Michael Cho work email
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Michael Cho personal email
Michael has a background with experiences ranging from business consulting, fraud analytics, ecommerce, and industrial/consumer verticals. Michael loves to nerd out on data but also interact with stakeholders/clients to realize machine learning solutions end to end.Currently his interests lie in the latest trends in data science (Big Data, Spark, and Deep Learning), open source (Apache suite) and cloud delivery, taking time to self-learn and educate others about how such technologies can be utilized for different use cases.Through job experience, academic development, and self study, Michael has gained exposure to the following software, frameworks, and modeling techniques.Code Portfolio : https://github.com/chosun41/codeportfolioTechnical Skills:- SQL - R- Python - Hadoop- Hive- Spark- Oozie- Sqoop- Tableau- AWS- GCP- Git- Linux- Docker- Kubernetes- Cplex- MongoDb- Tensorflow/Keras- Terraform- Scala- Pytorch- AirflowModeling Techniques:- Text Analysis- Clustering/Factor Analysis- Neural Networks- Linear/Logistic Regression- Random Forests/Boosted Trees- OCR/Computer Vision- Social Network Analysis- PCA/SVD/Dimensionality Reduction- Recommender Systems- Survival Analysis/Customer Churn Analysis- Time Series Modeling- Optimization & Linear Programming- Record Linkage- GNN
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Machine Learning EngineerUber Nov 2024 - PresentSan Francisco, California, UsWorking for the Delivery Matching team -
Machine Learning EngineerEbay May 2022 - Nov 2024San Jose, Ca, Us• Created new machine learning features to add to our recommendation system and rank similar items on the view item page by utilizing Scala and Spark for offline ETL, data analysis, evaluation, and online inferencing.• Finetuned a Siamese Bert model in Pytorch to increase performance on title similarity scores for different languages.• Utilized the Springboot framework to incorporate and test APIs for feature extraction.• Transitioned data pipelines from Jenkins to Airflow.• Trained a graph neural network model on GCP to produce a new recall set based on item coviews. -
Lead Data ScientistIbm Jan 2022 - May 2022Armonk, New York, Ny, Us• Architected and productionized a customer attrition model using AWS services such as Sagemaker, Stepfunctions, and Lambda for a medical device company.• Developed overall data model and created SQL and Pandas scripts to read and write data to Snowflake.• Created Docker images to use in conjunction with Batch for data pipeline.• Utilized Gitlab to automate the CICD process for model code packaging and QA.• Defined IAM roles for services and users and created Cloudformation templates for reference architecture. -
Sr. Data ScientistIbm Jul 2019 - Dec 2021Armonk, New York, Ny, Us• Managed the development of a data pipeline for a state health department’s COVID operations and analytics workstreams, handling AWS Glue workflows, rearchitecting AWS services, augmenting the testing suite, and incorporating new data features in partnership with stakeholders.• Utilized PySpark to perform ETL for customized client extracts and data products, as well as to profile terabyte sized Hive tables for an automotive manufacturing company.• Created a data pipeline in support of a customer record linkage algorithm in AWS, incorporating tools such as Glue, S3, Spark, SNS, Redshift and Tableau to automate serverless daily workflows, send job notifications, and feed dashboards for a regional car dealership.• Automated the weekly migration of data from client’s on-prem sql server to Redshift using AWS Data Migration Services.• Managed the end to end design of overall solution by defining AWS services, detailing sizing requirements and cost considerations, creating data model, overseeing model development, and moving pipeline from development to production.• Developed a customer propensity model, using aggregated historical data, to score potential vehicle buyers which resulted in a 30% sales hit rate.
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Data ScientistIbm Feb 2018 - Jun 2019Armonk, New York, Ny, Us• Accessed Weather Company and Google Map APIs to incorporate weather and geolocation data in a Python application for a national retail chain.• Created data model, logic, and testing suite to populate CouchDB NoSQL databases for email notifications and UI backend.• Developed a production multi-objective optimization model using Cplex to improve delivery time, quality, and waste of product assembled by restaurant workers for a fast food company.• Incorporated IOT mqtt messaging protocol to capture and structure real time streaming POS data into SQL databases.• Used Docker for continuous delivery of code updates and run simulations.• Created a Flask REST api to simulate an accelerated clock for end to end testing.
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Analytics InternJohn Deere Jun 2017 - Aug 2017Moline, Il, Us• Created a customer segmentation scheme of a recent acquisition by k-means clustering and developed a Tableau dashboard for the Tactical Marketing team to pursue sales leads.• Identified factors that leads customers to purchase compact utility tractors by testing classification models in caret and sklearn.• Scraped webpage data on competitors’ product line using the Beautiful Soup library in Python.• Converted a SAS job onto the Hadoop platform using big data tools such as Sqoop, Hive, and Oozie, reducing job time of a marketing distribution list from 13 hours to a half hour. -
Graduate Student ConsultantGogo Oct 2016 - May 2017Chicago, Il, Us• Joined SQL data about customers and flights in addition to web click data from Adobe Analytics to build a Random Forest model, creating a predictive model for product purchase. -
Risk AnalystAci Worldwide (Formerly Red) Jan 2014 - Aug 2016Coral Gables, Florida, Us• Created a CART model that reduced the review rate of an online retailer’s sub-channel by 30% by identifying more efficient fraud rules.• Validated production data with clients for ETL processes according to data mapping documentation.• Created SQL reports and presentations detailing descriptive statics on client KPIs and fraud trends.
Michael Cho Skills
Michael Cho Education Details
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Northwestern UniversityData Science -
Duke University - The Fuqua School Of BusinessMaster Of Management Studies
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William & MaryInternational Relations Major & Economics Minor
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Rutgers University
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Middlesex College
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Yonsei University
Frequently Asked Questions about Michael Cho
What company does Michael Cho work for?
Michael Cho works for Uber
What is Michael Cho's role at the current company?
Michael Cho's current role is Machine Learning Engineer.
What is Michael Cho's email address?
Michael Cho's email address is mi****@****ibm.com
What schools did Michael Cho attend?
Michael Cho attended Northwestern University, Duke University - The Fuqua School Of Business, William & Mary, Rutgers University, Middlesex College, Yonsei University.
What are some of Michael Cho's interests?
Michael Cho has interest in Mma, Cooking, Soccer, Professional Gaming, Basketball, Texas Hold'em, International Development.
What skills is Michael Cho known for?
Michael Cho has skills like Data Analysis, Sql, Python, R, Data Science, Hadoop, Tableau, Spark, D3.js, Java, Mdx.
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