🚀 Entry-Level Data Analyst | SQL · Power BI · Python | ML & AI Enthusiast
📊 Entry-Level Data Analyst with hands-on experience in data analysis, dashboard development, and machine learning projects.
- Worked on real-world datasets to extract insights and support business decision-making
- Built interactive dashboards (Power BI) to track KPIs and performance
- Applied SQL, Python, and ETL processes for data cleaning, transformation, and analysis
- Developed ML models for prediction and business use cases
🚀 Currently learning Advanced Machine Learning, AI, and Time-Series Forecasting
💡 Interested in:
- Data Analytics & Business Intelligence
- Machine Learning & Predictive Modeling
- Real-world Data-Driven Problem Solving
📩 Open to Entry-Level Data Analyst / Business Analyst / Junior ML Roles
SQL • Power BI • Excel • Data Cleaning • EDA • Data Visualization
Python • Pandas • NumPy
Scikit-learn • Regression • Classification • Predictive Modeling
Tableau • Git • ETL Pipelines
Finance • Healthcare • EV Market • Business Intelligence
🔗 https://github.com/MdAjams/Loan-Eligibility
✅ Built ML model to predict loan approvals
✅ Tech: Python, Pandas, Scikit-learn
✅ Impact: Automated risk assessment for financial decision-making
🔗 https://github.com/MdAjams/Lung-Cancer-Prediction
✅ ML model for early-stage detection
✅ Tech: Python, ML, Data Visualization
✅ Domain: Healthcare Analytics
🔗 https://github.com/MdAjams/EV-Market-India
✅ Performed EDA on EV adoption trends
✅ Built interactive Power BI dashboard
✅ Domain: Automobile & Clean Tech
🔗 https://github.com/MdAjams/forecasterX
✅ Time-series forecasting system
✅ Tech: Python, Statsmodels, ML
✅ Domain: Business Demand Forecasting
⭐️ Focused on building data-driven solutions and growing as a Data Analyst with ML & AI capabilities.