Arinze Christopher
Data scientist (ML)
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About
As a data scientist, my passion lies in utilizing cutting-edge technology to tackle complex challenges and transform innovative ideas into practical solutions. I thrive on turning client requirements into insightful products that drive meaningful results, all while utilizing data-driven tools to maximize impact.
With extensive experience in Python, R, and Java, as well as tools like Tensorflow, Spacy, and NLTK, I have the skills and expertise necessary to navigate even the most complex datasets. Additionally, my proficiency in visualization tools such as matplotlib, seaborn, altair, and ggplot allows me to create impactful, data-rich graphics that help drive decision-making.
I am well-versed in SQL, Apache Pig, and PySpark, and have experience working with databases including Neo4j, MongoDB, and MySQL. Furthermore, my knowledge of web scraping tools such as Selenium and Beautifulsoup allows me to extract valuable insights from a variety of sources.
Overall, I am dedicated to using my expertise in data science to drive real-world results and am always eager to take on new challenges and opportunities.
Experience
- Worked as an Associate Data Scientist at Competition and Markets Authority, London, UK, from July 2021 - Sep 2022.
- Led the development of a data visualization platform, implemented natural language processing techniques, and reduced the time taken to go through large documents.
- Designed and implemented a natural language processing system that analyzed thousands of documents to identify and investigate anti-competitive behavior by companies.
- Worked as a Co-founder & Data Scientist at BACE Technologies, from May 2018 - Sep 2020.
- Managed resource requirements to meet the needs of clients, developed RESTful API endpoints for facial recognition, and collaborated with data engineers to deploy machine learning models in production.
- Worked as a Data and Reporting Developer (Intern) at Signal Alliance, from Mar 2017 - July 2017.
- Gathered user requirements, transformed them into database designs, and developed reporting and visualization tools using PowerBI.
Education
Gained practical experience in using various analytical, statistical, and programming tools for data mining, warehousing, management, and big data analysis and visualization.
Completed an entrepreneurship program at Meltwater Entrepreneurial School of Technology, Ghana, in Aug 2017 - Aug 2018.
Gained practical skills in software development, business modeling, sales, marketing, leadership, and communication.
Completed BENG in Electronic Engineering at the University of Nigeria, Enugu, in Sep 2009 - Aug 2014.
Majored in automation and process control, gained practical skills in programming micro-controllers, and automating industrial processes using sensors and actuators.