Transforming data into actionable insights | MSc Computer Science @ Mahidol University
I'm a data enthusiast passionate about uncovering patterns and building intelligent systems. Currently pursuing my Master's in Computer Science with a focus on MLOps and drift detection, I love working on projects that bridge business strategy and technical implementation.
- 🎓 MSc in Computer Science (Expected Dec 2026) | BBA in International Business Management
- 📊 Google Data Analytics Certified with hands-on experience in Python, SQL, and BI tools
- 🏆 Hult Prize Campus Award recipient for impactful data storytelling
- 💼 Former Business Development Intern at Revolution Gaming, where I automated reporting and built KPI dashboards
- 🌱 Currently diving deep into MLOps, Computer Vision, and Big Data on Cloud
- 📍 Based in Bangkok, Thailand
Languages & Core: Python • SQL
Data Science & ML: NumPy • Pandas • Scikit-learn • TensorFlow • Keras • OpenCV
Analytics & Visualization: Tableau • Power BI • Excel • Matplotlib • Plotly
DevOps & Cloud: Git • GitHub Actions • Docker • GCP • Azure
Specializations:
- Data Cleaning & EDA
- Predictive Modeling & Forecasting
- Customer Segmentation & Clustering
- Recommender Systems
- A/B Testing & Statistical Analysis
- ETL Pipelines
Analyzed multi-stock trends to compare volatility, correlations, and risk/return patterns with clear visualizations
- Tech: Python, yfinance API, statistical analysis, correlation matrices
End-to-end analytics using RFM segmentation to identify high-value customer groups and targeting strategies
- Tech: Python, K-Means clustering, feature engineering, business insights
Content-based recommender generating "similar title" suggestions using text and metadata signals
- Tech: TF-IDF, cosine similarity, natural language processing
Comparative analysis of Apple Watch vs Fitbit data to surface behavioral trends and build predictive health models
- Tech: Feature engineering, classification/regression, model evaluation
Time-series forecasting using engineered technical indicators and deep learning architectures
- Tech: TensorFlow/Keras, LSTM networks, RMSE/MAE evaluation
Integrated real-time air quality and weather APIs to identify PM2.5 risk patterns in Bangkok
- Tech: API integration, statistical analysis, Plotly visualizations
- 🔬 Master's Thesis: Drift Shifting in MLOps
- 🌐 Writing tech blogs about data science and machine learning
- 📹 Creating vlogs about my learning journey
- 🌱 Exploring advanced cloud architectures on GCP and Azure
I'm always excited to collaborate on data science projects, discuss ML trends, or chat about tech!
⭐️ From NusratBegum | 🌏 Bangkok, Thailand | 💬 Let's build something amazing with data!