I’m a Data Science and Machine Learning Enthusiast with a passion for transforming complex data into actionable insights.
I bring diverse experience from industries:
⚙️ Heavy Equipment
💳 FMCG
🏭 Supply Chain
My work spans across domains where Data-Driven Insights, Engineering Precision, and Statistical Rigor intersect to solve real-world problems.
I am fueled by curiosity and a dedication to building end-to-end data architectures. I thrive on developing work that:
🤖 Transforms raw data into strategic intelligence, leveraging machine learning and advanced analytics to optimize everything from complex supply chain operations to nuanced customer segmentation models.
🛠️ Demands uncompromising precision, ensuring every analytical pipeline and predictive algorithm is rigorously fine-tuned to deliver tangible, high-impact business results.
📚 Fosters collaborative innovation, translating intricate technical workflows into clean, perfectly structured, and reproducible frameworks for the community.
Beyond my core projects, I am committed to continuous growth. You will frequently find me leveling up my expertise in ML, data analytics, and software engineering through online courses.
| Tools | Project Title | Status | Link |
|---|---|---|---|
  |
Airline Customer Segmentation: Customer segmentation on airline loyalty data using LRFMC model and K-Means clustering to identify 5 distinct groups based on customer transaction behavior and provide data-driven marketing strategy recommendations. | 🔵 | Notebook Repository |
 |
MobilenetV2 Butterfly Image Classification Androidapp Deployement: End-to-end image classification pipeline using pretrained mode from Keras-Tensorfloe to real-world mobile deployment. | 🔵 | Repository |
| Tools | Project Title | Status | Link |
|---|---|---|---|
|
IBM - Machine Learning: 6 graded projects from the IBM Machine Learning Professional Certificate on Coursera. | 🔵 | Repository |
Note:
- 🔵 Completed Projects
- 🔴 Ongoing Work