Data Scientist Fresher

NGUYEN DUC HUYNH

District *, Ho Chi Minh city · 098*-***-***

*****.**********@*****.*** · Github link

An analytical, logical, and ML-inspired person with a strong background in formulating mathematical model for optimizing logistic network problem. Relentless pursuit of applying ML (Machine Learning) model into civil society to enhance human happiness. Familiarity with algorithm optimization. Proficiency in C/C++ and Python. Now looking for a chance to become a data scientist. Expecting to get into development and implementation cutting-edge ML projects under the belt, have a good comprehension of modeling ML development and to become a senior data scientist over the next 3 years. EDUCATION

GRADUATE: 03/2022

INDUSTRIAL SYSTEM ENGINEERING, INTERNATIONAL UNIVERSITY HCMC GPA: 75.4/100

• Coursework: Introduction to C/C++, Probability and Statistics (covariance, linear regression, logistic regression, ANOVA, hypothesis testing), Multivariable Calculus, Differential Equations, Linear Algebra, Operation Research (linear programming, graph theory, genetic algorithm), Modeling Simulation, Scheduling Optimization (mathematical model formulation, heuristic methods).

WORK EXPERIENCE

JUNE 2022 – PRESENT

PRODUCT ENGINEER, JABIL VIETNAM LTD

• Implemented data clearance and data analysis by using Visual Basic Application (VBA) and dynamic array to analyze the change in Bills of Materials and visualized results by Excel dashboard.

• Led a group of 9 people with agile management principles and scrum tool to ensure that the change projects in product design was accomplished successfully and on time. SEPTEMBER 2020 – MARCH 2022

TEACHING ASSISTANT IN OPERATION RESEARCH COURSE, INTERNATIONAL UNIVERSITY

• Developed a new approach by revising 2-phase method algorithm and big M method algorithm to fill out manually from 7 minutes/tableau to 1 minutes/tableau in midterm examination and tutored it for students. ACADEMIC PROJECTS

THESIS, ALLOCATION PROBLEM WITH LATE DELIVERY AND INVENTORY

• Developed a mathematical model for vendors selection with limits of time, late delivery, defects, inventory for a manufacturing Bifan company. The model used linear programming techniques to minimize total cost of delivery and stock, resulting in a 15% reduction in total cost, saving the company $25000 per year. The optimization result was derived by Cplex software requiring C language. OPERATION RESEARCH, FINDING THE SHORTEST PATH OF BIFAN’S DISTRIBUTION NETWORK

• Developed a genetic algorithm and implemented by Google Colab with NumPy, Seaborn and Pytorch library to find the shortest path to travel 5 cities in South Viet Nam for manufacturing Bifan company’s distribution network. It caused a reduction in late delivery by 35% and an increase in satisfaction feedback from customers because of more timely delivery.

CAPSTONE DESIGN, CANTEEN’S SIMULATION MODEL IN PREDICTING BOTTLENECKS

• Utilized Arena simulation to optimize a dynamic queuing system at canteen by creating a simulation model to predict bottlenecks and optimize the system based on real-world data such as customer arrival rates, service times, and queue lengths. It reduced waiting times by over 50%, allowing the canteen to serve 20% more customers per hour, increased customer satisfaction and revenue by $100/hour. The simulation model also allowed for future decision-making by conducting changes in key data (sensitivity analysis). SKILLS

• Teamwork • C/C++ • Python • Scrum • Agile

LANGUAGE

IELTS Certificate (Overall: 6.0 Reading score: 7.5)

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