Data Analyst with less than a year in Python, SQL & Power BI, specializing in data analytics project
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Results-driven Data Analyst with hands-on experience in Python, SQL, Microsoft Power BI, R, and Excel. Completed 4 end-to-end data analytics projects analyzing 26,000+ records across healthcare, retail, finance, and e-commerce domains. Proficient in data wrangling, exploratory data analysis (EDA), business intelligence reporting, dashboard development, statistical testing, and delivering data-driven insights to support business decision-making.
Mar Thoma College
BSc · Zoology
August 1, 2021 – June 30, 2024
G-Tec Computer Education
Advanced Diploma · Data Analytics & Data Visualization
N/A – June 30, 2026
Kerala State RUTRONIX
Diploma · Computer Applications
N/A – June 30, 2025
Retail Sales Analytics
January 1, 2024 – December 1, 2024
Analyzed 5,000 retail transactions across 5 regions and 9 categories (2024) Quantified 2.19M discount margin erosion; identified 8.7% seasonal revenue variance (December peak, April low) Built interactive Power BI dashboard with regional trend analysis; R statistical modeling
E-Commerce Multi-Platform Analytics
January 1, 2024 – December 1, 2024
Analyzed 10,000 orders across 3 platforms and 6 cities (2024) - largest project dataset in portfolio Built predictive regression model R2=0.885; proved platform parity via ANOVA (p=0.672); dataset revenue 302M Applied ANOVA, Chi-Square, t-test, Pearson Correlation, and Multiple Linear Regression
Healthcare Data Analytics
January 1, 2022 – December 1, 2024
Analyzed 5,000 patient admission records across 10 Indian states (Jan 2022 - Dec 2024) Identified potential annual readmission cost impact of 2.1M through analysis of preventable readmissions; Orthopedics top-revenue department at 10.1M Built Power BI Star Schema (5 tables, 8 DAX measures); advanced SQL with window functions and CTEs
Finance Stock Portfolio Analytics
January 1, 2022 – December 1, 2024
Analyzed 6,000 stock transactions across 16 tickers and 6 brokers (2022-2024) Tracked 896.11M total trade value across dataset with 87.25% execution rate; 44% seasonal trading variance Developed executive KPI dashboard with sector allocation analysis and broker commission comparison
GenAI Powered Data Analytics Job Simulation
Forage
May 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
May 1, 2026 – Present
Technology Job Simulation
Deloitte
May 1, 2026 – Present
AI Appreciate
Ministry of Education, Govt. of India | Intel | Digital India
January 1, 2026 – Present
AI Aware
Ministry of Education, Govt. of India | Intel | Digital India
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects span diverse domains (healthcare, retail, finance, e-commerce), indicating adaptability and a broad interest in applying data analytics across different industries. The pursuit of multiple certifications and diplomas, including job simulations from Deloitte and Forage, demonstrates a proactive learning attitude and a desire to align with industry best practices. The 'National Service Scheme' involvement also suggests a commitment to community and teamwork, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Data Storytelling', 'Communication', 'Attention to Detail', 'Critical Thinking', 'Report Writing', and 'Collaboration' as soft skills. These align well with the demands of a Data Analyst role, suggesting a good operational fit. The project descriptions also reflect an ability to translate complex data into actionable insights, which is crucial for effective communication within a team.