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Data Science with less than a year in Data Analysis & Business Intelligence
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Assessing your cultural and operational fit
Detail-oriented Computer Science graduate with hands-on experience in data collection, cleaning, analysis, and business intelligence reporting using large-scale real-world datasets. Proficient in SQL, Python, Excel, Power BI, and Tableau for extracting insights, identifying trends, building interactive dashboards, and generating reports that support data-driven business decisions. Experienced in performing exploratory data analysis, KPI tracking, and delivering actionable insights through analytical and visualization techniques.
Vidya Academy of Science and Technology (APJ Abdul Kalam Technological University)
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Codec Technologies Pvt. Ltd.
Data Science Intern
December 1, 2025 – February 1, 2026
India
Brazilian E-Commerce End-to-End Data Analysis using SQL & Power BI
January 1, 2025 – January 1, 2025
• Analyzed 100,000+ orders across 9 relational tables — wrote 78 SQL queries including window functions, CTEs, and subqueries to extract revenue, delivery, and customer behavior insights. • Built a 4-page interactive Power BI dashboard with DAX measures and KPI cards; identified São Paulo drives 38% of revenue, late delivery rate is 8.11%, and repeat customer rate is near zero.
View ProjectCredit Risk Prediction & Analysis System
January 1, 2025 – January 1, 2025
• Analyzed 2.26M loan records using chunk-based Python pipelines — performing EDA, data cleaning, and feature engineering across 151 columns to identify default risk patterns across borrower attributes. • Built a Power BI dashboard and Streamlit app to generate reports on default rates and risk segments; achieved ROC-AUC of 0.71 supporting data-driven lending decisions.
View ProjectTelecom Customer Churn Prediction & Business Analytics
January 1, 2025 – January 1, 2025
• Analyzed customer data to identify churn patterns across contract types, payment methods, and service categories — identifying key business drivers and delivering targeted retention recommendations. • Built a 2-page Power BI executive dashboard tracking churn rate and revenue at risk; deployed a live Streamlit app for real-time KPI monitoring by non-technical stakeholders.
View ProjectTata GenAI Powered Data Analytics Simulation
Tata via Forage
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM & Coursera
June 1, 2026 – Present
IBM Data Analyst Professional Certificate
IBM & Coursera
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte via Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, credit risk, and telecom churn, indicating adaptability and a broad interest in applying data science to various business problems. The certifications from IBM and Deloitte via Forage show a proactive approach to learning and professional development. The leadership roles in college activities suggest a collaborative spirit and engagement beyond academics. The target role of Data Science aligns well with the candidate's demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, attention to detail, and collaboration through project descriptions. The experience as a Data Science Intern involved presenting data-driven findings to cross-functional stakeholders, indicating good communication skills. The academic projects show an ability to work independently and deliver complete solutions. The leadership activities suggest an ability to manage and coordinate, which are valuable for team collaboration.