Dawei Wang Email & Phone Number

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

Remote

• Biochemical Processes and Technologies Laboratory
• Implemented genomic prediction for Aspergillus niger using unsupervised algorithms integrated with Hidden Markov Model (HMM) and Hidden Semi-Markov Model (HSMM), enhancing gene identification efficiency.
• Achieved over 80% reduction in erroneous gene notation, providing clear directions for genetic engineering research through combined prediction methods.
• Altered research approach to increase target gene prediction accuracy by 90%, resulting in considerable time and budget savings and directing research toward actionable genetic engineering insights.

Chicago, Illinois, United States

• Hosted workshops on Object-oriented Programming and Tableau, aiding over a hundred students in mastering these critical skills.
• Tutoring students with data science and statistical concepts, programming skills, methodology, and tools like Python, R, SQL, SciKit Learn, Seaborn, TensorFlow, etc

Chicago, Illinois, United States

• Engineered a user-centric SQL Generator and Data Retriever tool, enabling users with limited or no experience manipulating Optum/Truven datasets to pull desired data effortlessly; reduced dependency on data engineers.
• 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. This tool could save $1 billion in license fees per year for the company once done.
• 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.

Remote

• Crafted the department’s technical roadmap, guided development priorities, established standards and protocols, and directed project management.
• 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.
• 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.

Master Of Science - Ms, Data Science, 3.98/4.0

Activities and Societies: Co-President of the Data Science Group

Master Of Science - Ms, Cell/Cellular And Molecular Biology, 3.72/4.0

Bachelor Of Engineering - Be, Bioengineering (Biochemical Engineering), 3.43/4.0

Activities and Societies: Founder and President of Tianjin Qingpu Youth Volunteer Association