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Data Analyst with less than a year in Power BI, Python, and SQL.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong expertise in Power BI, Python, SQL, and Excel, experienced in transforming large structured datasets into actionable business insights through KPI dashboards, exploratory data analysis, and customer behavior analytics. Built interactive dashboards analyzing 50K+ retail transactions and telecom churn datasets to identify performance trends and retention opportunities. Skilled in data cleaning, visualization, statistical analysis, and business reporting to support data-driven decision-making.
Dr. V R K Women's college of Engineering & Technology
Bachelor of Technology · Artificial Intelligence & Data Science (AI&DS)
August 1, 2021 – June 30, 2025
Customer Churn Analytics
June 1, 2026 – Present
Analyzed telecom customer dataset to identify churn risk drivers and retention opportunities through segmentation and behavioral trend analysis. Built interactive Power BI dashboard tracking churn rate, tenure distribution, and customer service usage patterns. Identified high churn risk among month-to-month contract customers and high monthly charge segments. Performed exploratory data analysis using Python to uncover churn correlations across contract types and internet service categories. Generated business insights supporting customer retention strategy planning.
View ProjectCustomer Transaction Behavior Analysis
June 1, 2026 – Present
Analyzed structured banking dataset to identify transaction trends and customer behavior patterns. Wrote SQL queries using joins, aggregations, and filtering logic for reporting insights. Identified account usage trends across customer segments. Supported structured reporting workflows through dataset validation and cleaning.
Modeling-Imbalanced-Data-A-Sampling-Based-ML-Approach
June 1, 2026 – Present
Built an ML pipeline to handle highly imbalanced datasets using SMOTE and undersampling. Trained Logistic Regression and Decision Tree models and evaluated performance using AUC and F1-score. Achieved best results using Logistic Regression + SMOTE.
Retail Sales Performance Analysis
June 1, 2026 – Present
Analyzed 50,000+ sales records to identify revenue trends, top-performing products, and customer segments. Built interactive Power BI dashboards featuring 6+ KPIs including sales growth, profit margins, and regional performance. Delivered actionable insights that improved reporting efficiency by ~25% and supported strategic decision-making.
Monday Café Sales Analytics Dashboard
June 1, 2026 – Present
Performed analytics on 10,000+ transactional records for multi-location retail performance monitoring. Built interactive dashboards for week-over-week performance tracking. Designed KPI monitoring system for category-level performance insights. Executed ETL workflows using Power Query ensuring structured reporting datasets. Generated insights supporting operational decision-making.
DATA ANALYTICS CERTIFICATION
Nirmaan.Org.
June 1, 2026 – Present
DATA SCIENCE WITH GEN AI CERTIFICATION
Medha Edu Tech.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis across different domains (telecom, retail, banking), indicating adaptability. The pursuit of certifications in Data Science and Data Analytics shows a proactive learning attitude. However, all projects are academic or personal, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The breadth of skills aligns well with a Data Analyst role, but the lack of diverse team-based projects or professional exposure makes it hard to gauge collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable business insights, which is crucial for operational fit. The focus on reporting efficiency and strategic decision-making suggests a results-oriented approach. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, teamwork, or communication clarity in a professional setting.