Data Analyst | Data Scientist | AI Automation | Python Practitioner
I build data-driven solutions that transform raw information into actionable insights. My work spans exploratory analytics, statistical modeling, and business intelligence, with strong emphasis on clean data pipelines and clear communication of results.
- Data Analysis & EDA: Python (Pandas, NumPy), Excel
- Visualization: Power BI, Matplotlib, Seaborn
- Statistical Methods: Hypothesis testing, non-parametric methods, experimental design
- Data Engineering Basics: Data cleaning, transformation, quality checks
- Machine Learning Foundations: Feature engineering, model evaluation, supervised learning
- SQL: Complex queries, joins, subqueries, aggregations
- Credit Card Fraud Detection: Trend analysis, correlations, and SAT score insights
- Heart Disease Prediction: Performance metrics and team analysis
- Ausine Crime Data Analysis: Pattern discovery and visualization storytelling
- Supermarket Sales Analytics: KPI modeling and BI dashboarding
- Traffic Flow Simulation (Python): Transportation data modeling and scenario analysis
- B.Tech in a Transport Management
- Strong foundation in statistics, modeling, and analytical frameworks
- Training and certifications in Python, SQL, and data analysis, Data Science (DataCamp)
Data science, predictive modeling, analytics engineering, business intelligence, and building reproducible data solutions.