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Data Analyst with less than a year in Data Science & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Business-focused Data Analyst (B.Tech - Data Science, CGPA 8.01) with hands-on experience building end-to-end analytics solutions across fintech, retail, and telecom domains. Proficient in Python, SQL (PostgreSQL), Power BI, and Tableau with demonstrated ability to design production-style ETL pipelines, develop interactive BI dashboards, and translate complex datasets into actionable stakeholder insights. Seeking a full-time analyst role to contribute to data infrastructure and business intelligence.
MLRITM, Hyderabad
B.Tech · Computer Science Engineering (Data Science)
August 1, 2021 – June 30, 2025
Bank Loan Risk & Approval Analysis
September 1, 2025 – Present
Cleaned and validated 5,000+ loan records using Python (Pandas); applied hypothesis testing and probability scoring to identify risk patterns across credit score, employment, and income segments. Designed a Power BI risk dashboard surfacing approval rate disparities by segment — presenting a 23.02% approval rate across $23.27M loan volume to simulated stakeholders.
View ProjectCustomer Shopping Behavior Analytics
September 1, 2025 – Present
Analyzed 3,900+ transactions to uncover purchasing trends; classified customers into New, Returning, and Loyal segments using feature engineering with Pandas and NumPy. Wrote advanced SQL (CTEs, window functions, subqueries) to evaluate discount impact; built a Power BI dashboard with 20+ visualizations revealing $59.76 average order value across segments.
View ProjectSQL Data Warehouse & ETL Pipeline
September 1, 2025 – Present
Architected a production-style Bronze-Silver-Gold ETL pipeline with PostgreSQL star schema, automating transformation for 50K+ records and improving data quality by 30% through structured null treatment and validation layers. Designed dimension and fact tables aligned to reporting requirements, enabling scalable, audit-ready business reporting across multiple analytical use cases.
View ProjectTelecom Customer Churn Analysis
September 1, 2025 – Present
Analyzed 10,000+ customer records across billing, usage, and support; identified contract type and support frequency as strongest churn predictors, uncovering a 49.19% overall churn rate. Built a Power BI dashboard monitoring $59M+ revenue, operator performance, and satisfaction (5.50/10), enabling targeted retention recommendations for high-risk segments.
View ProjectData Analytics Job Simulation
Deloitte Australia / Forage
March 1, 2026 – Present
IBM Python for Data Science
IBM
March 1, 2026 – Present
Data Analytics & Visualization Job Simulation
Accenture / Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning attitude and a strong interest in data analytics across diverse domains. The use of GitHub for projects suggests an understanding of version control and collaborative practices. The certifications from IBM, Accenture, and Deloitte indicate a drive for continuous learning and alignment with industry best practices. However, as all projects are personal and there is no professional experience, the ability to integrate into a corporate culture and work within established team dynamics is an area for further assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable insights and present findings to simulated stakeholders, suggesting good communication and presentation skills. The focus on end-to-end solutions implies a structured and problem-solving approach. However, without direct work experience, operational fit regarding collaboration in a professional team setting and handling real-world project complexities is yet to be fully validated.