Albany, NY  ·  New York State DOH

Khandker
Qaiduzzaman

Data Professional  |  Computer Engineer  |  Educator

10+ years of experience in data analytics, machine learning, and statistical modeling. Turning complex health and enterprise data into clear, actionable decisions.

10+ Yrs Experience
8 Publications
1K+ Students Taught
Get in touch LinkedIn
Khandker Qaiduzzaman
01

About

I'm a Data Analyst at the New York State Department of Health, where I work with large-scale health data to deliver insights that support high-level decision-making. My core responsibilities include:

  • Writing complex SQL queries across Oracle, Vertica, and enterprise data warehouses
  • Designing interactive Tableau dashboards to visualize key health metrics and trends
  • Creating detailed design documents with SQL logic, data definitions, business rules, design steps, requirements, context, and key questions for cross-divisional use
  • Collaborating closely with project managers, business analysts, research scientists, and fellow data analysts to align technical solutions with organizational goals
  • Simplifying complex datasets to drive actionable insights for public health initiatives

With over a decade of experience across education, logistics, retail, EDI, and petition data, I bring a diverse analytical background and strong technical foundation. I've taught computer science and software engineering at the university level, built predictive models to improve supply chain operations, and ensured data accuracy in civic tech systems. Across roles, I focus on clarity, efficiency, and transforming raw data into meaningful results.

02

Technical Skills

Data Tools & Software Jupyter NotebookRStudioGoogle Colab IBM Watson StudioMS ExcelTableau Prep Builder Tableau DesktopIBM WDIPostmanLiaison
Programming Languages PythonRSQLPostgreSQL JavaC/C++C# .Net MVC.Net CoreMatlab
Database SQL ServerOracleMySQL SQLiteMS AccessPostgreSQLVertica
Operating Systems WindowsLinuxMac
Miscellaneous MS PowerPointGitLaTeXAdobe Photoshop
03

Experience

Jan 2025 — Present
Data Analyst
New York State Department of Health  ·  Full-time
Albany, New York  ·  Hybrid
  • Write complex SQL queries across Oracle, Vertica, and enterprise data warehouses to support public health reporting.
  • Design interactive Tableau dashboards to visualize key health metrics and trends for decision-makers.
  • Create detailed design documents covering SQL logic, data definitions, business rules, and requirements for cross-divisional use.
  • Collaborate with project managers, business analysts, research scientists, and data analysts to align solutions with organizational goals.
Nov 2023 — Jan 2025  ·  1 yr 3 mos
Spring Systems Inc.
Valley Stream, New York
Data Mapping & Configuration Technician I
Jul 2024 — Jan 2025  ·  7 mos
Analyst II
Apr 2024 — Jul 2024  ·  4 mos
Analyst I
Nov 2023 — Apr 2024  ·  6 mos
  • Analyzed and interpreted EDI data using statistical methods; developed Python analytics algorithms and validation scripts.
  • Mapped inbound/outbound data using ANSI X12 standards with IBM WDI and Postman.
  • Troubleshot and created new EDI transaction maps for vendors and retailers.
Apr 2023 — Nov 2023  ·  8 mos
Data Quality Control Specialist
eQual Public Benefit Corporation  ·  Contract
California, United States  ·  Remote
  • Managed petition database operations — insertion, deletion, and data cleaning.
  • Ensured data consistency, removed duplicates, and resolved ambiguities across datasets.
Jun 2020 — Dec 2022  ·  2 yrs 7 mos
Process Captain
Decathlon Deutschland
Dortmund, North Rhine-Westphalia, Germany  ·  On-site
  • Inventory management and forecasting using time series models; weather-inclusive models improved accuracy by 5%.
  • Automated inventory loss detection recovering ~€55K/week.
  • Workload prediction and productivity monitoring — regression models saving 140 hours/week.
  • Training and reporting for warehouse operations staff.
Sep 2017 — Apr 2020  ·  2 yrs 8 mos
Lecturer
Daffodil International University (DIU)  ·  Full-time
Dhaka, Bangladesh  ·  On-site
  • Instructed 1,200+ engineering students in Data Structures, Algorithms, OOP, AI, Computer Security, and Numerical Analysis.
  • Supervised student theses and research projects.
  • Won Gold Award as Supervisor at I-ENVEX 2018, Universiti Malaysia Perlis (UNIMAP), Malaysia.
  • Research: Comparative analysis of classification algorithms for student performance detection; Mutation Triggering Method for Genetic Algorithm (TSP).
Jul 2016 — Jul 2017  ·  1 yr 1 mo
Lecturer
The Millennium University  ·  Full-time
Rajarbag, Dhaka, Bangladesh  ·  On-site
  • Taught 500+ engineering students: Algorithms, Data Structures, OOP, Microprocessors, Assembly Language.
  • Research: Heuristics for mobile robot path planning in uncertain environments; meteorological prediction of Sundarban mangrove forest using ML.
Nov 2014 — Dec 2014  ·  2 mos
Intern
PI Labs Bangladesh Ltd.
Karwan Bazar, Dhaka, Bangladesh
04

Projects

01 Research · ML
01
Research · ML · Springer
Student Performance Prediction
Comparative analysis of four classification algorithms — ANN, Decision Tree, KNN, and Naive Bayes — for university student performance detection across academic records. ANN achieved the highest classification accuracy at 93.7%. Published in Springer InECCE2019.
View Repo →
02 Industry · Time Series
02
Industry · Time Series · Logistics
Inventory Forecasting Model
Time series and regression models for inventory management at Decathlon Deutschland. Integrated weather variables to improve forecast accuracy by 5%, automated inventory loss detection recovering ~€55K/week, and built workload prediction models saving 140 hours per week across warehouse operations.
View Repo →
03 Algorithm · Springer
03
Algorithm · Optimization · Springer
TSP Genetic Algorithm — Mutation Triggering Method
Combines three mutation operators — Swap, Insertion, and 2-opt — in a generation-aware triggering method: random mutations in the first 80% of generations for speed and diversity, knowledge-based 2-opt in the final 20% for optimality. Benchmarked on 9 TSPLIB instances; MTM-GA found the best travel cost on 6 of 9. Published in Springer, Embracing Industry 4.0 (pp. 159–170).
View Project →
04 Mobile · Springer
04
Mobile · Accessibility · Springer
Sightless Helper — Blind Assistance App
Interactive mobile application providing real-time navigation assistance for visually impaired users — including obstacle detection, audio feedback, and route guidance for safe independent navigation. Published in Springer ICCCS 2020 (pp. 581–592).
View Repo →
05 Hardware · Gold Award
05
Hardware · Robotics · Gold Award
RoboArm
Robotic arm project designed to perform precise mechanical tasks, earning the Gold Award at I-ENVEX 2018 — the International Innovation & Invention Competition hosted by Universiti Malaysia Perlis (UNIMAP), Malaysia. Supervised as faculty advisor at Daffodil International University.
View Details →
Player/Stage robot simulation — uncertain dynamic environment
06
Robotics · AI · IEEE ICCIT 2016
Effects of Heuristics in Mobile Robot Path Planning
Four novel heuristic functions for real-time path planning in uncertain and dynamic environments — where obstacles move at arbitrary velocities and unpredictable directions. Benchmarked across Dijkstra's, GBFS, A*, and OCF-A* in the Player/Stage simulator. A* with the adaptive h4 heuristic consistently achieved the lowest coefficient of variation for simulation time across all obstacle configurations. Published IEEE 19th ICCIT 2016, pp. 451–456.
View Project →
AirBnB NYC Tableau Dashboard thumbnail
07
Live · Interactive
Data Viz · Tableau
AirBnB NYC Dashboard
Interactive Tableau dashboard exploring New York City's short-term rental market — pricing across boroughs, room-type breakdowns, geographic density maps, and host-level analysis. Built as a personal skill project to practise LOD expressions, dashboard actions, and visual layout composition.
View Dashboard →
NY State Crime Analysis Dashboard thumbnail
08
Live · Interactive
Data Viz · Tableau
NY State Crime Analysis Dashboard
Multi-tab Tableau dashboard exploring crime trends across New York State — offense category breakdowns, county-level geographic maps, and year-over-year comparisons. Built as a personal skill project to practise multi-tab architecture, navigation UX, and storytelling with public government data.
View Dashboard →
Housing Affordability NY State — Shiny App screenshot
09
Live · Shiny App · RPubs
R · Machine Learning · Housing Policy
Housing Affordability Dynamics in New York State
Multi-source analysis integrating Census ACS, FRED economic data, and HUD Fair Market Rent benchmarks across 62 NY counties (2009–2024). Predictive modeling with tidymodels plus a novel machine unlearning experiment to assess how 2022–2024 interest rate shocks shaped model predictions. CUNY DATA 607 Final Project.
View Project →
NYC Air Quality AQI — LSTM architecture diagram
10
Python · Deep Learning · ML
Python · LSTM · LightGBM · EPA Data
Forecasting & Classifying Air Quality in NYC
45-year analysis of EPA AQI data across all five NYC boroughs (1980–2025). ELT pipeline through MySQL, LSTM deep learning for time series forecasting (MAE: 8.16, R²: 0.56), and a comparative study of five classification algorithms — LightGBM, Random Forest, KNN, SVC, and Logistic Regression — to predict AQI categories. CUNY DATA 602.
View Project →
05

Publications

2020
Qaiduzzaman KM, Khatun S, Afsa M, Sobhan S, Hossain ME, Shaharum SM, Rahman M. A Mutation Triggering Method for Genetic Algorithm to Solve Traveling Salesman Problem. In Embracing Industry 4.0 (pp. 159–170).
Springer, Singapore
Hossain ME, Qaiduzzaman KM, Rahman M. Sightless Helper: An Interactive Mobile Application for Blind Assistance and Safe Navigation. In ICCCS 2020 (pp. 581–592).
Springer, Cham
Rahman M, Sultana D, Qaiduzzaman KM, Hasan MH, Ahmad RB, Othaman RR. T-way Strategy for (Sequence Less Input Interaction) Test Case Generation Inspired by Fish Swarm Searching Algorithm. In ICCCS 2020 (pp. 155–166).
Springer, Cham
Rahman AM, Sultana D, Khatun S, et al. T-Way Strategy for Sequence Input Interaction Test Case Generation Adopting Fish Swarm.
Springer
Rahman M, Sultana D, Khatun S, et al. T-way Strategy for Sequence Input Interactions Test Case Generation Adopting Fish Swarm Algorithm. In InECCE2019, Kuantan, Malaysia (Vol. 632, p. 87).
Springer Nature
Das D, Shakir AK, Rabbani M, et al. A Comparative Analysis of Four Classification Algorithms for University Students Performance Detection. In InECCE2019 (pp. 415–424).
Springer, Singapore
2019
Hossain ME, Rahman M, Qaiduzzaman KM, Shakir AK, Hassan MM. Efficient Anti-Kidnapping and Anti-Harassment (Avoidance-Detection-Notification) Mobile Application for Unwanted Incidents. In IEEE SCOReD 2019 (pp. 112–116).
IEEE
2018
Qaiduzzaman KM, Shahjahan M, Sobhan S, Arman MS, Taj MB. An effective attendance monitoring system with fraud prevention technique for educational institutions. International Journal of Engineering & Technology. 2018;7(3):1593–8.
Int. Journal of Engineering & Technology
2016
Ripon KS, Qaiduzzaman KM, Islam MA. Effects of Heuristics in Path Planning for Mobile Robots in Uncertain and Dynamic Environments. In 19th ICCIT 2016 (pp. 451–456).
IEEE
06

Education & Certifications

Graduate Degree
Master of Science in Data Science
CUNY School of Professional Studies
2024 · Ongoing
Undergraduate Degree
Bachelor of Science in Computer Science & Engineering
Khulna University, Bangladesh
2015
Certification
Google IT Automation with Python
Coursera
March 2022
Certification
IBM Data Science Professional Certificate
Coursera
January 2022
07

Contact

Let's build something meaningful together.

Open to data analytics roles, research collaborations, and consulting opportunities. Based in Albany, NY.

Email
nafees.ku11@gmail.com
↗
LinkedIn
linkedin.com/in/qaiduzzaman
↗
GitHub
github.com/NafeesKhandker
↗
Location
Albany, New York, USA