About Me
I'm a Data Science Lead at Gildan, where I build and lead teams creating intelligent systems that help businesses make better decisions - from forecasting supply chain demand to automating finance and analytics.
What started as an engineering curiosity about how complex systems work has grown into a career focused on turning messy, real-world data into tools people can actually rely on. Over the years, I've worked across telecom, agriculture, and manufacturing, using everything from machine learning and optimization to geospatial data and modern AI.
Today, I focus on building enterprise-scale data and decision systems that bring clarity and efficiency to complex business operations, helping organizations make faster, smarter decisions.
M.Sc. Information Technology
University of DhakaBangladesh Session: January 2017 - October 2018
B.Sc. Electrical & Electronic Engineering
Khulna University of Engineering & TechnologyBangladesh Session: April 2010 - November 2014
Experience
Lead, Data Science
GILDAN One of the world's leading publicly traded apparel manufacturers (NYSE: GIL).
Development & Technical Execution
- Intelligent Production Planning: Developing an Enhanced Planning Tool for sewing to optimize line capacity. It predicts completion times and recommends lines to minimize changeover downtime, significantly boosting line efficiency.
- GenAI Decision Support: Led the creation of a Supply Chain AI Agent using Snowflake Cortex that allows leadership to query complex data in plain English, accelerating strategic decision-making.
- Operational Support AI: Built a RAG chatbot in Microsoft Copilot Studio to assist dyeing operators with standard procedures, ensuring instant access to the dyehouse knowledgebase for faster troubleshooting and compliance.
- Competitor Intelligence: Developed an AI agent (using Microsoft Copilot Studio) that analyze competitor financial data to deliver automated market insights for simpler strategic positioning.
Leadership & Project Management
- Strategic Team Leadership: Orchestrating a high-performing cross-functional team (Data Scientists & BI Analysts) to architect and deploy Data Science & AI solutions that align with core business objectives and drive operational excellence.
- Data Science Governance: Established comprehensive governance frameworks and best practices for the department, standardizing coding protocols, documentation, and deliverables to ensure operational scalability and maintainability.
- Innovation Management: Championed the development of the "Invoice AI Agent", overseeing the project lifecycle from conception to delivery, which slashed manual finance workloads by approximately 60%.
- Mentorship & Operations: Mentoring Data Scientists & BI Analysts and streamlining team workflows, ensuring high-quality deliverables and fostering a culture of continuous technical growth.
Data Scientist
GILDAN One of the world's leading publicly traded apparel manufacturers (NYSE: GIL).
Development & Technical Execution
- Inventory Forecast & Optimization: Built advanced hierarchical forecasting models to predict spare parts tracking, directly preventing overstocking and ensuring plant operational continuity.
- Predictive Modeling (Fabric Dyeing): Developed Machine Learning models to predict fabric dyeing failures, allowing teams to intervene early and reduce costly material waste.
- Data Integration: Engineered ETL pipelines to ingest customer data from multiple sources (Delta Share, API) into Snowflake, creating a single source of truth for accurate cross-functional reporting.
- Generative Analytics: Developed a conversational agent (using PandasAI & Azure OpenAI) that leverages prompt chaining to generate SQL and Python code, enabling users to analyze complex tabular data via natural language.
- Real-time Analytics: Streamlined IoT data pipelines from spinning machines to provide live visibility of production performance in Snowflake, enabling immediate corrective actions.
Leadership & Project Management
- Project Ownership: Spearheaded the end-to-end delivery of an Azure OpenAI Analytics Chatbot, successfully democratizing advanced analytics for non-technical stakeholders across the organization.
- Stakeholder Management: Served as one of the major technical liaison between Data Science and Business units, translating complex requirements into actionable technical roadmaps to ensure project success and user adoption.
Data Analyst
International Maize and Wheat Improvement Center (CIMMYT) Non-profit international research organization for maize and wheat science.
Development & Technical Execution
- Media Intelligence: Designed automated NLP-based tools to scan online news, providing early warning signals for crop disease outbreaks across the region.
- Logistics Optimization: Developed a Logistics Optimization tool using Guided Local Search algorithm to optimize agricultural transport networks, achieving significant time and fuel cost savings.
- Satellite Data Analytics: Processed large-scale satellite imagery (Sentinel-2) and climate data to model crop health, supporting climate-resilient agriculture planning.
- Visualizations: Built interactive Streamlit dashboards to transform complex survey data into clear insights, empowering researchers to make data-driven decisions.
Leadership & Project Management
- Cross-Functional Synergy: Orchestrated collaboration between remote data scientists, field agronomists, and regional analysts, creating a cohesive ecosystem for integrating diverse climate and field datasets.
- Program Management: Supported and coordinated data strategy for the multi-country TAFSSA initiative, designing standardized protocols that unified agricultural data handling across South Asia.
Engineer
EDOTCO Bangladesh Co. Ltd Telecommunications Infrastructure Services Company in Asia.
Development & Technical Execution
- Process Automation: Automating repetitive data reporting tasks using software bots, freeing up team time for higher-value work.
- Performance Monitoring: Built tools to monitor power usage across telecom towers, helping to identify inefficiencies and reduce energy costs.
Leadership & Project Management
- Operational Leadership: Managed and upskilled a team of network engineers, establishing robust workflows for 24/7 network monitoring.
Projects & Research
Sewing Line Enhanced Planning Tool
Capacity optimization tool that predicts completion times and recommends optimal lines.
Inventory Forecast & Optimization
Hierarchical forecasting models to predict spare parts tracking, preventing overstocking.
Competitor Intelligence Agent
Automated market insights agent analyzing competitor financial reports and market data.
Supply Chain AI Chatbot
Snowflake Cortex-powered chatbot for advanced analytics on supply chain datasets.
Predictive Modeling (Fabric Dyeing)
Machine Learning models to predict fabric dyeing failures, reducing costly material waste.
Generative Analytics Agent
Conversational agent generating SQL & Python code to analyze complex tabular data.
Dyeing Procedure Assistant
RAG chatbot providing instant troubleshooting support and procedure access for dyeing operators.
Crop Disease Epidemiology Tool
Web data-mining and NLP tool for tracking crop diseases.
Agri-Transport Optimization
Logistic tool for optimization of transport networks in the agriculture domain.
Historical BMD Data Monitoring
Interactive tool for monitoring and analyzing historical meteorological data.
Field Boundary Detection [Personal Project]
Detect Field Boundaries using Holistically-Nested Edge Detection (HED) on airborne images.
n8n Generative AI Agent [Personal Project]
Conversational hybrid code generating agent (SQL & Python code) to analyze complex tabular data via natural language using n8n.
Chemical Property Prediction [Personal Project]
Physicochemical properties prediction with Hybrid-GICN.
Technical Skills
Programming Languages
Big Data & Computing
ML & Data Science
Data Processing
AI Agent Dev Tools
Databases & Data Warehouse
Geospatial
Visualization
Cloud Services
Dev & DevOps
Project Management
Productivity
Mentorship & Supervision
Scientific Programming with Python
Tailor-Made Training (TMT+) Programme BARI, Bangladesh | 2021Geospatial Data Analysis & ML
Spatiotemporal Machine Learning with Python BARI, Bangladesh | 2021Project Supervision
Geo-Information Science and Earth Observation ITC, University of Twente, Netherlands | 2022Certifications & Training
Spatial Regression in R
GEMS Learning CIMMYT & Univ. of Minnesota | 2023Geostatistics and Interpolation in R
GEMS Learning CIMMYT & Univ. of Minnesota | 2023Open Source Scientific Computing
AgroGeospatial Big Data Analysis ITC, University of Twente | 2022Deep Learning Specialization
DeepLearning.AI 2020Algorithms for DNA Sequencing
John Hopkins University 2020Food Security and Sustainability
Crop Production Wageningen University & Research | 2020Data Visualization with Seaborn
DataCamp 2019Data Science & Big Data Foundations
IBM 2017Selected Publications
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Advancing crop disease early warning in South Asia by complementing expert surveys with internet media scraping [Link]
Climate Resilience and Sustainability, 3, e78. (2024)
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The optimization of conservation agriculture practices requires attention to location-specific performance: evidence from large scale gridded simulations across south asia [Link]
Field Crops Research, Elsevier (2022)
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Climates' dual grip: Mapping upper and lower bounds for thermal stress risk for rice, wheat, and maize in Bangladesh [Link]
Technical Report (2023)
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Personality detection from text using convolutional neural network [Link]
ICASERT, IEEE (2019)
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Innovative new crowd sourcing tool for gathering crop disease reports developed in South Asia [Link]
ARRCC Programme Newsletter (2020)
Get In Touch
Feel free to reach out for collaborations or opportunities.