Hello, I am Diwei Zhu, a programming enthusiast who loves to seek logic behind technical solutions. I see the programming as a stepping stone to the problem solving and I see data as an accurate record of a real-life scenario; be it a problem or a solution. I love to discover the problem behind the numbers and find the solutions with them.
My programming journey began in junior high school where I really enjoyed the process of creating cool solutions in a form of applications. It has always felt rewarding and, the excitement has extended my abilities from building the small applications to the bigger more complex ones which uses machine learning.
With the advent of AI and machine learning, my feeling for the data and its use has solidified. This is exactly what I want to do! It makes me feel astonished at how vast amounts of data can be made use of in such benefiting ways. What first started as a novice learning took the form of a passion, a desire to decode and understand the technology to its core.
I am passionate about Data Analytics, Business Analytics, and Programming, and I look forward to harnessing every opportunity to learn better.
- Currently seeking opportunities for Business/ Data Analysts, consultant, and Business Intelligence Engineer
- Current student of Industrial engineering at NYU, expect to graduate in May 2021
The following are my technical abilities:
- Programming - Python, R, SQL, HTML, CSS, JavaScript
- Data Visualization - Tableau(certified), Seaborn, Matplotlib
- Front End frameworks - Node.JS and ReactJS
Download my resumé.
- Programming
- Analytics
- Visualization
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MS Industrial Engineering, 2019 - 2021
New York University
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Industrial Engineering, Bachelor of Buniness Administration, 2015 - 2019
Northeastern University - China
Projects
Sponsor Position Analysis
Determine whether ths client’s logo is in the best position using the logo recognition result from API
NLP Email Subject Analysis
Evaluated the effectivness of client’s marketing email subject
Youtube Trending Analysis
summairzed the features of trending videos and created an engagament score to measure channels performance
Factory Simulation Project
Using Witness to simulate the production environment
Student Performance Prediction
Predict student’s final grade range based on their background
Covid19 Effect Analysis
Estimate the econimic effect on GDP On specific countries (Python)
Coal Terminal Maintenance Analysis
Status report on machine idle time, explore it real condition and provide maintanence advice
Coffee Shop Expansion Analysis
Calculated distance between existing coffe shop and suggest expansion location with monthly sales
Cloth Retail Analysis
Visualizaed Sales data of cloths in four states in Australia and Predict its trends on monthly basis
Perspective Students Persona Modeling
Build perspective students persona based on historial database for River university marketing department
Loan Default Risk Prediction
Using machine learning model to predict the clients' probability of paying back the loan
Meditation Workbook
Beginner guidebook for meditation, Course project of Project Management
Skills
Numpy, Pandas, NLTK, NLP
Tableau Desktop Specialist, Matplotlib/ggplot2, seaborn
R, Python, JavaScript, SQL, Java, C++
Git, VS Code, R studio, MS Excel, Premire Pro
Keras, Keras-Tuner, Sklearn, Pandas, TensorFlow
HTML, CSS, Node.js, ReactJs, RESTful
Experience
• Pipelined the process including data engineering, auto tuning, training and validation
• Used NLTK to extract subject’s meanings and Spacy library to perform NER
• Built hybrid neural network with LSTM on Keras and autotuned via Keras-tuner
• Achieved 80% accuracy on predicting the email open rate with given email’s subject
• Solved 90% of bug cases with the software, documenting every case on the error report for follow-ups
• Generated testing environment datasets using Navicat software to manipulate MySQL database
• Developed 2 solutions for these problems, including using electric power, air conditioners
• Monitored and tracked factory environment on temperature and noise using thermometer and decibel meter
• Organized the annual meeting venue for 200 people by managing the audio and video setup
• Streamlined the reporting process on the database of supplier project progress information
Education
GPA:3.87/4.00
Coursework:
- MG-GY 8413 Business Analytics
- MG-GY 9753 Machine Learning
- MG-GY 8411 Data Engineering
- MG-GY 8401 Programming for Business Intelligence & Analytics
- MG-GY 8203 Project Management
- ECE-GY 6913 Computing System Architecture
- IE-GY 6113 Quality Control and Improvement
- IE-GY 6063 Work Design and Measurement
- IE-GY 6823 Factory Simulation
- MN-GY 7893 Production Science
Coursework : Quality Control & Reliability, System Engineering, Production Planning & Control
Coursework : Quality Control & Reliability, System Engineering, Production Planning & Control