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Data Analyst with less than a year in Data Analytics with a focus on statistical analysis and busine
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Aspiring Data Analyst pursuing a BCA in Data Analytics at St. Joseph's University, Bangalore. Proficient in Python, SQL, Power BI (DAX, Power Query), R Studio, and Excel. Conducted academic research analyzing 10,000+ Airbnb listings using statistical methods to quantify the impact of sports events on short-term rental demand in New York City. Demonstrated ability to handle end-to-end data projects from raw data cleaning and transformation to visualization and business insight generation.
St. Joseph's University, Bangalore
Bachelor of Computer Application – Data Analytics (BCADA) · Data Analytics
August 1, 2023 – Present
Kendriya Vidyalaya
Secondary & Senior Secondary Education
June 1, 2011 – May 31, 2023
Impact of Major Sports Events on Airbnb Bookings
January 1, 2026 – Present
Merged two real-world datasets — NYC Airbnb listings (Inside Airbnb) and MLB/MLS game data (Kaggle) segmenting 10,000+ listings across Bronx and Queens by event proximity (before, during, after). Applied data cleaning, temporal aggregation, and independent T-tests to measure statistically significant changes in reviews_per_month and availability_365 around event dates. Found a sharp and sustained rise in Bronx reviews from mid-2018 onwards, with a noticeable post-event engagement decline in Queens indicating locality-specific demand behavior. Delivered actionable insights: Airbnb hosts can optimize pricing and availability windows around MLB game schedules; event organizers can use review trends to gauge local economic impact.
Ozzy Osbourne Career Analysis Dashboard
January 1, 2026 – Present
Built a 4-page interactive Power BI dashboard analyzing 137 tracks across 12 albums (1981–2022) using Spotify audio features. Engineered DAX measures and Power Query transformations to enable era-based comparisons (Early, Peak, Later) across Energy, Danceability, Valence, and Tempo. Discovered that energy peaked in the Early Era (1981–1988) while danceability rose 40%+ in the Later Era demonstrating trend analysis skills applicable to any time-series business dataset. Key finding: 67.88% of tracks in Major key despite the artist's dark image – an insight that challenges assumptions using data.
US Superstore Sales Analysis Dashboard
January 1, 2026 – Present
Designed a 5-page business intelligence dashboard analyzing 9,994 orders across US regions, product categories, customer segments, and shipping modes. Built KPI cards, regional maps, and drill-down visuals to surface that the West region leads in sales ($0.73M) and profit ($108K), and Technology drives the highest revenue category. Identified that Standard Class shipping accounts for 57% of profit and Consumer segment is the top revenue driver – insights directly applicable to supply chain and marketing decisions.
IBM HR Employee Attrition Analysis
January 1, 2026 – Present
Performed end-to-end EDA on 1,470 employee records across 35 features using Pandas and Seaborn to identify key drivers of employee attrition. Identified Sales Representatives and the Sales department as highest attrition groups; found overtime workers earn significantly less on average and leave at higher rates. Uncovered that Monthly Income, Job Level, and Total Working Years are strongly correlated – seniority drives pay – while Job Satisfaction showed no strong correlation with attrition. Key insight: Attrition is driven by a combination of low pay + mandatory overtime + long commute, concentrated in Sales roles – findings presented through 17 annotated visualizations.
HackerRank SQL (Intermediate)
HackerRank
June 1, 2026 – Present
Data Science and Analytics
St. Joseph's University
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good diversity of topics (HR, music, sales, urban economics), indicating broad interests and adaptability. The academic projects, particularly the 'Impact of Major Sports Events on Airbnb Bookings', demonstrate an ability to conduct structured research and apply statistical methods. The ongoing Bachelor's degree and certifications suggest a commitment to continuous learning and professional development, aligning well with a growth-oriented culture. The target role of Data Analyst aligns perfectly with the candidate's skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills, attention to detail, and strong communication through project descriptions. The academic and personal projects indicate a proactive and self-driven approach to learning and applying data analysis techniques. The ability to work with diverse datasets and extract meaningful insights suggests a good operational fit for a data analyst role.