Albany, NY  ·  Available for opportunities

Khandker
Qaiduzzaman

Computer engineer & data scientist with 6+ years of expertise turning raw data into decisions. From EDI mapping to machine learning — I build things that work.

Python Machine Learning ETL / EDI Statistical Modeling Data Visualization Tableau SQL R Java
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01

About

I'm an experienced computer engineer specializing in data science, machine learning, and ETL pipeline development. My work bridges academic research and industry applications — from teaching 1,200+ university students to automating inventory loss detection worth €55K/week at Decathlon.

Currently pursuing my Master of Science in Data Science at CUNY School of Professional Studies while working as a Data Mapping & Configuration Technician at Spring Systems, where I build and troubleshoot EDI transaction maps using ANSI X12 standards.

My research has been published in IEEE and Springer, covering topics from genetic algorithms to mobile robot path planning.

6+ Years Experience
8 Publications
1.7K+ Students Taught
93.7% Model Accuracy
02

Technical Skills

Languages
  • Python
  • R
  • Java
  • C++
  • C#
  • JavaScript
  • HTML/CSS
  • SQL
Data & BI Tools
  • Jupyter
  • RStudio
  • Google Colab
  • IBM Watson
  • Tableau
  • Excel
Databases
  • SQL Server
  • Oracle
  • MySQL
  • PostgreSQL
  • IBM AS400
ML & Modeling
  • ANN
  • Decision Trees
  • Regression
  • Time Series
  • Genetic Algorithms
  • Feature Selection
Standards & Protocols
  • ANSI X12
  • EDI Mapping
  • IBM WDI
  • Postman
Tools & Platforms
  • Git
  • LaTeX
  • Adobe Photoshop
  • Linux
  • Windows
  • Mac
03

Experience

Nov 2023 — Present
Data Mapping & Configuration Technician
Spring Systems
📍 Valley Stream, NY
  • Analyzed and interpreted EDI data using statistical methods; developed Python-based 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
Data Quality Control Specialist
Equal Public Benefit Corporation
📍 San Francisco, CA
  • Managed petition data in database — insertion, deletion, and cleaning.
  • Ensured data consistency, removed duplicates, and resolved ambiguities.
Jun 2020 — Dec 2022
Inventory Analyst
Decathlon Logistics Center
📍 Dortmund, Germany
  • Forecasted inventory using time series analysis; developed weather-inclusive models improving accuracy by 5%.
  • Automated inventory loss detection, recovering ~€55K/week.
  • Built regression models to optimize workload, saving 140 hours/week.
Sep 2017 — Apr 2020
Lecturer & Research Coordinator
Daffodil International University
📍 Dhaka, Bangladesh
  • Taught 1,200+ students across Data Structures, Algorithms, AI, OOP, and Computer Security.
  • Achieved 93.7% accuracy in student performance prediction using ANN.
  • Won Gold Award for "RoboArm" at I-ENVEX 2018, UNIMAP.
Jul 2016 — Jul 2017
Lecturer & Researcher
The Millennium University
📍 Dhaka, Bangladesh
  • Taught 500+ students in Algorithms, Data Structures, Microprocessors, and Assembly Language.
  • Conducted AI & Data Science research on mobile robot path planning and meteorological prediction.
04

Projects

01 / Research
Student Performance Prediction
Predicting student academic success using Artificial Neural Networks and Decision Trees. Achieved 93.7% classification accuracy.
View Repo →
02 / Industry
Inventory Forecasting Model
Time series and regression models for inventory management at Decathlon. Integrated weather variables to improve forecast accuracy by 5%.
View Repo →
03 / Algorithm
TSP Genetic Algorithm
Novel Mutation Triggering Method for Genetic Algorithm to solve the Traveling Salesman Problem. Published in Springer.
View Repo →
04 / Robotics
Mobile Robot Path Planning
Heuristics-based path planning for mobile robots navigating uncertain, dynamic environments. Published in IEEE.
View Repo →
05 / Mobile
Sightless Helper App
Mobile application designed to assist visually impaired users with navigation and environmental awareness. Published in Springer.
View Repo →
06 / Award
RoboArm
Robotic arm project that earned the Gold Award at I-ENVEX 2018, UNIMAP International Innovation & Invention Competition.
View Details →
05

Publications

2020
A Mutation Triggering Method for Genetic Algorithm to Solve Traveling Salesman Problem
Springer · Qaiduzzaman KM et al.
2020
Sightless Helper: Mobile Application for Blind Assistance
Springer · Hossain ME et al.
2020
T-way Strategy for Sequence Less Input Interaction Test Case Generation
Springer · Rahman M et al.
2019
Efficient Anti-Kidnapping & Anti-Harassment Mobile App
IEEE · Hossain ME et al.
2018
Attendance Monitoring System with Fraud Prevention
International Journal of Engineering & Technology · Qaiduzzaman KM et al.
2016
Heuristics in Path Planning for Mobile Robots in Uncertain Environments
IEEE · Ripon KS & Qaiduzzaman KM
06

Education & Certifications

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

Contact

Let's build something meaningful together.

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

Email
nafees.ku11@gmail.com
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LinkedIn
linkedin.com/in/qaiduzzaman
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GitHub
github.com/NafeesKhandker
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Phone
(929) 631-5081