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Data with less than a year in SQL & Tableau
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Results-driven Data Analyst skilled in SQL, Python, and Tableau specializing in end-to-end analytics pipelines from raw data to interactive dashboards and KPI reporting across e-commerce and sales domains. Seeking a role where data-driven analysis drives measurable business outcomes.
Siddharth Institute of Engineering & Technology
B. Tech · Computer Science and Engineering
N/A – June 30, 2025
Future Interns
Data Science & Analytics Intern
April 1, 2026 – May 1, 2026
India
Pizza Sales & Demand Analysis
January 1, 2026 – December 31, 2026
Analyzed 48K+ pizza orders using advanced SQL (joins, CTES, aggregations) to identify top-selling SKUs, peak order hours, and weekly demand patterns - findings that directly supported a menu rationalization recommendation. Built a Tableau dashboard tracking 12-month AOV trends ($37.09–$39.28), revealing a summer dip and November peak that led to a targeted seasonal promotions strategy recommendation. Identified top 5 revenue-driving pizzas and bottom 5 by order volume, providing a concrete product mix optimization opportunity to reduce waste and increase margin.
View ProjectOlist E-Commerce SQL Analysis
January 1, 2026 – December 31, 2026
Conducted end-to-end analysis on 100K+ Olist orders using window functions, subqueries, and aggregations to measure delivery efficiency, customer retention, and seller performance - highlighting a 12% late delivery rate as a key satisfaction driver. Modelled revenue distribution across regions, identifying high-growth areas with below-average seller penetration a finding with direct implications for marketplace expansion strategy. Built a customer segmentation query using RFM-style logic to classify buyers by recency and frequency, enabling targeted re-engagement recommendations for lapsed high-value customers.
View ProjectE-Commerce Sales Performance Analysis
January 1, 2025 – December 31, 2025
Analyzed 5K+ transactions across revenue, profit, category, and regional KPIs in PostgreSQL - uncovering underperforming regions and enabling targeted inventory reallocation decisions. Built an interactive Tableau dashboard monitoring *438K+ in sales and profit trends, giving stakeholders a single view to track monthly performance and identify seasonal demand shifts. Performed drill-down analysis on customer purchasing behaviour, identifying top product categories responsible for the majority of total profit - insight used to guide promotional strategy.
View ProjectData Visualisation
Forage
January 1, 2026 – Present
Data Analytics
Deloitte - Forage
January 1, 2026 – Present
SQL (Intermediate & Basic)
HackerRank
January 1, 2026 – Present
Data Science Consultant
Rubixe
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven learning attitude, undertaking several personal projects to build a portfolio. The focus on practical, business-oriented data analysis aligns well with a results-driven culture. The breadth of tools and techniques used (SQL, Tableau, Python libraries) indicates a willingness to learn and adapt. However, the limited professional experience (one short internship) means there's less evidence of collaboration or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach, focusing on measurable business outcomes. The ability to identify key performance indicators and translate data into actionable insights suggests strong analytical thinking and problem-solving skills. The projects also highlight an understanding of business context in data analysis, which is crucial for operational fit in a data role.