Entry-Level Data Analyst | SQL | Python | BI
Turning messy data into clear business decisions.
I build dashboards, automate reporting, and use SQL, Python, BI, and machine learning to uncover spend patterns, KPI trends, performance signals, customer behavior, and operational risks.
Work Impact
Analytics experience with real stakeholders
STEM Program Manager and Computer Science
The Creative School, Bangalore | July 2022 - Present
- Designed dashboards to track student engagement, operational KPIs, and program effectiveness.
- Automated recurring reporting with Google Sheets, Apps Script, and Looker Studio.
- Translated stakeholder questions into analysis, reporting workflows, and decision-ready insights.
- Delivered SQL-based insights and analytics workshops to improve self-service reporting adoption.
Case Studies
Projects built for analyst hiring signals
SQL
GitHub
Commercial Card Spend and Engagement Analysis
Analyzed transaction-level credit card data to identify spend patterns, high-value customers, and engagement drop-offs.
- Built SQL frameworks using CTEs and window functions.
- Supported customer segmentation and growth opportunity analysis.
- Generated cross-sell, retention, and spend optimization insights.
Python EDA
GitHub
Sales EDA Project
Completed exploratory data analysis on sales data to uncover product performance, seasonal trends, and customer behavior patterns.
- Used Python, Pandas, Matplotlib, and Seaborn for analysis.
- Identified top-performing products and sales trends over time.
- Created visualizations and HTML/PDF reports for storytelling.
Power BI
GitHub
HR Analytics Dashboard
Built a Power BI dashboard for employee attendance, performance analytics, HR metrics, and management reporting.
- Converted masked attendance data into BI-ready reporting views.
- Tracked employee attendance, performance, and HR trends.
- Designed stakeholder-friendly visuals for HR decisions.
ML
GitHub
Car Insurance Fraud Detection
Built a machine learning model to detect fraudulent car insurance claims using labeled claim data.
- Used Logistic Regression, Random Forest, and XGBoost concepts.
- Achieved 95% accuracy according to project results.
- Identified key fraud indicators from claim and claimant data.
NLP
GitHub
Movie Reviews Sentiment Classifier
Built a classifier to predict positive or negative sentiment from IMDB movie reviews.
- Applied text preprocessing and feature extraction.
- Explored Naive Bayes, SVM, and neural network concepts.
- Created a practical sentiment-analysis workflow.
NLP
GitHub
Spam Mail Classification
Developed a classifier to identify spam emails from legitimate messages using email content features.
- Analyzed email characteristics for spam indicators.
- Built a binary classification workflow in Python.
- Demonstrated practical NLP for message filtering.
Dashboard
Data analyst skill map
SQL
CTEs, window functions, cohort analysis, trend analysis, segmentation, and business insight generation.
Open To Work
Data Analyst, Business Analyst, Junior Data Analyst
Based in India and open to remote roles. Strongest fit: SQL/Python analytics, dashboarding, KPI reporting, HR analytics, customer analytics, and operations analytics.