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Data Analyst with less than a year in SQL, Power BI, and Python with experience in end-to-end analyt
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Data Analyst skilled in SQL, Power BI, Python and Excel with hands-on experience in data extraction, transformation, analysis, dashboard development and KPI reporting. Built end-to-end analytics projects across retail, hospitality, sales and entertainment domains - writing advanced SQL queries and proficient in data cleaning, EDA, visualization and transforming complex datasets into actionable insights for data-driven decision-making.
Saranathan College of Engineering
B.E. · Civil Engineering
August 1, 2019 – June 30, 2023
Retail Sales Analytics Dashboard
July 1, 2025 – June 1, 2026
Built an end-to-end retail analytics using Power BI, SQL and Python - Designed structured retail datasets using SQL for data extraction, transformation and business performance analysis. Developed dashboards with DAX measures and KPI reporting to monitor Total Revenue (Rs.105.54M) and Return Rate (5.96%) and customer purchasing behavior. Automated EDA, feature engineering, and demand forecasting using Pandas, NumPy and Seaborn - surfacing operational inefficiencies and demand trends for data-driven stakeholder decisions.
View ProjectSQL Sales Performance Analysis
July 1, 2025 – June 1, 2026
Queried 10,000+ e-commerce records using advanced SQL (JOINS, CTES, Window Functions, Subqueries) to measure customer lifetime value, revenue concentration and store-level sales performance to identify top revenue drivers. Uncovered top 3 products driving 35% of total revenue and diagnosed dead-stock and zero-sales staff gaps, generating data-backed recommendations for inventory optimization and sales team performance improvement.
View ProjectHospitality Business Intelligence Dashboard
July 1, 2025 – June 1, 2026
Created 4-page Power BI dashboard on Rs.2B+ hospitality data using data modelling, Power Query and DAX KPIs (ADR: Rs.14,916 | RevPAR: Rs.7,347 | Occupancy: 57.87%). Quantified Rs.298M in cancellation-driven revenue leakage (24.8% rate) and recommended dynamic pricing and non-refundable deposit policies to recover losses.
View ProjectExcel Restaurant Sales Dashboard
July 1, 2025 – June 1, 2026
Developed interactive Excel dashboard using Pivot Tables, Power Query and KPI cards to analyze restaurant revenue performance. Applied 80/20 revenue analysis identifying menu items driving 30%+ of total sales and pinpointed weekend lunch-hour peaks, enabling data-driven staffing and promotional planning recommendations.
View ProjectPython Movie Data Analysis
July 1, 2025 – June 1, 2026
Analyzed 5,000+ IMDB records using Python, Pandas, Matplotlib and Seaborn - executed full data cleaning, EDA, correlation heatmaps and decade-wise genre trend analysis. Established audience vote count as a strong predictor of gross box-office revenue through regression analysis, generating insights relevant to media analytics and content strategy.
View ProjectSQL (Advanced)
HackerRank
January 1, 2026 – Present
AI Fluency, AI Capabilities & Limitations
Anthropic Academy
January 1, 2026 – Present
Data Analytics Certification Program
WsCube Tech
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's portfolio demonstrates a proactive learning attitude through personal projects and certifications, which aligns well with a culture of continuous improvement. The variety of projects showcases an ability to work across different data domains, indicating flexibility. The focus on delivering actionable insights and recommendations suggests a business-oriented mindset, which is crucial for a Data Analyst role. The lack of professional experience means cultural fit is primarily inferred from project work and self-driven learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on quantifying impact (e.g., 'Rs.105.54M', 'Rs.298M revenue leakage'). This suggests a strong operational fit for roles requiring data-driven decision support. The diversity of projects (retail, hospitality, movie data) implies adaptability and a broad interest in applying analytical skills to different business contexts. The detailed descriptions also suggest good communication skills in articulating technical work and business outcomes.