Data-Driven Insights by Winston Wang

Discover the journey of a curious data scientist. Transforming data into actionable insights across various industries.

I’m Winston Wang, a Data Scientist With 3+ Years of Experience And Passion for Discovery and Innovation


Born and raised in China, my Chinese name is Dawei (pronounced like Dah-Way). I go by Winston. My journey into data science began with bioinformatics during my first master’s degree in biology, where my curiosity and passion for learning new fields allowed me to quickly master the algorithms that sparked my path into data science. Although my interests and experiences are broad — from bioengineering to data algorithms — this passion for discovery continues to drive me forward as I explore new challenges in data science.

I believe that data holds the key to unlocking endless possibilities and shaping a better future. Since becoming a data scientist, I have worked across healthcare, IoT, and transportation industries, crafting tailored solutions for various teams and challenges. My scientific training instilled a rigorous approach, while my engineering background has given me a practical mindset to ensure real-world applicability and efficiency in the solutions I develop.

Beyond my technical work, I take pride in being hands-on with everything I do. I designed, configured, and ran this website on an Orange Pi server at home, driven by the same curiosity guiding my professional journey. Inspired by traditional Chinese calligraphy, my website logo represents my cultural roots and the blend of modern technology with timeless values. My mission is simple: to make a meaningful contribution to the world, one data-driven solution at a time.

Winston Wang

Email

mail@winston-wang.com​

Phone

(312) 292-7535​

Time Zone

Central Daylight/Standard Time​

Education

Master of Science in Data Science

Computational Methods​

2020 – 2022

DePaul University
• Awards: Graduate with Distinction (GPA: 3.98/4.0)
• Leadership: Data Science Group (President)

Master of Science in Biology

Cellular and Molecular Biology

2016 – 2019

Illinois Institute of Technology

Bachelor of Engineering in Bioengineering

Biochemical Engineering

2010 – 2014

Tianjin University of Science and Technology
Awards: The 8th “Challenge Cup” Fosun National College Students Business Plan Competition
Bronze Prize
Project manager of a National Undergraduate Training Program for Innovation and Entrepreneurship

Experience

Machine learning scientist​

July 2022 – Present
TOGO Car-sharing

Streamlined interviews with business partners to redefine the ‘Car and flows distribution issue,’ which led to the development of a machine learning model and performance metrics designed to address operational realities.

Conducted a comprehensive assessment of machine learning algorithms (SVM, ARIMA, KNN) and deep learning models (CNN) to determine the most effective approach, leading to a 20% improvement in revenue forecasting accuracy.

Pioneered the development and application of a cutting-edge deep learning model, fusing 1D CNN with LSTM, resulting in a remarkable reduction in RMSE by one to two orders of magnitude and outperforming the accuracy of the open-source model by approximately 45%.

Developed and launched a robust MLOps dashboard to continuously monitor model performance and input and output metrics. Streamlined concept drift and data drift detection, resulting in a 40% reduction in model retraining time.

Proposed an innovative architecture combining M-GCN and LSTM models, enhanced with an attention mechanism that could revolutionize traffic management approaches.

Junior Data Scientist

June 2022 – August 2022
AbbVie

Engineered a user-centric SQL Generator and Data Retriever tool, simplified access for users unfamiliar with Optum/Truven datasets to easily retrieve needed data; reduced dependency on data engineers by 80%.

Orchestrated end-to-end development of an advanced pipeline, merging real-world medical and prescription claim data into a user-friendly interface.

Leveraged A/B testing to identify and implement the optimal interface, enhancing user experience and driving data accessibility and insights. Resulting in a 60% reduction in data processing time.

Built the prototype that verifies the feasibility of this tool’s technical route and capabilities. Once done, this tool could save the company $1 billion in yearly license fees.

Collaborated on crafting the ML algorithm for extracting insights from patients’ comorbidity and medicine usage, enabling healthcare providers to identify high-risk patients with 94% accuracy.

Lead Data Scientist

January – June 2021
Instahub

Crafted the development of a strategic blueprint for the department, emphasizing AI-powered energy waste detection in building HVAC operations, guided development priorities, established standards and protocols, and directed the project lifecycle from inception to completion.

Implemented Extended Kalman Filter and Markov-based recurrent neural networks for occupancy prediction, tailored to user requirements. This innovation led to an average of 20% reduction in energy usage across pilot buildings, showcasing effective energy management through predictive analytics.

Collaborated with cross-functional teams to design and deploy an analytics dashboard for real-time monitoring and analysis of heat transfer data, improving operational efficiency by 25% and enabling proactive maintenance strategies.

Certificates

Deep Learning specialization

February 2023
Coursera/DeepLearning.AI

Show credential

Transfer Learning for NLP with TensorFlow Hub

February 2023
Coursera

Show credential

My Skills

Programming and Software Dev.

Python, R, SQL, Java, Perl
Git, Docker, Nginx, WordPress (This site)
Waterfall/Agile Dev.
Microsoft Project

Data Analysis and Data Visualization

Pandas, NumPy, JAGS
Tableau, PowerBI, Matplotlib, Seaborn, ggplot2, Qlik Sense

Big Data Technologies

Mango DB, Apache Hive
Databricks, Apache Hadoop, Pig, Storm, Spark

Cloud and OS

Amazon Web Services (AWS), Azure, Snowflake, Linux

Machine Learning and Artificial Intelligence

SciKit Learn, TensorFlow, PyTorch, LongChain, MLX
Supervised Learning, Unsupervised Learning, Recommender System, Reinforcement Learning
Hyperparameter Tuning, Model Performance Analysis
Convolutional Neural Network (CNN), Recurrent Neural Network (RNN)
Transfer Learning, Natural Language Processing (NLP), Large Language Model Finetuning

Data holds the key to unlocking endless possibilities and shaping a better future.

Winston Wang

Endorsements​

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John Stewart​
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Katie Donn​
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Laura Peterson​
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Harold Anderson​
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Laura Peterson​
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Harold Anderson​
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Explore my background and skills in detail.

View my resume.

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