Ovando Carter MSci., PhD.
Data Engineer
Portfolio
Activities and Honours
Hung Kuen Kung Fu 2003 – 2024 (Brown Belt)
Summary
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Python3,
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NumPy,
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pickle,
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iterTools,
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pandas,
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matplotlib,
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pyFirmata,
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mapbox,
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plotly,
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PySpark (in Databricks),
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Java,
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C++,
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MS SQL/SQLite3,
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HiveQL/Hadoop,
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MongoDB,
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Influxdb, Telegraf,
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Command Line,
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(Unix/Linux),
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Docker,
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GitHub,
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reverse Monte Carlo Method
Entrepreneurial Awards
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2019 Young Black Business Awards, YBBA (Nominated)
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2018 "Win-in-Suzhou, Venture Contest For International Entrepreneurs", (2nd Place Winner)
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Panacea Innovations BIOSTAR2017 Hi-tech competition (Semi-finalist)
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China-UK 2016 HISTAR Technology Innovation competition (Winner)
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2014 QMUL Grow It Award (Winner)
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2013 QMUL Try It, Award (Winner)
Employment History
June 2022 - January 2023
Data Engineering Consultant FDM Group, London | London, England
Jan 2021 – Jan 2022
Machine Learning Engineer London Parkour Project | LONDON, England
March 2020 - June 2022
Junior Developer Tenth Matrix Ltd, London | London, England
September 2014 - May 2019
PhD Research Scientist Queen Mary, University of London
September 2014 - May 2017
Undergraduate Physics Tutor Queen Mary, University of London
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Tech stack: SQLite3/MS SQL (using Oracle), HiveQL/Hadoop (Using an Azure VM), Unix/Linux, Python3 (NumPy, Pandas, Lambda, MatplotLib, seaborn), Databricks (using pyspark), Excel.
Neural Network Development for Parkour Movement
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Programmed Arduino-Nano, and ESP32 microcontrollers in combination with MyoWare Muscle sensors to collect physiological data on client's physical activity during lessons. Data sent to influxdb databases via wifi for later analysis and retrieved using Telegraf.
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Development and training of binary Neural Networks using Python and NumPy for deep learning of stored data.
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Collaborating with other developers using GitHub and Zoom/MS Teams.
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Tech Stack: Python3 (using NumPy, pickle, iterTools, pandas, matplotlib and pyFirmata), C++, InfluxDB, Telegraf, Docker.
Automating
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Automating cash flow records based on .csv files from the bank statements, and Eventbrite bookings.
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Led on to an application of machine learning based on client spending habits.
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Tech stack: SQLite3, Python3 (libraries: os, numpy, pandas, matplotlib, seaborn), Unix
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Development of a CRM
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Tech Stack: Yaml, InfluxDB, Telegraf, Docker, 4D, some PHP, MongoDB, Mongose, NodeJS, Python3
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Presenting my research at weekly team meetings and international conferences.
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Python3, Unix/Linux, SQLite3, Apocrita (heterogeneous HPC cluster 300 nodes and 13,500 cores).
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reverse Monte Carlo Method.
Teaching Undergraduate Students the following subjects:
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Mathematical Techniques 2,
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Statistical Physics and Data analysis,
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and Physics of Energy and Environment.
Education and Training
April 2023
AgilePM | Foundation
APMG International, London
July 2019
Ph.D. | Physics
Queen Mary University of London, London
July 2014
Master of Science | Physics
Queen Mary University of London, London
Certifications
Characteristics of a Great Scrum Master, LinkedIn Learning June 2022
Codecademy Pro 2020
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Learn the Command Line Course - Nov
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Learn Git & GitHub Course - Sept
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Building Interactive JavaScript Websites Course - July
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Learn Python 3 Course - June
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Learn Java Course – June
Let's Get
Social
