Hi there 👋, I'm Meherab Hossain Shafin!
I am an undergraduate Software Engineering student at Daffodil International University and a Junior Data and Research Associate Intern at Research and Management Consultants Ltd. (RMCL). My work focuses on building practical data systems, validated forecasting workflows, public health analytics pipelines, and full-stack applications.
I am especially interested in time-series forecasting, data engineering, reproducible analytical methods, and decision-support systems that connect research, software, and real-world implementation.
- I’m currently working on forecasting, data engineering, and full-stack systems.
- I’m currently learning advanced machine learning, scalable data pipelines, and production-ready web systems.
- I’m looking to collaborate on data science, forecasting, public health analytics, and open-source engineering projects.
- Ask me about time-series forecasting, Python, SQL, Next.js, PostgreSQL, and reproducible analytics.
- How to reach me: meherabhossainshafin@gmail.com
- Current focus: turning raw data into validated models and usable analytical systems.
A reproducible national dengue forecasting workflow using surveillance data, climate covariates, and walk-forward validation.
Repository: bangladesh-dengue-forecasting
A statistically validated multi-horizon electricity demand forecasting pipeline using ENTSO-E demand data and NASA POWER weather data.
Repository: Electricity Load Forecasting with Weather-Augmented ML
A PostgreSQL-based ETL and analytics pipeline processing 40M+ NYC yellow taxi records with optimized query performance.
Repository: nyc-taxi-data-engineering-postgresql
A deterministic auditing system for dataset quality, missingness, outliers, leakage signals, and modeling readiness.
Repository: Automated Dataset Reliability and Modeling Readiness Inspector
A PM2.5 forecasting workflow across Bangladeshi cities using automated API ingestion, SQLite storage, and time-series modeling.
Repository: Bangladesh-air-quality-forecasting
- Time-series forecasting and model validation
- Public health and environmental analytics
- Data engineering and ETL pipelines
- SQL optimization and database-backed systems
- Reproducible computational workflows
- Full-stack application development
- Decision-support tools and dashboards
Do climate covariates improve national-scale dengue forecasting beyond autoregressive and seasonal structure?
View: Research Square Preprint
Statistically Validated Multi-Horizon Electricity Load Forecasting with Weather-Augmented Machine Learning under Walk-Forward Evaluation
View: ResearchGate Output
- Inter Cantonment National Debate Competition — Runner-up, 2024
- AUST DC National Debate Competition — Runner-up, 2023
- Adamjee School Environmental Debate — Champion, 2018
- Campus Ambassador — Green Genesis Fest, 2026
- DIU Division of Research Poster Presentation — Certificate of Achievement
Visit my portfolio:
Building data systems that matter, models that forecast, and workflows that are reproducible.