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Genesis is a senior software engineer and data scientist with over half a decade of experience building data-driven solutions. He has worked with fintech companies like Global Payex and international NGOs such as Greenpeace, applying AI/ML to solve complex challenges. Genesis holds a master’s degree in Data Science from the University of Edinburgh and a bachelor’s degree in Computer Engineering from Ashesi University. He is the founder of Shedoung Technologies, where he leads the development of innovative AI and Tech solutions. His passions lie at the intersection of AI, data, and technology.…Genesis is a senior software engineer and data scientist with over half a decade of experience building data-driven solutions. He has worked with fintech companies like Global Payex and international NGOs such as Greenpeace, applying AI/ML to solve complex challenges. Genesis holds a master’s degree in Data Science from the University of Edinburgh and a bachelor’s degree in Computer Engineering from Ashesi University. He is the founder of Shedoung Technologies, where he leads the development of innovative AI and Tech solutions. His passions lie at the intersection of AI, data, and technology.

Genesis Tangong Nchopereu

Data Scientist, Full Stack Developer, Data Analyst, +2

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Genesis is a senior software engineer and data scientist with over half a decade of experience building data-driven solutions. He has worked with fintech companies like Global Payex and international NGOs such as Greenpeace, applying AI/ML to solve complex challenges. Genesis holds a master’s degree in Data Science from the University of Edinburgh and a bachelor’s degree in Computer Engineering from Ashesi University. He is the founder of Shedoung Technologies, where he leads the development of innovative AI and Tech solutions. His passions lie at the intersection of AI, data, and technology.…Genesis is a senior software engineer and data scientist with over half a decade of experience building data-driven solutions. He has worked with fintech companies like Global Payex and international NGOs such as Greenpeace, applying AI/ML to solve complex challenges. Genesis holds a master’s degree in Data Science from the University of Edinburgh and a bachelor’s degree in Computer Engineering from Ashesi University. He is the founder of Shedoung Technologies, where he leads the development of innovative AI and Tech solutions. His passions lie at the intersection of AI, data, and technology.

Available to hire

Genesis is a senior software engineer and data scientist with over half a decade of experience building data-driven solutions. He has worked with fintech companies like Global Payex and international NGOs such as Greenpeace, applying AI/ML to solve complex challenges. Genesis holds a master’s degree in Data Science from the University of Edinburgh and a bachelor’s degree in Computer Engineering from Ashesi University. He is the founder of Shedoung Technologies, where he leads the development of innovative AI and Tech solutions. His passions lie at the intersection of AI, data, and technology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

French

Intermediate

Work Experience

AI Tutor - STEM at Invisible Technologies – Cohere team

October 1, 2023 - September 30, 2024

Engaged in diverse writing assignments to refine Cohere’s generative AI model, Coral. Curated high-quality training data, tasks and conversations, then used them to train and evaluate AI model’s output against set standards. Completed hundreds of tasks from file formatting to advanced mathematics with a Quality control score of 5/5. Interpreted, analyzed, and executed tasks based on given instructions.

ML Lead & Data Scientist at Global Payex

November 1, 2020 - November 1, 2024

Built cutting-edge machine learning models for document extraction used by JPMC and other banks. Created ML trust and safety policies and led a team of data labelers to efficiently train our models. Developed and deployed ML and custom named-entity recognition (NER) models for invoice and payment advice analysis, resulting in a 40% improvement in accuracy and reduced processing time. Collaborated with researchers and engineers to enhance OCR data extraction algorithms, achieving a 38% increase in efficiency and a 30% increase in accuracy. Optimized data preprocessing pipelines, reducing invoice processing time by 60% and enhancing data quality. Mentored junior data scientists, providing technical guidance and fostering a collaborative environment.

Software Developer & Data Analyst at Liquid Financial Service Ltd

June 1, 2019 - October 31, 2020

Developed data pipelines for collecting and storing user data and improved various feature implementations. Applied computer vision algorithms to analyse customer usage patterns, uncovering insights that informed product optimization strategies and increased user engagement by 25%. Conducted ethnographic research on important life-cycle milestones that people save money toward in Ghana, guiding product discovery and market fit.