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Data Analyst with less than a year in Power BI solutions and AI Data Science with 0.7 Years of exper
Data Analyst with a B.Tech in AI Data Science, specializing in end-to-end Power BI solutions driving business impact. Expert in high-fidelity dashboards for Aviation and Luxury Retail, using advanced DAX and star schema to track KPIs like Conversion Rates (7.55%) and On-Time Performance (56.70%). Skilled in integrating Machine Learning (XGBoost) and Conversational AI (LangChain) into data strategies. Proficient in turning complex data into insights with Python, SQL, and Advanced Excel.
A.P.J Abdul Kalam Technological University
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Luminar Technolab
Data Analytics Intern
October 1, 2025 – April 1, 2026
India
Luxury Fashion & Apparel Intelligence Dashboard
June 18, 2026 – Present
Built a Digital Conversion Funnel that tracked the journey from Product Views (2M) to Purchase, calculating a 7.55% conversion rate through multi-layer filtering. Developed a VIC (Very Important Client) Intelligence module using Customer Lifetime Value (CLTV) modeling to monitor an 89.33% repeat client rate.
View ProjectAviation Data Report
June 18, 2026 – Present
Designed a Star Schema architecture to analyze 2,000 flights, correlating Weather Impact Scores with operational disruptions to track a 56.70% OTP. Implemented a custom ribbon chart to track Airline Rank Shifts by month and utilized Geographic Point Maps to visualize traffic footprints across nine major Indian hubs.
View ProjectAcademic Data Modeling Relational Query Analysis
June 18, 2026 – Present
Built a relational database using optimized Joins and Primary/Foreign Key constraints to manage student-course relationships. Developed Aggregated Queries with GROUP BY to track departmental performance and enrollment trends.
View ProjectExploratory Data Analysis of Candy Market Trends and Consumer Preferences
June 18, 2026 – Present
Conducted multivariate analysis on candy attributes, using Seaborn heatmaps to identify that chocolate content yields a 60.92% win-rate compared to 42.27% for non-chocolate items. Applied outlier detection using box plots on price and sugar percentiles to isolate niche market competitors.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests across different domains (fashion, aviation, academic data, consumer trends), which suggests adaptability and a willingness to tackle varied challenges. The inclusion of soft skills in the resume also points to a team-oriented and problem-solving mindset, aligning well with a collaborative work culture. However, the experience is primarily academic and internship-level, which might require some ramp-up in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Mindset, Creative Thinking, Problem Solving, Team Collaboration, Adaptability, and Time Management. These are crucial for a Data Analyst role, suggesting a good operational fit for collaborative and dynamic environments. The project descriptions indicate an ability to work on diverse datasets and deliver business-oriented outcomes.