- 🎓 Pursuing a Master of Engineering Management in Analytics at North Carolina State University
- 💼 Business Analyst with experience in requirements gathering, process documentation, data analysis, UAT, and stakeholder collaboration
- 📊 Interested in business analytics, predictive modeling, supply chain, operations, and AI-enabled decision support
- 🤖 Building projects that connect data analysis with practical business problems
- 🛠️ Working with Python, SQL, Power BI, PySpark, SAS, GAMS, Tableau, Jira, and Excel
- 🌱 Currently expanding my skills in machine learning, big-data analytics, and AI-powered business applications
Analyzed more than 500,000 e-commerce transactions to predict customer churn, compare classification models, identify behavioral customer segments, and evaluate retention campaign decisions.
Skills: PySpark · Spark SQL · Logistic Regression · Decision Trees · Random Forest · Gradient Boosting · K-Means
Developed an interactive Power BI dashboard examining semiconductor stock performance during the AI era using stock returns, volatility, trading activity, benchmark comparisons, normalized performance, and a custom AI Impact Score.
Skills: Power BI · Power Query · DAX · Financial Analytics · Benchmarking · Data Visualization
Completed an end-to-end analysis of daily bike rental demand using exploratory visualization, statistical inference, ANOVA, correlation analysis, and multivariable regression.
Skills: SAS · Regression · ANOVA · Statistical Analysis · Demand Analytics · Data Visualization
Created an interactive Power BI dashboard analyzing salaries, technical skills, employers, job types, and hiring trends across data-related roles.
Skills: Power BI · Power Query · DAX · Data Modeling · Business Intelligence · Dashboard Design
Analyzed U.S. roller coaster data to examine how track length, height, drop, design type, and other characteristics relate to coaster speed and performance.
Skills: SAS · Exploratory Data Analysis · Correlation Analysis · Statistical Comparison · Data Visualization
Developed a GAMS optimization model for a multi-plant supply chain covering production, inventory, transportation, supplier capacity, service levels, and carbon-emission constraints.
Skills: GAMS · Linear Programming · Supply Chain Analytics · Operations Research · Decision Modeling
- Predictive analytics for business decisions
- Big-data processing with PySpark
- AI agents for business analysis
- Customer intelligence and segmentation
- Supply chain and operations analytics
- Technical project management
- LinkedIn: linkedin.com/in/poonamkunwar
- Email: pnm.kunwar148@gmail.com
- GitHub: github.com/pKunwar148
Turning data into practical business decisions.
