding of business impact and communication of insights. However, without direct assessment, specific operational fit regarding teamwork, adaptability, and time management cannot be fully determined.