Welcome!
This repository is a curated showcase of my journey through the IBM Data Science Professional Certificate, completed via Coursera in July 2022. The program gave me practical experience with data science tools, coding, machine learning, and hands-on projects.
These are the key courses aligned with my interests in machine learning, analytics, and Python-based development:
- 1. Machine Learning with Python
- 2. Applied Data Science Capstone
- 3. Data Analysis with Python
- 4. Databases and SQL for Data Science
- 5. Python for Data Science and AI
These courses further strengthened my foundational knowledge in data science, covering tools, methodologies, and core practices:
- 6. Data Visualization with Python
- 7. Python Project for Data Science
- 8. Data Science Methodology
- 9. Tools for Data Science
- 10. Data Science Orientation
π All certificate files are available in the
certificates/
folder.
- Python programming (control flow, functions, OOP)
- NumPy and Pandas for data manipulation and aggregation
- SQL for querying and joining relational data
- Data cleaning, transformation, and preprocessing
- Data visualization with Matplotlib and Seaborn
- Exploratory data analysis (EDA) and statistical summaries
- Supervised learning: linear/logistic regression, k-NN, decision trees, SVM
- Unsupervised learning: k-means and hierarchical clustering
- Ensemble methods: introduction to bagging and random forests
- Model evaluation: cross-validation, ROC-AUC, F1-score
- End-to-end project execution (EDA β modeling β evaluation)
This repository serves as a verified showcase of my hands-on learning through the IBM Data Science Professional Certificate. It highlights both foundational and applied skills across key areas like Python, SQL, machine learning, and real-world data analysis.
Itβs part of my ongoing effort to build a transparent, skills-based portfolio that demonstrates not just what Iβve learned β but how I apply it.
I'm MD Bahauddin, a Software Engineer at o9 Solutions, where I lead backend development for enterprise-scale planning solutions. With a strong foundation in software engineering and a growing focus on machine learning, I specialize in building intelligent, data-driven systems that enhance decision-making in complex supply chain environments.
- πΌ LinkedIn
Thanks for visiting!