About

Addi Wei is a highly experienced Senior Data Scientist with over 7 years of experience in utilizing SQL and Python to productionize custom algorithms and machine learning predictive models to drive revenue and optimize performance. With a Master's in Industrial Engineering and a Bachelor's in Computer Science, Addi is skilled in utilizing the latest causal inference methods of power analysis, regression, matching, event studies, dynamic diff-in-diff, instrumental variables, and utilizing block randomization to design experimental studies to measure outcomes. Addi is a skilled professional in utilizing comprehensive data and computer science skill set to collaborate on cross-functional projects in the financial and various industries. He is competent in AWS Sagemaker machine learning pipeline development and serverless or batch deployment, Databricks / Apache Spark, operations, large data-driven workflow, data quality, process optimization, automation scripting. His competencies also include Parallel Computing / Big Data Process Flow and Optimization, Spark, Databricks, AWS (Sagemaker, Lambda, API, Glue, Athena), Qubole, Data Science, Causal Inference, Data Engineering, Statistical Inference, Python, SQL, Statistical Analysis, Data Wrangling, Machine Learning, Predictive Modeling, Scikit Learn Library, Feature Engineering, Visualizations, Time Series Analysis, Anomaly Detection Systems, Neural Networks (CNN, RNN), Natural Language Processing, Text Transformation, Identity Resolution, Word2Vec, A/B Testing, Jupyter Notebook, Git, Docker, Cloud Computing, and BI. Currently working as a Senior Data Scientist at Pilot Flying J, Addi is a senior leader in designing & developing machine learning and optimization solutions to increase sales and gross profit. He utilizes a comprehensive computer science and data-driven approach to solve business problems and presents new solutions and ideas in collaboration with business stakeholders. Addi is also a mentor and developer of Junior DS in ML, statistical, causal inference, and algorithmic approach. In his past roles, Addi has worked as a Bootcamp Lead Instructor at Georgia Institute of Technology, where he was responsible for Data Analytics, Machine Learning, Python, SQL Instructor for a 6-month cohort. He has also worked as a Senior Data Scientist at Search Discovery, where he was an SME in deploying full-scale predictive models in AWS (Sagemaker, S3, Lambda, Athena, API Gateway), Salesforce Einstein, and other cloud platforms in a client-facing role across the financial and various industries. With a relevant experience of 12.19 years