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Data Analyst with 2+ years in Data Analysis, SQL & Power BI, specializing in business insights.
Detail-oriented Data Analyst with hands-on experience collecting, analyzing, and interpreting complex datasets to drive business decisions. Proficient in SQL, Python (Pandas, NumPy), Excel (Advanced), and Power BI for building dashboards, KPI tracking, and cohort analysis. Demonstrated ability to identify trends, surface growth opportunities, and communicate data-backed recommendations to stakeholders. Experience collaborating with cross-functional teams at IBM to ensure data quality and accuracy across client projects. Freshers-friendly background with real project impact.
Mohan Babu University
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Emeralds Degree College
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
IBM
Data & Business Analyst Intern
January 1, 2024 – Present
India
Zerodha Business Analysis
January 1, 2026 – Present
Collected and analyzed real NSE/SEBI data; engineered a 600+ row, 22-column dataset from scratch — demonstrating ability to work with complex, real-world datasets and ensure data accuracy. Applied cohort analysis and funnel segmentation to identify a Rs.876 Crore revenue opportunity from 60 lakh dormant users — a direct example of identifying growth opportunities through data. Delivered a 6-page interactive Power BI dashboard with 10 actionable, data-backed recommendations presented to stakeholders — showcasing reporting, visualization, and communication skills.
View ProjectBank Customer Churn Analysis
January 1, 2026 – Present
Analyzed 10,000+ customer records to surface churn patterns and retention drivers through EDA and customer segmentation — interpreting complex datasets to identify business-critical trends. Built interactive Power BI dashboards translating raw data findings into clear visual stories, enabling stakeholders to make informed retention decisions.
View ProjectQuizPerfAI Student Performance Analytics
January 1, 2026 – Present
Designed an end-to-end data pipeline processing student behavioral features (response time, hint usage, attempt count) — demonstrating data collection, feature engineering, and analytical rigor. Applied SHAP-based interpretability to generate explainable performance insights; deployed as a Flask web app; accepted at IEEE International Conference — validating quality and depth of analysis.
View ProjectAWS Essentials
Unknown
June 1, 2026 – Present
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
IBM Internship Certificate
IBM
June 1, 2026 – Present
QuizPerfAI accepted at IEEE International Conference
IEEE International Conference
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including business analysis, churn analysis, and student performance analytics, shows a broad interest in applying data analysis to different domains. The publication at an IEEE International Conference and technical blog contributions indicate a proactive and continuous learning mindset. The IBM internship suggests an ability to work in a structured corporate environment. However, the experience level is relatively junior, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and data storytelling skills, which are crucial for a Data Analyst role. Their experience in cross-team collaboration at IBM and report presentation indicates good operational fit for communicating insights to stakeholders.