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I’m Khandker M Qaiduzzaman
Data Analyst
Computer Engineer
Educator
A seasoned data analyst and computer engineer, I seamlessly blend academic depth with practical industry insights. My expertise spans Machine Learning, Computational Intelligence, Big Data, and Algorithmic Robotics, navigating the intricate intersection of theory and real-world applications.
About Me
❝In the ever-evolving landscape of technology, each step is an adventure. Unaware of our destination, we navigate the path, embracing the unknown, getting lost, and eagerly anticipating the miracles that unfold along the journey.❞
In the realm of data for over 6 years, I am Khandker Qaiduzzaman—an adept professional currently residing in Flushing, NY. My expertise spans data pre-processing, statistical modeling, machine learning, time series analysis, and optimization algorithms.
Technical Proficiency
My toolkit encompasses proficiency in Python, R, Java, Tableau, SQL, MS Excel, and various statistical packages. My familiarity extends to data science tools like Jupyter Notebook, RStudio, Google Colab, IBM Watson Studio, and Tableau Prep Builder.
Professional Trajectory
In my current role at Equal Public Benefit Corporation in San Francisco, I meticulously manage data quality, overseeing the insertion, deletion, and cleaning of petition data.
Previously, at Decathlon Logistics Center in Dortmund, Germany, I orchestrated inventory management and forecasting, employing a data-driven approach inclusive of time series analysis and statistical modeling. My initiatives, such as automated inventory loss detection, contributed to a substantial weekly recovery.
Academically, my tenure as a Lecturer at Daffodil International University (DIU), Dhaka, Bangladesh, involved not only instructing 1200+ students but also leading notable research projects. From comparative analyses of classification algorithms to pioneering hybrid feature selection for health data mining, my contributions garnered recognition, including a Gold Award at I-ENVEX 2018 in Malaysia.
At The Millennium University (TMU), Dhaka, I continued my academic pursuits, teaching and conducting research in AI and Data Science. Projects such as evaluating heuristics in path planning for mobile robots and meteorological prediction of Sundarbans exemplify my commitment to rigorous research.
Educational Background
I earned my Bachelor’s in Computer Science and Engineering from Khulna University, Bangladesh, in 2015. In addition to practical experience, I hold certifications in Google IT Automation with Python and IBM Data Science.
For a more in-depth exploration of my journey, visit www.khandkerm.com, and connect with me on LinkedIn.
Top skills:
Technical Skills
DATA SCIENCE TOOLS & SOFTWARE | Jupyter Notebook ● RStudio ● Google Colab ● IBM Watson Studio ● MS Excel ● Tableau
PROGRAMMING LANGUAGE | Python ● R ● Java ● C/C++ ● C# .Net ● SQL ● Matlab
DATABASE | SQL Server ● MySQL ● SQLite ● PostgreSQL ● MS Access
OPERATING SYSTEM | Windows ● Linux ● Mac
MISCELLANEOUS | MS PowerPoint ● Git ● LaTeX ● Adobe Photoshop
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Professional Experience
Data Quality Control Specialist at eQual Public Benefit Corporation, San Francisco
April 2023 - Present
My primary responsibilities are,
- Insertion and deletion of petition data into the database
- Checking for inconsistency, duplicates, and ambiguity in data
- Cleaning and managing the data in the database
Inventory Analyst at Decathlon Logistics Center, Germany
June 2020 - December 2022
My primary responsibilities were,
INVENTORY MANAGEMENT AND FORECASTING
- Pre-processed data and estimated future inventory using time series analysis and statistical modeling
- Developed a weather-inclusive model for water and winter sports teams, boosting accuracy by 5%
- Implemented automated technique for detecting inventory loss, recovering ~55K Euros/week
WORKLOAD PREDICTION AND PRODUCTIVITY MONITORING
- Built regression models predicting work hours from order data, cutting average workload by 140 hours/week
- Monitored productivity, ensured timely fulfillment, and adjusted teams based on productivity and promise stats
TRAINING AND REPORTING
- Analyzed RFID scans, sent weekly reports, raising rates from 82.3% to 98.7%
- Trained new employees on IT materials, inventory management tasks, and IBM AS400 software
Lecturer at Daffodil International University
September 2017 - April 2020
Instructed 1200+ engineering students, supervised theses, and taught various courses: Data Structures, Algorithms, OOP, AI, Computer Security and Numerical Analysis
Notable Research Projects:
- Proposed a model to identify key factors affecting academic performance for Bangladeshi university students
- Implemented feature selection (Correlation, Chi-Square, Euclidean) and compared classification algorithms (Decision Tree, Naive Bayes, K-NN, ANN)
- Achieved 93.70% accuracy in student performance prediction using ANN, while Decision Tree’s performance improved with more classes
HYBRID FEATURE SELECTION METHOD FOR HEALTH DATA MINING
- Proposed hybrid feature selection for ML classifiers (Gaussian, DT, RF, SVM) to boost accuracy
- Implemented hybrid method combining filter and wrapper, achieving high accuracy with fewer features
A MUTATION TRIGGERING METHOD FOR GENETIC ALGORITHM TO SOLVE TRAVELING SALESMAN PROBLEM
- Proposed a Mutation Triggering Method for the genetic algorithm to solve the Traveling Salesman Problem
- Combined three mutation operators, applied adaptive probability for improved travel cost and convergence
WON GOLD AWARD AS SUPERVISOR IN I-ENVEX 2018, UNIVERSITI MALAYSIA PERLIS (UNIMAP), MALAYSIA
- Supervised and won gold award for “RoboArm: A Robotic Arm Targeting Industrial Revolution 4.0” project
INSTRUCTOR at The Millennium University
July 2016 - July 2017
Taught 500+ engineering students, conducted AI and Data Science research, and instructed courses: Algorithms, Data Structures, OOP, Microprocessors and Microcontrollers, Assembly Language
Notable Projects:
EFFECTS OF HEURISTICS IN PATH PLANNING FOR MOBILE ROBOTS IN UNCERTAIN AND DYNAMIC ENVIRONMENTS
- Proposed heuristics to assess their effects on mobile robot path planning in uncertain-dynamic environments
- Implemented heuristics in various algorithms for robot pathfinding, with heuristic 4 satisfactory and A* performing best in travel-distance
METEOROLOGICAL PREDICTION OF THE LARGEST MANGROVE FOREST IN THE WORLD, “SUNDARBAN”
- Pre-processed meteorological data of Sundarban and separated the relevant features
- Implemented Linear Regression, KNN, ANN, and RNN for forecasting, calculating model accuracy
Project
Some of my projects are listed below. Please click on the project title for the details of the project.
This project is conducted as part of my undergraduate thesis work. An environment were designed that includes static, dynamic and uncertain obstacles. Several algorithms were implemented in this project to navigate a mobile robot through this environment.
For details, click here
The objective of this project is to design a mutation triggering method by combining three mutation operators (Swap, Insertion and 2-Opt) and applying adaptive probability. To decide which mutation will be activated at a given generation, a decision-making method named Mutation Triggering Method is designed. To measure the performance, the classical traveling salesman problem was considered.
For details, click here
In this project, an Attendance Monitoring System (AMS) is designed for educational institutions. The module can effectively limit the fraudulent activities in attendance monitoring process. The system uses the Radio Frequency Identification (RFID) technology to prevent fraudulence.
For details, click here
In this project, I have visualized the New York City AirBnB data in a Tableau dashboard. The dataset was downloaded from Kaggle. Before implementing the dashboard, I have created separate sheets involving different dimensions and measures. I will discuss each sheet thoroughly with some insights step by step.
For details, click here
Publication
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. InEmbracing Industry 4.0 2020 (pp. 159-170). Springer, Singapore.
- Hossain ME, Qaiduzzaman KM, Rahman M. Sightless Helper: An Interactive Mobile Application for Blind Assistance and Safe Navigation. InInternational Conference on Cyber Security and Computer Science 2020 Feb 15 (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. InInternational Conference on Cyber Security and Computer Science 2020 Feb 15 (pp. 155-166). Springer, Cham.
- Rahman AM, Sultana D, Khatun S, Jusof MF, Shaharum SM, Yusof NA, Qaiduzzaman KM, Hasan MH, Rahman MM, Hossen MA, Begum A. T-Way Strategy for Sequence Input Interaction Test Case Generation Adopting Fish Swarm.
- Rahman, M., Sultana, D., Khatun, S., Jusof, M.F.M., Shaharum, S.M., Yusof, N.A.T., Qaiduzzaman, K.M., Hasan, M.H., Rahman, M.M., Hossen, M.A. and Begum, A., 2020, March. T-way Strategy for Sequence Input Interactions Test Case Generation Adopting Fish Swarm Algorithm. In InECCE2019: Proceedings of the 5th International Conference on Electrical, Control & Computer Engineering, Kuantan, Pahang, Malaysia, 29th July 2019 (Vol. 632, p. 87). Springer Nature.
- Das D, Shakir AK, Rabbani M, Golam S, Rahman M, Shaharum SM, Khatun S, Fadilah NB, Qaiduzzaman KM, Islam M, Arman M. A comparative analysis of four classification algorithms for university students performance detection. InInECCE2019 2020 (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. In2019 IEEE Student Conference on Research and Development (SCOReD) 2019 Oct 15 (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.
2016
- Ripon KS, Qaiduzzaman KM, Islam MA. Effects of heuristics in path planning for mobile robots in uncertain and dynamic environments. In2016 19th International Conference on Computer and Information Technology (ICCIT) 2016 Dec 18 (pp. 451-456). IEEE.
Education
Award & Certification
Double Gold Award
My team won double gold award at i-ENVEX Exhibition, UniMAP, Malaysia. The project title is "Pocket VSP: An integrated variable signal source and power supply for electronics lab".
Gold Award
My team won gold award at i-ENVEX Exhibition, UniMAP, Malaysia. The project title is "ROBOARM: A robotic arm targeting for industrial revolution 4.0".
Certificate of Appreciation
I took classes on "Robotics and Automation" at SCMS Group of Educational Institutions, Kerala, India. It was invited to visit SCMS School of Engineering and Technology, India as part of an exchange faculty program.
Certificate of Participation
I participated in "Internship Programme on Robotics and Automation 2019" at SCMS Centre for Robotics, SSET, India as an international exchange faculty.
Certificate of Achievement
I was a contest programmer and participated on ACM ICPC Dhaka Site 2012 as a member of KU_Unique team.
Certificate of Participation
I participated on ACM NCPC Bangladesh 2013 as a contestant programmer of KU_Unique team.
Certificate of Completion
I have completed on "Training Course on Mobile Application Development" organized by Ministry of Information and Communication Technology, Bangladesh
Certificate of Completion
I was issued a certificate from IBM-Coursera for completing "What is Data Science?" course.
Certificate of Completion
I was issued a certificate from Google for completing "Crush Course on Python" course.
Certificate of Completion
I have completed on "Training Course on Mobile Application Development" organized by Ministry of Information and Communication Technology, Bangladesh
Get In Touch
I am very responsive to email. Please do not hesitate to contact me if you have any queries about me and my work.
- Call Me:
+1 (929) 631 5081
- Mail Me:
nafees.ku11@gmail.com
- My Location:
New York, USA
Have Something To Write?
Please send me short email with specific subject.