I am graduated with a BSc in Public Policy Information Systems, passionate about building data-driven solutions. I aim to apply my skills in Machine Learning, AI, and Data Science to solve real-world challenges in a Junior Data Scientist or AI Engineer role.
- 🔭 Improving my MLOps and model deployment skills.
- 🌱 Learning advanced transformers and NLP techniques.
- 💬 Reach me at [email protected]
ML & Data Science:
Programming, Databases & Tools:
Data Visualization:
- Utilizes YOLOv8 for real-time license plate detection.
- Processes video streams to identify and extract license plate information.
- Implements Optical Character Recognition (OCR) for character recognition.
- Detects parking lot occupancy using computer vision techniques.
- Analyzes video feeds to monitor parking space availability.
- Provides real-time updates on parking space status.
- Analyzes customer behavior to detect fraudulent activities.
- Implements machine learning models to predict and identify fraud.
- Utilizes data warehousing techniques for efficient data management.
- Extracts insights from PDFs using Google Gemini & LangChain.
- Employs FAISS vector database for fast retrieval.
- Deployed as a Streamlit web app for interactive use.
Twitter Sentiment Analysis (BERT)
- Fine-tuned BERT for tweet sentiment classification.
- Analyzes public opinion in real-time.
- Deployed via Streamlit for live predictions.
- Predicts housing prices using Linear Regression, Ridge, and Lasso.
- Applies feature engineering and advanced preprocessing techniques.
- Achieved a 92% R² score on the test dataset.
- 🎓 AI & Machine Learning Diploma – ML, DL, NLP, MLOps.
- 🏅 Machine Learning Specialization – DeepLearning.AI & Stanford Online (Andrew Ng).
- 📜 Kaggle Competitions – Titanic & House Prices prediction challenges.
Feel free to reach out for collaborations, mentorship, or AI/ML discussions.