T. S. Turja / analytics Creative work

Tanmoy Saha Turja

I study how business intelligence and analytics change real operating decisions in supply chains and service-delivery networks. The question comes from six years turning field data into policy at the UN Migration Agency, an M.S. in Business Analytics with a 4.0 GPA, and five published articles.

Download CV (PDF) tsturja88@gmail.com (917) 909-9968 LinkedIn GitHub Google Scholar

New York, USA. Open to research and analytics roles, and to relocation.

6+years at IOM, the UN Migration Agency
5published articles, one sole-authored
50+datasets turned into dashboards
50+analytical reports authored
200+officials trained on data collection
20+survey instruments designed

Research interest

Business intelligence in supply chain and operations

How can descriptive, predictive, and prescriptive analytics be combined into decision-support frameworks that improve forecasting, inventory and capacity planning, distribution efficiency, and resilience to disruption?

A closely related question is what organizational conditions decide whether those frameworks actually change decisions: data quality at the point of collection, interoperability across siloed systems, governance and documentation standards, and the analytical capability of the people expected to use the output.

My published survey work on analytics and AI adoption has begun to address these barriers, and my coursework and professional practice are built on real transactional and operational data from commercial, public-sector, and humanitarian settings. I am drawn to empirical work whose value can be judged by whether the insight is adopted and produces a measurable performance outcome.

Career timeline

Four chapters, from engineering to analytics research

Each chapter built on the last. Bars are drawn to scale; select any bar or marker for details.

Chapter
Work
Education
Milestones
now
Development and humanitarian Advertising and media Degree Publication Sole-authored Certificate

Publications

Five articles, one sole-authored

2026

Advancing a Nationwide AI-Driven, HIPAA-Aligned Cyber-Clinical Business Intelligence System to Predict Disease Risks, Strengthen Healthcare Data Security, and Optimize IT and Operational Investments Across US Healthcare Organizations

Soumik, M. S., Mithila, T., Hossain, M. S., Ara, J., Sarkar, M., Haque, S., & Turja, T. S.

American Journal of Technology Advancement, 3(2), 5–20. Read the article

An AI-driven business intelligence framework for U.S. healthcare organizations that combines patient-level stochastic modeling, network-based population modeling, and machine learning to predict disease risk, with a multi-objective optimization model balancing predictive accuracy, cybersecurity robustness, and IT budget constraints. Evaluated on large-scale synthetic datasets calibrated to U.S. healthcare settings.

2025

Integrating Business Intelligence and Data Analytics to Optimize End-to-End Supply Chain Performance in U.S. Manufacturing and Logistics NetworksSole author

Turja, T. S.

Frontiers in Computer Science and Artificial Intelligence, 4(4), 62–70. Read the article

A framework for combining descriptive, predictive, and prescriptive analytics across demand forecasting, inventory, transportation planning, and resilience. Integrated BI capability is linked to better real-time visibility, lower operating cost, and faster disruption response; data silos, weak interoperability, and limited organizational readiness are the main barriers. This paper frames the questions I want to pursue next.

2025

AI in Business Analytics for Financial Risk Assessment: Survey Insights from the Banking and Insurance Industries

Akter, S., Turja, T. S., Hossain, A., Eshra, S. A., & Rasul, I.

International Journal of Business and Management Sciences, 5(03), 1–30. Read the article

Survey of 200 U.S. banking and insurance professionals, analyzed with chi-square, t-tests, ANOVA, regression, and Wilcoxon tests. Deeper AI integration is associated with better fraud detection and risk prediction, and formal governance with more proactive mitigation. My contribution: instrument design, statistical analysis, and interpretation of the governance and adoption findings.

2024

Exploring AI's Role in Business Analytics for Operational Efficiency: A Survey Across Manufacturing Sectors

Hossain, A., Rasul, I., Akter, S., Eshra, S. A., & Turja, T. S.

Journal of Business Insight and Innovation, 3(2), 1–17. Read the article

Survey of 300 U.S. manufacturing professionals. Process automation and supply chain optimization show the strongest links to operational efficiency, while implementation cost, skills shortages, and poor data quality remain the dominant barriers, especially for small and mid-sized manufacturers.

2013

Buoyancy Driven Natural Convection Flow in an Enclosure with Two Discrete Heating from Below

Zaman, F. S., Turja, T. S., & Molla, M. M.

Procedia Engineering, 56, 104–111. Elsevier, Scopus-indexed. View via DOI

Computational study of airflow and heat transfer in a cavity with two discrete heat sources, modeling electronic cooling. The numerical-modeling foundation of my later analytics work.

The complete record is on Google Scholar.

Projects

Research and applied analytics, filterable by tool

Python · BigQuery2026

Sales analytics and forecast diagnostics framework

End-to-end SKU-level analytics for a multi-SKU e-commerce portfolio, automating portfolio-health monitoring and forecast diagnostics to support demand planning.

Automated forecast diagnostics across the full SKU portfolio
Python2025

Flight delay driver analysis

Reproducible multiple linear regression using correlation analysis and engineered features to rank the leading drivers of delay in a national transportation network.

500,000+ U.S. flight records modeled
Python2025

NYC 311 air quality service resolution

Drivers of citizen dissatisfaction across complaint type, borough, and time period, with the feature set to support predictive modeling for public service improvement.

Borough, time, and complaint-type drivers identified
Tableau2025

Climate change insights dashboard and data story

Multi-view dashboard and narrative on emissions, temperature, sea level, deforestation, and renewables, with geospatial views that surface the most climate-vulnerable countries.

Interactive story with filters and map views
R2025

Lung cancer risk classification model

Logistic regression classifier predicting lung cancer risk from health and lifestyle variables, applied to clinical risk stratification and screening prioritization.

Risk scores for screening prioritization
PostgreSQL2025

Indian Premier League 2022 season analysis

Effect of toss decisions and venue on team performance, plus top performers across a full season, using advanced aggregations and window functions.

Full-season analysis in SQL
Fortran2012

Natural convection with discrete heat sources

Undergraduate thesis: a finite-difference solver for airflow and heat transfer in electronic cooling, showing how Rayleigh number shifts Nusselt numbers and streamlines.

Published in Procedia Engineering (2013)

Experience

2012 to present

American Red Cross

Sep 2026 – Present

Disaster Cycle Services, New York

Financial & Statistical Information Team Member

Client Housing & Survey Processing Support Specialist (Role 1):

  • Serve as Dwelling Survey Approver, reviewing Damage Assessment and Disaster Housing documentation for completeness and accuracy prior to approval.
  • Produce and distribute daily reporting products (fire sheets, dwelling surveys, and housing census), meeting contract reporting and audit requirements with NYC housing agencies.

Invoice Processing Specialist (Role 2):

  • Reconcile discrepancies across billing systems, the Disaster Data System, and RCC reservation data, maintaining housing data accuracy across case records.
  • Conduct initial review of hotel vendor invoices and apply internal controls to ensure compliance with disaster relief procedures.

International Organization for Migration (IOM)

Jan 2018 – May 2024

The United Nations Migration Agency, Bangladesh Country Office

Senior Project Assistant, Immigration and Border Governance Unit

Oct 2022 – May 2024
  • Led requirements gathering and data-needs analysis across 5+ government ministries, translating stakeholder input into structured technical specifications that guided on-time rollout of immigration and border governance data systems.
  • Managed budgeting, procurement, and deployment of document and identity verification systems across major international ports of entry, under strict data accuracy and compliance standards.
  • Analyzed cross-functional project and performance data, delivering executive-ready progress reporting to senior leadership and international stakeholders.
  • Reviewed technical documentation, including a 300-page Passport Examination Procedures manual (English and Bengali), ensuring terminological accuracy across bilingual stakeholder audiences.

Operations Assistant, Migration Data Analysis Division

Nov 2019 – Oct 2022
  • Architected 5 data analysis frameworks and built dashboards and visualizations from 50+ datasets in Power BI and Excel, enabling senior leadership and government officials to track migration trends across 8+ districts.
  • Designed 20+ survey instruments and 30+ digital data collection forms (Kobo Toolbox, Microsoft Forms) with embedded validation and quality-assurance constraints, improving field data quality and consistency.
  • Cleaned, validated, and analyzed large multi-source datasets to identify patterns in migration flows, service delivery, and stakeholder satisfaction, supporting evidence-based policy decisions.
  • Trained 200+ government officials and field staff on digital data collection systems and survey tools, reducing survey error rates across 10+ field sites.
  • Authored 50+ analytical reports, metrics documentation, and information products presenting findings to policymakers, donors, and senior UN leadership.
  • Monitored field operations across migration-prone districts, ensuring data integrity, monitoring and evaluation (M&E) compliance, and adherence to organizational reporting standards.

Communication Associate, Mission Support Unit

Jan 2018 – Nov 2019
  • Managed the IOM Bangladesh website and all digital media platforms, driving 30,000+ user engagements through data-informed content strategy and audience analysis.
  • Produced 200+ content pieces and organized 30+ national and international events for government, donor, and UN audiences.

ZANALA Bangladesh Ltd. and Positive Hub Ltd.

Jun 2012 – Dec 2017

Advertising and media production, Dhaka

Editor and Coordinator, Audio-Visual Departments

  • Led production and post-production of 160+ audio-visual projects across integrated marketing campaigns; the project "Bangladesh is Changing" received a Brand Forum Award.
  • Planned and executed 50+ commercial video projects, including television commercials, music videos, and online content, managing timelines and deliverables across multiple clients.

This work is in the creative portfolio.

Education

Three degrees and three certificates

M.S. Business Analytics

Mercy University, New York · May 2026

GPA 4.0 / 4.0Delta Mu Delta Honor Society

Quantitative Methods in Business Research, Data Management, Data Visualization, Managerial Analytics, Risk and Uncertainty Modeling, Advanced Modeling Methods, Customer Analytics, Data Analytics Capstone.

MBA, Operations Management

American International University Bangladesh · Feb 2017

GPA 3.85 / 4.0Magna Cum Laude, merit scholarship

Operations Strategy, Supply Chain and Logistics Management, Advanced Project Management, Business Statistics and Decision Analysis.

B.S. Electronics and Telecommunication Engineering

North South University, Dhaka · Jun 2013

Probability and Statistics, Engineering Mathematics, Digital Signal Processing, Control Engineering, Data Communications and Computer Networks.

Certifications

  • Measuring and Analyzing Labour Migration ITCILO, Turin, Italy · 2020
  • Effective Writing Skills, II Edition UN System Staff College · 2018
  • Professional Graphic Design Creative IT Institute, Dhaka · 2022

Skills

Technical and methodological

Programming and databases
SQL (PostgreSQL, BigQuery), R (tidyverse, dplyr, ggplot2), Python (pandas, NumPy)
Statistical methods
Linear and logistic regression, correlation, chi-square, t-tests, ANOVA, non-parametric tests, time-series methods, feature engineering, predictive modeling
BI and visualization
Tableau and Power BI dashboards, interactive visual reporting, Excel for cleaning and statistical analysis
Data operations and governance
ETL pipeline design, cleaning and validation, KPI and metrics development, data quality assurance, requirements documentation, reproducible workflows
Survey research
Instrument design with validation constraints, Kobo Toolbox and Kobo Server, Microsoft Forms, Google Forms, SurveyMonkey, M&E design, enumerator training
Communication and languages
Microsoft Office, Adobe Creative Suite (Illustrator, InDesign, Photoshop, Premiere Pro). English (fluent), Bengali (native), bilingual technical translation