Data with less than a year in Data Analytics & Business Intelligence.
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Data Science professional with 9 months of hands-on experience in data analytics, business intelligence, and data pipeline development. Proficient in Python, SQL, Power BI, and cloud platforms like Microsoft Fabric, AWS, and GCP. Demonstrated ability to perform exploratory data analysis, build interactive dashboards, and drive data-driven insights through various projects and internships.
International Centre of Excellence in Engineering and Management
Bachelor of Engineering · Electrical and Electronics
December 1, 2021 – August 1, 2025
The Sparks Foundation
Data Science & Business Analytics Intern
February 1, 2023 – March 1, 2023
India
AlmaBetter
Data Science Trainee
October 1, 2022 – April 1, 2023
India
Walmart Sales Dashboard
June 1, 2026 – Present
Built an interactive Power BI sales dashboard covering 4 years of Walmart performance totaling $725.46K in revenue, with year-over-year profit comparison from $140K (2012) to a peak of $251K (2014). Segmented category-level sales data in Power BI, identifying Phones as the highest-selling category at 35% of total sales and Binders as the most profitable at $16.10K profit. Tracked monthly revenue and profit trends, surfacing December as both the highest-selling and most profitable month with $13.26K profit.
End-to-End Retail Sales Analytics
June 1, 2026 – Present
Built an end-to-end Bronze, Silver, Gold data pipeline in Microsoft Fabric using Python (Pandas) and Spark, processing 9,000+ retail records and storing cleaned output as Delta tables in a Lakehouse. Engineered a star schema semantic model in Microsoft Fabric using DataFlow Gen2, and wrote 10+ SQL queries with CTEs, subqueries, and window functions via the SQL Analytics Endpoint for dimensional retail analysis. Deployed a Power BI dashboard with 10+ DAX KPIs covering profitability, shipping, and customer insights surfacing West as the top revenue region at $107K and Office Supplies as the highest loss category at 884 loss orders.
View ProjectGoogle Data Analytics Professional Certificate
Google (Coursera)
June 1, 2026 – Present
SQL 50 study plan
LeetCode
June 1, 2026 – Present
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft
June 1, 2026 – Present
Full Stack Data Science Certification
AlmaBetter
June 1, 2026 – Present
Problem-Solving Achievement
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and certifications show a strong focus on data analytics and data science, aligning well with a 'Data' target role. Their engagement with platforms like HackerRank and LeetCode, along with multiple certifications, indicates a proactive learning attitude. The diversity of tools and platforms (Microsoft Fabric, AWS, GCP, Power BI, Python, SQL) suggests adaptability and a broad interest in the data ecosystem. However, the experience is primarily internship-level and personal projects, which might require more structured team collaboration experience for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to analyze data, identify key insights, and present findings clearly. Their experience in evaluating peer submissions suggests an aptitude for critical thinking and providing constructive feedback. However, without direct assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.