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Building data systems,models that .
Undergraduate Software Engineering student at Daffodil International University and Junior Data and Research Associate Intern at Research and Management Consultants Ltd. (RMCL), working on time-series forecasting, data engineering, public health analytics, and full-stack systems through reproducible applied projects.
Meherab Hossain Shafin
PythonSQLNext.jsForecastingPublic Health Analytics
0+Deployed Web PlatformsRMCL Procurement Portal, RMCL website, LTC website
0M+Records Processed via ETLNYC taxi analytics pipeline
0.00sOptimized Query LatencyReduced from about 1.2s
0+Applied Forecasting ProjectsDengue, energy, air quality, and more
CapabilitiesApplied
Applied
capabilities.
Concrete systems built through forecasting, data engineering, full-stack delivery, and validated analytical workflows.
01
Forecasting & Statistical Modeling
Built forecasting workflows using SARIMA, Random Forest, Gradient Boosting, DeepAR, and benchmark models under rolling-origin and walk-forward validation.
0+applied forecasting projects
Workflow
Explore.Validate.Deploy.
From raw data to reliable models and usable systems.
Technical stackBuilt for
Built for
reproducibility.
From raw data ingestion to validated models and production-ready software workflows.
Large-scale analytical pipelines
ETL, indexing, and SQL analytics for high-volume datasets — detailed in the flagship NYC taxi project.
Stack emphasis: Python analytics, SQL stores, Next.js delivery, and walk-forward validation workflows.
View systems overview →active
Python Analyticsmodeling & pipelinesactive
SQL DatabasesPostgreSQL, SQLite, MySQLactive
Next.js Applicationsfull-stack deliveryactive
Validation Workflowswalk-forward evaluationMethodologyValidated workflows,
Validated workflows,
not vanity metrics.
Quantitative proof points live in the hero and flagship project cards. This section summarizes how work is evaluated and delivered.
- Walk-forward validation
- Rolling-origin evaluation
- Reproducible pipelines
- Decision-support systems
ToolsTools I
Tools I
work with.
Grouped technical stack used across forecasting, data engineering, and deployed applications.
Programming & Databases
Python, SQL, JavaScript, PHP, PostgreSQL, SQLite, MySQL
Forecasting & Modeling
SARIMA, Random Forest, Gradient Boosting, DeepAR, regression, rolling-origin validation
Data Engineering
ETL pipelines, API ingestion, indexing, query optimization, reproducible workflows
Full-Stack Systems
Next.js, React, REST APIs, Prisma ORM, CMS workflows, authentication
Validation & Deployment
Walk-forward validation, leakage prevention, Git, GitHub Actions, Linux, deployment documentation
PrinciplesEngineering
Engineering
principles.
Reliable systems need more than code. They need validation, reproducibility, and defensive design.
Workflow standard
100%Reproducible workflow focus
SystemsCode and
Code and
systems.
Database-backed systems connecting ingestion, validation, modeling, and deployment in documented, reviewable workflows.
Forecasting Pipelines
Reusable workflows with walk-forward validation, benchmark models, and documented error analysis.
Database-backed Applications
Next.js systems with Prisma, PostgreSQL, authentication, CMS workflows, and API validation.
Data Quality Engines
Rule-based checks for schema integrity, missingness, duplicates, outliers, and leakage signals.
Deployment Documentation
Environment setup, build preparation, caching strategy notes, and server-side deployment planning.
ProjectsSelected
Selected
projects.
Applied projects with documented outputs across forecasting, data engineering, environmental analytics, and deployed web systems.
01Flagship Data Engineering Project
NYC Taxi Data Engineering
Engineered a PostgreSQL ETL and analytics pipeline for more than 40 million NYC yellow taxi records.
0M+records
0.00squery latency
Key output: Reduced time-filtered query latency from about 1.2 seconds to 0.05 seconds through schema design and indexing.
Data EngineeringPostgreSQLSQL Analytics
02
Bangladesh Dengue Forecasting
Built a reproducible 15-year national dengue forecasting workflow using surveillance data and lagged climate variables.
Key output: Compared naive persistence, autoregressive regression, SARIMA, and Random Forest under strict walk-forward validation.
ForecastingPublic HealthTime-Series
03Flagship Forecasting Project
Electricity Load Forecasting for Ireland
Developed a multi-horizon electricity demand forecasting pipeline using ENTSO-E hourly demand and NASA POWER weather data.
Key output: Benchmarked seasonal naive, SARIMAX, quantile gradient boosting, weather-augmented gradient boosting, and DeepAR across t+1, t+24, and t+168 horizons.
EnergyForecastingMachine Learning
04
Dataset Reliability Inspector
Built a deterministic dataset auditing system for schema integrity, missingness, duplicates, outliers, leakage signals, and modeling readiness.
Key output: Implemented transparent 0–100 readiness scoring using rule-based penalties instead of black-box scoring.
Data QualityValidationModeling Readiness
05
Bangladesh Air Quality Forecasting
Built a PM2.5 forecasting workflow across eight Bangladeshi cities using automated API ingestion and SQLite storage.
0cities modeled
Key output: Compared ARIMA and SARIMA models with rolling-origin validation to identify city-level forecasting behavior.
Environmental AnalyticsForecastingPublic Health
06Flagship Full-Stack Platform
RMCL Official Platform
Developed a secure full-stack organizational web platform using Next.js, PostgreSQL, Prisma ORM, CMS workflows, authentication, and caching.
0scache revalidation
Key output: Implemented API validation, session authentication, asset upload safeguards, ISR/database caching, and deployment documentation.
Next.jsFull-StackPostgreSQL
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Research
Research focus.
My research direction focuses on validated forecasting workflows, public health analytics, environmental data, and reproducible computational methods. Current outputs include preprint-style manuscripts and applied modeling pipelines.
Research interests
Time-Series ForecastingPublic Health ModelingEpidemiological AnalyticsEnvironmental AnalyticsData EngineeringReproducible Computational Methods
Outputs
- Status: Preprint manuscript
- Status: Preprint manuscript
Co-curricular
Co-curricular highlights.
Selected debating, ambassadorial, and academic recognition activities beyond technical project work.
Inter Cantonment National Debate Competition
Runner-up, 2024
Campus Ambassador
Green Genesis Fest, 2026
DIU Division of Research Poster Presentation
Certificate of Achievement for Electricity Load Forecasting Model
AUST DC National Debate Competition
Runner-up, 2023
Adamjee School Environmental Debate
Champion, 2018
Contact
Let's build analytical systems that matter.
Open to MSc research opportunities, data science collaborations, forecasting projects, internships, and full-stack development work.
- Email:meherabhossainshafin@gmail.com
- GitHub:github.com/MeherabHS
- LinkedIn:linkedin.com/in/meherab-hossain-3b3416403
- Facebook:facebook.com/mrcube.16
- Location:Dhaka, Bangladesh
Send an inquiry
Collaborations, research, internships, or project opportunities. Messages are delivered to meherabhossainshafin@gmail.com.