Kevin K. Le [email protected] | Linkedin.Com/In/Le-Kevin
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Kevin K. Le [email protected] | linkedin.com/in/le-kevin Education University of California, Berkeley 08/17- 05/21 B.S. Electrical Engineering and Computer Science Relevant Coursework: CS 61B Data Structures CS 170 Algorithms and Intractable Problems (including current) CS 161 Computer Security CS 61C Machine Structures Stat 134 Concepts of Probability EECS 127 Optimization Models in Engineering Stat 135 Concepts of Statistics EE 16A/B Lin Alg. and Diff. Eq Equivalent Technical Experience Amazon-- Software Development Intern 5/19 - 8/19 ➢ Implemented second most popular payment method in Japan, Mobile Carrier Billing, using Kotlin, Groovy, Google Guice, and Bango (payment processor). ➢ Impacted all 8.2 million payment instances for Amazon in Japan and processes on average ~250 requests/minute. ➢ Enabled team to save months of time when rotating credentials and created easier access to logs for oncall. ➢ Implemented comprehensive unit/integration tests and metrics. Piedmont Analytics-- Founder, Data Science Consultant, PM 10/18 - 4/19 ➢ Built the entire data extraction pipeline using bash scripts, python pandas and related packages, to process and generates a concise report of requested information for Flo AI, saving them from hundreds of hours of using excel to manually produce information from traffic sensor data. ➢ Automate identification and cleaning of incorrect data entries in 1.8 TB dataset of traffic sensor measurements for Flo AI using python pandas and a smaller subset of the data. ➢ Manage a team of five to effectively identify and fulfill data service needs of clients. Kyocera-- Data Science Consultant 09/18 - 11/18 ➢ Optimize and supplement business strategies/intelligence through Machine Learning and Natural Language Processing on printer sensor data. ➢ Applied clustering algorithms such as Means Shift Clustering, K Means, Mixture Model, Hierarchical Clustering to cluster printer usages through tools such as Pandas and Scikit-learn. ➢ Used these clusters to determine classifications upon which to build business strategies and intelligence. Black Knight-- Data Analytics and Software Development Intern 05/18 - 08/18 ➢ Started to develop an artificial neural net to predict future housing prices using Black Knight Data, zeppelin, python, hive, SQL, tensorflow, and scikit learn. ➢ Ensured stable UI deployments through integration tests that simulate front end inputs using JUnit and Selenium. ➢ Integrated the tests to automatically run when deployed using jenkins, maven, and shell scripts. ➢ Developed and configured a penetration test remediation solution through the creation of a restricted bash shell and chroot jail for the zeppelin service user from HDP. ➢ Contributed another penetration testing solution of containerizing the ambari service and zeppelin. ➢ Solved backend bugs for the delete method of the REST API through Solr, postman, and Java. EE16B Audio Powered Car 02/18 - 05/18 ➢ Created a closed loop feedback system so that motors constantly adjust for precise movements including turns. ➢ Classified frequency responses to words that trigger car movement using PCA classification and K-Means clustering. Technical Skills Advanced: Java, Kotlin, Groovy, Python, R, Linux/Bash Proficient: SQL, C Learning: Javascript, HTML Software Tools: Google Guice, Mockito, GSON Hortonworks Data Platform (Hadoop, Spark, Hive, etc.) Flask, ExpressJS, NodeJS, Postgres, AWS R Packages (dyplr, ggplot, etc), Pandas, Scikit Campus Organizations Berkeley Data Science Society -- Analytics Committee 09/18 - 05/19 ➢ Develop and train models to work on and consult on problems and tasks provided by industry. ➢ Past Projects: Kyocera (Mentioned Above), Edify AI .