Kevin Vasquez
***** ******** **** ****, ******* TX, 77077
adm3ig@r.postjobfree.com +44-73-983***** linkedin.com/in/kevinavasquez/ github.com/KVasq EDUCATION
King’s College London — Department of Engineering, London, UK B.Eng (Hons) of Computer Engineering Sept. 2017 – Present Predicted 2:1 Honours - Expected Graduation Date: Summer 2021 Dhahran High School, Dhahran, Saudi Arabia
American Honors Diploma w/ 6 Advanced Placement Credits Sept. 2013 – May. 2017 AP: Physics 1 & 2, Calculus AB, Comp Science, Biology, English; SAT: 1450/1650 DATA SKILLS
Technical Skills: Python, SQL, and R. Experience in Machine Learning, Data Analysis, Technical Writing, Web-Dev Relevant Courses: Machine Learning, AI Planning, Computer Vision, Internet Systems, Data Analysis with R WORK EXPERIENCE
SiriusInsight.AI, London, UK
Data Analyst & Engineer Internship (Unix, React.JS, D3.js, PostgreSQL) Mar. 2019 – Oct. 2019
Constructed end-to-end data pipeline for marine traffic, from hardware prototype to web-app front-end with data team; led directly by primary stakeholders
Instructed to retrieve signals from test ship sensors and implement them into a PostgreSQL database
Created real-time data analysis tools which displayed ship heading and activity along with product perfor- mance to clients through React.JS dashboard
Ignite Hubs Code Academy, London, UK
Coding Youth Instructor (Python, HTML/Javascript, Scratch)(Part-Time) Sept. 2019 – Present
Instruct south east London children through exercises that teach fundamental programming concepts
Design lessons for different languages that progressively introduce new tools to express their creativity King’s College London, London, UK
Student Ambassador (Part-Time) Oct. 2018 – Present
Assist in management and team coordination of prestigious and regular events through conference set-up and guest accommodation
Serve in various public relation roles, from campus guide to public speaker for prospective students DATA SCIENCE PROJECTS
Meta-Learning for General Election State Poll Prediction: Python (TensorFlow/Keras, pandas) Final Year Independent Project — Project Supervisor: Prof. Osvaldo Simeone
Gained experience cleaning polling, economic, and demographic data and researching political forecasting methodology for my final year engineering dissertation
Used state-of-the-art deep learning techniques such as meta-learning and Seq2Seq-RNN architecture to find social correlations between states and create enhanced predictions of upcoming polling averages. Machine Learning Trading Bot: Python (sagemaker, pandas, scikit-learn, simfin), PostgreSQL Group Freelance Project
Used web-scrapped NYSE public company documents and data via API, built a model which analyzed time-series financial ratios to do stock price projection through clustering and neural network classification
Gained experience with AWS Sagemaker, S3, and RDS PostgreSQL to understand cloud-hosting and scaling Q-Pacman Agent: Python (numpy)
Machine Learning & Pattern Recognition Course Final Project
Implemented a Q-learning reinforcement algorithmcontrollerwhichdetermines optimal Pacman movements in any grid-based level according to game state (score, enemy location, level architecture, etc.)
Agent succeeded every attempt of test levels after given training period (2000/10 training/assessment episodes per level)
Interests: Music Production, Politics, Rock Climbing, Social Impact, STEM Youth Education, Strategy Games, Swimming