Professional experience

Data science leadership with proof across pricing, retail, and applied ML systems.

The experience page now frames industry work as a delivery record: leadership scope, operational ownership, machine-learning systems, and project evidence.

View delivery evidence Open CV page

Operating model

Built data science teams and translated analytics into pricing, catalog, and profitability decisions.

Owned ML systems for forecasting, segmentation, recommendation, fraud, and operational control.

Moved between leadership, hands-on modeling, stakeholder delivery, and remote cross-border execution.

Connected professional delivery back to the project portfolio so each claim has visible evidence.

7+years in AI and data

4major professional chapters

14linked delivery artifacts

7capability groups

Career chapters

A timeline shaped around ownership and outcomes.

Each chapter now separates role, scope, delivery actions, competencies, and linked projects so visitors can scan the career story without losing evidence.

January 2024 - Present; expected completion December 2027

Research Architect / Doctor of Engineering Candidate in Artificial Intelligence

SIT-NVIDIA Joint AI Center, Singapore Institute of Technology

Singapore

Conducting applied AI research in multimodal retrieval, cross-modal information retrieval, RAG systems, and evaluation-driven AI.

Doctoral Research:: Developing tri-modal healthcare retrieval systems spanning text, medical images, and structured tables.
Applied RAG:: Improving RAG ClassAid with the SIT Teaching and Learning Academy (STLA) to support teaching and learning workflows across SIT.
Evaluation:: Designing retrieval evaluation workflows that connect model design, data quality, benchmarking, and deployment readiness.
Research Translation:: Bringing production data science and business analytics experience into applied AI research workflows.

Multimodal RetrievalCross-modal Information RetrievalRAG SystemsEvaluationHealthcare AIApplied AI

Linked projects

RAG ClassAid with STLA Healthcare Retrieval Tri-Modal Survey

October 2020 - April 2025

Data Scientist | Head of Pricing, Catalog & Profitability

Chaldal Limited

Dhaka, Bangladesh (Remote from Singapore Jan 2024 - Apr 2025)

Led national pricing, catalog, and profitability analytics; built and scaled ML systems across demand, marketing, and risk.

Team Building:: Founded the Data Science function as a sole contributor and built the team from scratch.
Leadership:: Established the department structure, hiring and leading a high-performing team of data scientists and analysts.
Department Expansion:: Acquired leadership of the Pricing & Profitability department, integrating pricing strategy with data science.
Pricing Strategy:: Led national pricing strategy and catalog optimization to enable agile market response and sustained growth.
Profitability:: Launched profitability monitoring tools (dashboards + decision loops) balancing margin objectives with customer value.
Predictive Modeling:: Built demand forecasting and fraud detection models to improve inventory accuracy and reduce losses.
Remote Leadership:: Transitioned to cross-border remote leadership from Singapore while maintaining delivery outcomes.

Dynamic PricingForecastingRecsysFraud DetectionProfitabilityCatalog IntelligenceSupply Chain AI

Linked projects

Catalog Intelligence Dynamic Pricing Engine Profitability Control Product Enlistment Seasonality & Forecasting Discount & Bundling

February 2020 - August 2020

Data Scientist

ACI Logistics Limited (Shwapno)

Dhaka, Bangladesh

Delivered retail data science initiatives: forecasting, segmentation, basket analysis, recommendation, and campaign performance.

Retail Analytics:: Led retail analytics for the largest supermarket chain in Bangladesh.
Forecasting & Segmentation:: Delivered demand forecasting, RFM segmentation, and basket analysis.
Personalization:: Built recommendation and customer behavior models to improve engagement and sales.
Strategic Analytics:: Developed campaign performance and branch profitability analytics.
Crisis Response:: Supported pandemic/Ramadan planning via product prioritization and profitability analytics.
Targeting:: Enabled telesales targeting using customer segmentation during lockdown periods.

Retail AnalyticsDemand ForecastingCustomer SegmentationBasket AnalysisCampaign Analytics

Linked projects

Campaign Analysis Perishable Forecasting Pandemic Supply Chain Customer Segmentation

August 2018 - January 2020

Junior Data Scientist

Chips & Bytes

Khulna, Bangladesh

Built analytics solutions and deployed ML models; improved pipeline reliability and deployment readiness.

Client Solutions:: Delivered dashboards and analytics solutions for corporate clients.
Pipeline Engineering:: Improved ML pipeline robustness with better error handling and model reliability practices.
Deployment:: Deployed optimized ML models for automation and business intelligence use cases.

Machine LearningETL PipelinesData VisualizationModel DeploymentMLOps

Linked projects

ML Model Deployment QA

Capability evidence

Skills grouped by business value, not just tools.

The skills section now links each capability back to proof points in the portfolio.

Business Operation Skills

Gained through scaling Chaldal's core operations and managing Shwapno's retail analytics. I learned to align technical initiatives with diverse operational needs, from supply chain logistics to customer service efficiency.

Profitability Control Tower Pandemic Supply Chain Discount & Bundling Strategy

Leadership Skills

Developed by founding the Data Science function at Chaldal and growing it into a high-performing team. I progressed from a sole contributor to leading the Pricing & Profitability department, managing cross-functional teams and remote operations from Singapore.

Chaldal Data Science Team Building Strategic Analytics for Executive Director

Project Management Skills

Honed by delivering end-to-end data products, from initial scoping to deployment and maintenance. I managed timelines for critical launches like dynamic pricing engines and festival forecasting, ensuring stakeholder alignment.

Dynamic Pricing Engine Launch Catalog Intelligence System

Marketing Skills

Acquired through deep collaboration with marketing teams to optimize spend and target the right customers. I built systems for segmentation, coupon optimization, and campaign performance tracking.

Campaign Success Factors Segmentation for Tele-Sales Discount Optimization

Profitability Directing Skills

Mastered by taking ownership of the P&L impact for pricing and catalog decisions. I built dashboards and decision loops to balance competitive growth with sustainable margins.

Profitability Control Tower Product Onboarding Viability

Tech Skills

Sharpened through hands-on development of scalable ML systems. I transitioned from building ad-hoc models to engineering robust pipelines for real-time pricing and large-scale recommendation systems.

ML Deployment QA Catalog Taxonomy Intelligence

Modelling Skills

Refined by applying diverse techniques—from time-series forecasting to NLP and clustering—to solve specific business problems. I focused on selecting the right model for the context, balancing complexity with interpretability.

Perishable Demand Forecasting Customer Segmentation & RFM