Available for opportunities

Syed Mohammad
Hamzah.

Aspiring Data Scientist

Passionate about turning raw data into strategic intelligence. With a solid foundation in Python, SQL, and EDA, I am currently advancing into Machine Learning and predictive modeling, having recently developed award-winning election analytics and interactive healthcare dashboards.

Syed Mohammad Hamzah

Skills & Technologies

🐍
Python
Core language for data analysis, scripting, and pipeline automation
🐼
Pandas & NumPy
Vectorized data manipulation, feature engineering, and cleaning
📊
Matplotlib & Seaborn
Publication-quality 300 DPI plots and statistical graphics
⚡
Streamlit & Plotly
Interactive multi-page dashboards and dynamic analytical UI
🗄️
SQL (MySQL)
Relational querying, joins, and aggregations
📈
Power BI
Business reporting, KPI dashboards, and data modeling
📐
Mathematics & Statistics
Linear algebra, probability, calculus, and hypothesis testing
🤖
Machine Learning
Active learning focus — scikit-learn, regression, classification, pipelines

Learning Journey

Having built a solid foundation in Python, data analysis, and relational databases, I am currently dedicating my primary focus to mastering Machine Learning algorithms, statistical modeling, and predictive workflows.

Featured Projects

Certifications

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Resume / CV

Latest Version

Syed Mohammad Hamzah — Resume

Explore my complete technical toolkit, data science internship experience, and academic background in a clean, recruiter-friendly format.

The Journey

I'm Syed Mohammad Hamzah, an aspiring data scientist and machine learning practitioner based in India, passionate about extracting actionable intelligence from complex, real-world data.

During my Data Science internship at Sipher Web Pvt. Ltd., I built an end-to-end analytical pipeline and interactive dashboard covering 20 years of Indian Lok Sabha elections, which was honored with the Best Project award.

As part of the AB Talks 60-Day Claude AI Challenge, I designed and deployed the Healthcare Efficiency Explorer, evaluating spending vs. life expectancy across ~193 nations using World Bank Open Data.

My current active focus is Machine Learning — mastering supervised and unsupervised learning algorithms, model evaluation metrics, and scikit-learn pipelines to build predictive models that solve genuine problems.

Python, Pandas, NumPy
Foundation Completed ✓
Data Visualization & Dashboards
Matplotlib, Seaborn, Streamlit, Power BI ✓
SQL (MySQL) & Database Queries
Completed ✓
Mathematics & Statistics for ML
Linear Algebra, Calculus, Stats ✓
Machine Learning (Active Focus)
scikit-learn, regression, classification, pipelines →
Deep Learning & MLOps
PyTorch / TensorFlow / Model Deployment — future

Get in Touch