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Data Analyst with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data collection, data cleaning, exploratory data analysis (EDA), statistical analysis, and business intelligence dashboard development. Proficient in Python, SQL, Power BI, and Microsoft Excel. Experienced in building machine learning models, generating actionable insights, and communicating data-driven findings to stakeholders. Strong foundation in data wrangling, data visualization, and KPI reporting to support data-driven decision-making.
PVG's College of Science and Commerce, Pune
Master of Computer Science · Computer Science
August 1, 2026 – Present
Imarticus Learning, Pune
PG Program in Data Science & Analytics · Data Science & Analytics
August 1, 2024 – June 30, 2025
PVG's College of Science and Commerce, Pune
Bachelor of Computer Science · Computer Science
August 1, 2021 – June 30, 2024
CGPI Software Pvt Ltd
Data Analyst Intern
March 1, 2025 – April 30, 2025
India
Retail Sales Data Analysis Dashboard
June 1, 2026 – Present
Designed an end-to-end Power BI dashboard to analyse retail sales performance across outlets, product categories, and geographic locations. Implemented DAX measures and calculated columns to compute KPIs including revenue, sales growth, and category-level performance metrics.
View ProjectBank Loan Report Analysis Dashboard
June 1, 2026 – Present
Analysed 38,000+ loan records to assess lending performance, portfolio risk, and borrower repayment trends. Developed SQL queries for KPI calculations including Total Loan Applications, Funded Amount, Amount Received, and Debt-to-Income (DTI) ratio. Built interactive Power BI dashboards with DAX measures to visualize loan portfolio quality and support risk management decisions.
Customer Churn Prediction
June 1, 2026 – Present
Performed data preprocessing and exploratory data analysis (EDA) on customer dataset to identify key churn drivers and behavioral patterns. Resolved class imbalance using SMOTE; trained and compared Random Forest and XGBoost classification models to optimize predictive accuracy. Evaluated model performance using accuracy, precision-recall, confusion matrix, and F1-score; delivered findings as a structured analytical report.
Data Science Certification
Great Learning
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including retail sales, bank loan analysis, and customer churn prediction, shows a broad interest in applying data analysis across different domains. The combination of academic pursuits (Master's and PG Program) with practical projects and an internship indicates a proactive and continuous learning mindset. The listed soft skills align well with collaborative and analytical work cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Analyst role. Their experience in collaborating with cross-functional teams indicates good operational fit for team-based environments. The ability to communicate data-driven findings suggests a capacity for effective stakeholder interaction.