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Data Analytics & Visualization | Database Engineer | Python Development
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Chien-Ming is a passionate Data Analytics with Computer Engineering and Business Analytics educational background and 4 years of work experience in analytics field. He is proficient in Machine Learning, Data Mining, Databases and Web Development. He has non-stoppable enthusiasm at data science, especially at data-modeling and optimization.
Rutgers University
Master of Information Technology and Analytics, Business Analytics and Operation Research concentation
January 1, 2017 – December 1, 2017
New York University
Master of Science (MS), Computer Engineering
January 1, 2014 – January 1, 2016
National Tsing Hua University
Bachelor's degree, Electrical Engineering
January 1, 2008 – January 1, 2012
JMicron Technology Corp
Engineer
June 1, 2024 – Present
Taipei, Taipei City, Taiwan · On-site
Upwork
Data Scientist
January 1, 2022 – Present
The Mansion at Glen Cove
Revenue Analytics | IT Manager
May 1, 2019 – June 1, 2021
The Mansion at Glen Cove
Computer System Analyst
March 1, 2018 – May 1, 2019
Discover.film
Machine Learning Intern
August 1, 2017 – December 1, 2017
Remote
Kaggle Community
Kaggler
March 1, 2017 – March 1, 2018
Greater New York City Area
Localour
Co-Founder
February 1, 2016 – July 1, 2016
Greater New York City Area
The AAT Project (America’s Amazing Teens)
Full Stack Web Developer Intern
January 1, 2016 – May 1, 2016
Greater New York City Area
Taiwanese American Association of New York
Web Developer
December 1, 2015 – December 1, 2017
Greater New York City Area
Federation of Taiwanese Student Associations in New York, Inc.
Vice President
April 1, 2015 – April 1, 2016
Greater New York City Area
Federation of Taiwanese Student Associations in New York, Inc.
Webmaster
October 1, 2014 – April 1, 2015
Greater New York City Area
NTHU Power System Laboratory
Research Assistant
December 1, 2013 – June 1, 2014
Hsinchu County/City, Taiwan
National Tsing Hua University
Teaching Assistant
February 1, 2012 – June 1, 2012
Hsinchu County/City, Taiwan
National Tsing Hua University
Teaching Assistant
February 1, 2011 – June 1, 2011
Hsinchu County/City, Taiwan
AIESEC
Staff
October 1, 2008 – November 1, 2009
Hsinchu
San Francisco Crimes Spatial and Time Series Analysis
December 1, 2020 – February 1, 2021
• Performed spatial and time series analysis for a 15-year dataset of reported incidents from SFPD • Built data processing pipeline in Python and trained with ARIMA model to forecast number of thefts per month • Explored and data visualized the variation of the spatial distribution of incidents over time in each SF areas
Daily News Text Mining for Stock Market Prediction (Python, Jupyter)
October 1, 2017 – November 1, 2017
• Designed models for 8 years daily headlines for stock market fluctuation and increased 12 % in AUC • Implemented N-gram model, stemming, and TF-IDF for preprocessing and data visualization used word cloud • Applied Logistic Regression, Naïve Bayes, Random Forest
Capstone: Multi-focal lead scoring for predictive modeling in B2B Market (Matlab, R)
August 1, 2017 – October 1, 2017
Advisor: Professor Hui Xiong Tutor: Phd Jingyuan Yang • Built a predictive model and improved the precision with 3% for imbalanced dataset • Calculated features' standard deviations and built the correlation heat map • Developed Multi Task Learning method and tuned parameters for precision-recall performance
Netflix Movie Recommendation System (Python, Hadoop)
June 1, 2017 – August 1, 2017
• Created a recommendation system based on Netflix 4G movie datasets and performed data visualization in Python • Applied Item-based Collaborative Filtering for rating and co-occurrence matrix to get recommendation results • Deployed on Docker for Hadoop MapReduce to predict users’ preference implemented in Java
Hotel Management Database System (My SQL, Python, HTML/CSS3, Apache)
April 1, 2017 – Present
• Designed the ER-diagram and deployed hotel relational model in MySQL database • Wrote Python scripts to test MySQL database performance with different query scenarios • Integrated with Apache and CGI and built the website in HTML5/CSS3
IMDB Movies Rating Prediction and Data Mining (R, Tableau)
January 1, 2017 – May 1, 2017
• Built predictive models for IMDB 5000+ movie ratings and improved 0.61 in RMSE • Performed the exploratory data analysis and visualized the movie stars’ performance, and posters’ effectiveness • Implemented Linear Regression, Boosting Tree, and Random Forest
Machine Learning Project: Renthop Listing Inquiries Prediction (Python)
January 1, 2017 – May 1, 2017
• Implemented the parameter tuning in XGBoost algorithm and achieved top 30% in Kaggle. • Performed the data exploratory analysis and visualization to find the feature relationships • Conducted the feature engineering and selection for use in model construction
Thunderbird Web Performance Analytics (Google Analytics, Tableau)
January 1, 2017 – May 1, 2017
• Analyzed and identified metrics, KPIs and segments using Google Analytics data source • Built a goal conversion model to evaluate the website performance • Demonstrated absolute recommendations and created the dashboard using Tableau
Network Reconnaissance and Exploit
September 1, 2015 – December 1, 2015
• DDoS attack on Window XP machine by using Python, SCAPY and SYN-flood method • Exploit server machine by DHCP starvation attack, prevent other host’s network connection given same subnet area • ARP poison the server machine and exploit SSL protocol by using Man-In-The-Middle attack, record confidential information
Social Networking Travel Website
January 1, 2015 – May 1, 2015
• Built a SNS website with LAMP stack for post, chat, and picture sharing features • Wrote SQL queries with Navicat to extract data from databases and PHP codes for back-end data transferring • Developed the front-end pages using HTML, CSS and Bootstrap framework to provide better user experience
TCP IP Traffic Analysis
January 1, 2015 – May 1, 2015
• Implemented load-balancing technique with Python to improve traffic performance within the network • Analyzed data on TCP traffic, including average bit rate, IP, port number, traffic volume intervals, using MATLAB • Reduced over 50% maximum difference data transmission intervals and improved 15% transfer traffic speed
Power System Simulation and Analysis
November 1, 2011 – December 1, 2011
• Simulated the city power plants with electric grid power flows with Matlab and Simulink • Performed generator control system parameter estimation • Use EMT simulation and harmonic analysis to identify and mitigate power quality issues
Project Management Professional (PMP)®
Project Management Institute
June 24, 2026 – Present
Shopping ads Certification
June 24, 2026 – Present
Google Ads Video Certification
June 24, 2026 – Present
Google Ads Apps Certification
June 24, 2026 – Present
Google Ads - Measurement Certification
June 24, 2026 – Present
Google Ads Search Certification
June 24, 2026 – Present
Google Analytics Individual Qualification
June 24, 2026 – Present
Data-driven Decision Making
Coursera
June 24, 2026 – Present
Introduction to Big Data
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Customer Analytics
Coursera
June 24, 2026 – Present
Web Analytics Practitioner (Market Motive)
Market Motive
June 24, 2026 – Present
Google AdWords
June 24, 2026 – Present
Google Analytics
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to freelance data science and web development, suggests a broad interest in technology and a versatile skill set. Their involvement in Kaggle competitions and various community organizations indicates a proactive, continuous learning mindset and a collaborative spirit. The blend of technical and business-oriented roles (e.g., Revenue Analytics | IT Manager) suggests an ability to bridge technical insights with business strategy, which is valuable for cultural fit in data-driven organizations.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience suggest strong analytical thinking, problem-solving capabilities, and a results-oriented approach, as evidenced by quantifiable achievements (e.g., 'saved 15% utilities expense', 'improved 10% efficiency'). Experience as a Co-Founder and Vice President also indicates leadership and organizational skills. The diverse project portfolio implies adaptability and a willingness to tackle varied challenges.