I build data-driven projects using SQL, Python, Power BI, Excel, and Machine Learning to turn raw data into actionable insights and predictive solutions.
🎯 Currently seeking: Data Analyst | Business Analyst | ML / Data Science internships and entry-level roles
Data Analytics: SQL, Excel, Pandas, NumPy, EDA, Data Cleaning, Statistics
Visualization & BI: Power BI, DAX, Power Query, Data Visualization, Dashboard Design
Machine Learning: Scikit-learn, Regression, Classification, Feature Engineering, Model Evaluation
Programming: Python, SQL
Tools: Jupyter Notebook, Git, GitHub
End-to-end analytics project using SQL + Python + Power BI to analyze bookings, cancellations, revenue, vehicle performance, customer behavior, and ratings.
Interactive Power BI dashboard analyzing the data job market, including salaries, job titles, locations, remote work, and skill demand.
Classification project comparing multiple machine learning models to identify customers at risk of churn and support retention decisions.
Regression-based machine learning project covering data preprocessing, feature engineering, model comparison, and prediction.
SQL project using CTEs, window functions, ranking, aggregation, and time-series analysis to uncover patterns in company layoffs.
- Turning business questions into measurable KPIs
- Cleaning and transforming messy datasets
- Writing analytical SQL queries
- Building interactive Power BI dashboards
- Applying machine learning to practical business problems
- Communicating insights clearly through data storytelling
- Advanced SQL
- Power BI & DAX
- Machine Learning deployment
- Business case studies
- Data Analyst interview preparation
📧 Email: kaleem6386.com@gmail.com
🔗 LinkedIn: linkedin.com/in/kaleem02
💻 GitHub: github.com/Kaleemali02
I am actively looking for opportunities where I can use data analysis, visualization, SQL, Python, and machine learning to solve real business problems.
⭐ Feel free to explore my repositories and connect with me.