Jeffrey Esedo

Data Scientist / Data Analyst

Abuja, NG.

About

Driven by a deep fascination with the intersection of life sciences and data, I'm an aspiring Data Scientist and Bioinformatician eager to contribute to groundbreaking research and development in healthcare and beyond. My academic foundation in Genetics and Biotechnology from the University of Calabar provided me with a strong understanding of biological systems, while specialized training in Artificial Intelligence in Bioinformatics from Taipei Medical University ignited my passion for applying data-driven approaches to solve complex biological challenges.

My professional journey has provided me with a diverse skill set. As a Data Scientist Intern at Coformula Inc., I developed web scraping bots using Python (Selenium, Scrapy) to extract crucial data from medical and pharmaceutical websites like RXList and NIH, subsequently cleaning, processing, and visualizing large datasets. This experience honed my Python programming skills and instilled in me the importance of data quality and integrity. In other roles, I have developed RESTful APIs, built data pipelines for secure cloud databases, analyzed and visualized data using tools like Excel, Power BI, and Tableau, and even annotated 1800 images for image recognition projects. These experiences have strengthened my technical abilities in programming, data analysis, and database management, as well as crucial soft skills like teamwork, communication, and problem-solving.

I'm currently focused on expanding my expertise in machine learning and bioinformatics through personal projects on Kaggle and Zindi, actively participating in data science communities, and pursuing relevant certifications, including a recent Data Science certification from NITDA. My goal is to leverage my skills in AI/ML to contribute to advancements in areas like genomics, drug discovery, and personalized medicine, ultimately making a tangible impact on human health and well-being. I am actively seeking opportunities to apply my skills in a challenging and collaborative environment.

Connect with me to discuss data science in life sciences, bioinformatics, or potential collaborations. I'm always open to learning and exploring new opportunities.

Work

MedCore

Data Scientist | Backend Engineer

Abuja, FCT, Nigeria

Feb 2026→ Present

Startup | Hackathon

Summary

I am responsible for designing and implementing a FHIR-aligned, multi-tenant healthcare interoperability platform using FastAPI, Supabase, PostgreSQL, and modern healthcare architecture patterns. And for creating the clinical data, security, interoperability, workflow, and infrastructure foundations required for MedCore to evolve into a scalable digital health ecosystem serving patients, practitioners, hospitals, and future AI-powered healthcare services.

Highlights

Led the architecture and development of a healthcare interoperability platform to address fragmented patient records and limited data portability across healthcare providers; designed and implemented a FHIR-aligned backend supporting Patients, Practitioners, Care Teams, Observations, Conditions, Medication Requests, Appointments, and Consent resources, establishing the foundation for scalable clinical workflows and future interoperability.

Built a multi-tenant SaaS architecture for healthcare organizations requiring secure separation of hospital data while enabling patient-centered record sharing; designed organization onboarding, practitioner assignment, tenant isolation, and organization-scoped authorization models, enabling secure multi-facility operations from a single platform.

Engineered healthcare-grade access control and consent management systems to address privacy, compliance, and patient ownership requirements; implemented role-based access control (RBAC), patient access verification, consent-driven data sharing, and audit-ready authorization workflows, significantly strengthening platform security and governance.

Designed and optimized a FHIR-aligned PostgreSQL data architecture to support complex clinical data and future interoperability requirements; leveraged relational modeling, JSONB storage strategies, indexing, and resource-based schemas to improve flexibility, scalability, and standards compliance.

Developed production-ready REST APIs using FastAPI and Supabase to support clinical operations and healthcare workflows; implemented modular service layers, schema validation, business logic enforcement, and secure integration with authentication, database, and storage services.

Established end-to-end clinical workflow orchestration by connecting appointment scheduling, encounters, observations, diagnoses, and medication management into a unified workflow model, improving system consistency and supporting real-world healthcare delivery processes.

Implemented secure authentication and identity management infrastructure using Supabase Auth and backend service-role operations; designed user onboarding, profile management, practitioner onboarding, role assignment, and organization membership workflows to support scalable user management.

Prepared the platform for future AI and interoperability initiatives by designing standards-compliant clinical data structures and resource relationships capable of supporting SMART-on-FHIR integrations, clinical decision support, analytics, and retrieval-augmented generation (RAG) systems.

Diaken

Data Scientist | Backend Engineer

Abuja, FCT, Nigeria

Oct 2025→ Dec 2025

Hackathon

Summary

Contributed to the development of an innovative, accessible healthcare application designed to democratize diabetes risk screening across low-resource environments. DIAKEN is a USSD (Unstructured Supplementary Service Data) platform that enables users with any mobile phone—regardless of internet connectivity—to receive personalized diabetes risk assessments based on key health metrics.

Highlights

Contributed to a healthcare innovation project delivering accessible diabetes screening to users via USSD technology, enabling access across any mobile network without internet requirements

Supported development of the backend system using Python and Azure Function App, implementing serverless architecture for scalable API endpoints

Participated in machine learning model development utilizing Decision Tree Algorithm for accurate diabetes risk prediction and inference pipelines

Collaborated on USSD integration with Africa's Talking platform, enabling seamless SMS-based user interface and real-time risk screening delivery

Assisted in end-to-end project delivery from dataset preparation (Kaggle diabetes dataset) through model training, backend deployment, prototype testing, and documentation

Worked within a collaborative team environment using Git for version control and GitHub for documentation

Technologies: Python, Azure Machine Learning, Azure Function App, USSD/SMS APIs, Git/GitHub, Machine Learning (Decision Trees)

Kagglex

Mentee | Data Science

Jul 2023→ Nov 2023

Mentorship

Summary

A 16 week long program that offer educational resource and mentorship at no cost in Data Science and Domain specific Data Related Sectors, with the sole purpose of pairing early Kaggler/Data Scientist to More Advance Professionals in the industry, for transfer of knowledge and experience.

Highlights

Participated in Kaggle competitions to develop machine learning models for image recognition (I'm something of a Painter Myself) and pattern recognition (MNIST Handwritten Digit Recognition).

Utilized Pandas, Matplotlib/Seaborn, and Scikit-Learn to analyze, visualize, and pre-process large datasets, focusing on efficient data exploration and manipulation, visualize data patterns, data cleaning, and using recognized data patterns in model building.

Developed and evaluated machine learning models using scikit-learn and TensorFlow.

Navigating the Kaggle platform as a place to build skill, experience, and knowledge in the Data Science space from creating datasets, participating in competitions, and publishing notebooks and research.

Cecure Intelligence Limited

Data Engineer

Remote, Nigeria

Aug 2022→ Dec 2022

Graduate Internship

Summary

As a Graduate Intern (Data Engineer) at Cecure Intelligence Limited, I contributed to the development of a cloud-based data storage SaaS application. Working within a collaborative team of engineers, I built and optimized backend systems leveraging AWS technologies to ensure secure, scalable, and efficient data management. My responsibilities included designing RESTful APIs via AWS API Gateway, implementing serverless data pipelines using AWS Lambda and Step Functions, and architecting databases with AWS DynamoDB and S3. I also customized machine learning models on AWS SageMaker and Rekognition to automate document categorization and image analysis. Throughout the internship, I actively participated in Scrum-based agile development, ensuring timely delivery of high-quality solutions.

Highlights

Joined a cross‑functional engineering team tasked with building the backend of a cloud‑based data storage SaaS platform.

Develop secure, scalable data infrastructure and integrate machine learning capabilities to enhance user data management.

Built RESTful APIs using AWS API Gateway and Cognito for secure communication between frontend and backend. Engineered serverless data pipelines with AWS Lambda and Step Functions to automate data processing and routing. Designed and implemented databases using AWS DynamoDB and S3, optimizing for scalability and reliability. Customized AWS SageMaker and Rekognition models to classify document types and analyze image data for user detection. Collaborated in a Scrum environment, contributing to sprint planning, code reviews, and iterative releases.

Delivered a robust, cloud‑native backend architecture that improved data processing efficiency and enabled intelligent data categorization.

Coformula Inc.

Machine Learning Engineer

Remote, Singapore

Feb 2021→ Mar 2021

Internship

Summary

As a Machine Learning Engineer Intern at Coformula Inc., I contributed to the development of an AI‑powered tool designed to revolutionize drug formulation by drastically reducing trial‑and‑error experiments, development timelines, and costs in the pharmaceutical industry. Working within a team of engineers and data scientists, I scraped and processed large‑scale pharmaceutical datasets from sources such as RxList, PubMed, and OPSIN, building automated Selenium bots to extract critical drug information including SMILES strings and IUPAC nomenclature. I cleaned and visualized this data using Python (Pandas) to ensure quality and usability for predictive modeling. I then developed and optimized machine learning models that identified suitable excipients for active drug ingredients, directly supporting Coformula’s mission to cut formulation experiments from thousands to fewer than 20 and reduce development time from years to months. My work helped advance the company’s AI solution, which has already attracted pilot partnerships and letters of intent from leading pharmaceutical organizations.

Highlights

Joined a team of engineers and data scientists tasked with accelerating drug development by leveraging machine learning and large‑scale pharmaceutical data.

Collect, clean, and model drug data to predict suitable excipients for active ingredients, reducing formulation time.

Scraped data for over 1,000 drugs from medical and pharmaceutical sources (RxList, PubMed, OPSIN). Built Selenium bots to automate extraction of drug properties including SMILES strings and IUPAC nomenclature. Cleaned, wrangled, and visualized datasets using Python (Pandas) to ensure accuracy and readiness for modeling. Developed and optimized machine learning models to predict excipients for drug active ingredients. Collaborated closely with data scientists in an agile team to integrate models into workflows.

Delivered predictive models that streamlined excipient selection, contributing to reduced drug development timelines and improved efficiency in pharmaceutical data processing.

Bezalcode Technologies

Information Technology Support Officer

Abuja, Federal Capital Territory, Nigeria

Oct 2015→ Apr 2017

Contract

Summary

Provided IT support and systems assistance.

Highlights

Installed verification software for clients (government agency) to capture bio and demographic information for the countries pension institution in several states.

Join in the organization of trainings for data entry staff on how to use the data capture software and hardware. agency.

After capture period, I was tasked with securing and transport of the data capture hardware.

Provide support with technical issues raise by data entry staff on any software or hardware issue.

Setup and manage hardware and capture systems, devices, and networks for the capture of bio and demographic data for pension management in several states.

Federal University Lokoja

Laboratory Technologist

Lokoja, Kogi, Nigeria

Dec 2013→ Nov 2014

Summary

Managed laboratory technologies for university lab.

Education

University of Calabar

Calabar, Cross River, Nigeria

Oct 2006→ Apr 2013

Bachelor's Degree Biotechnology & Genetics

Certificates

Certificate of Graduate Internship in International Development

Dataville Research LLC

AWS Generative AI Applications

Jun 2025

Amazon Web Services

AWS Generative AI Applications

Jun 2025

Amazon Web Services

Business Analysis Foundations: Business Process Modeling

Aug 2024

Critical Thinking for Better Judgment and Decision-Making

Jun 2024

Developing Your Emotional Intelligence

Jun 2024

Excel with Copilot: AI-Driven Data Analysis

May 2024

Copilot in PowerPoint: From Prompt to Presentation

May 2024

Introduction to Prompt Engineering for Generative AI

May 2024

AI Productivity Hacks to Reimagine Your Workday and Career

May 2024

Generative AI Skills for Creative Content: Opportunities, Issues, and Ethics

May 2024

Introduction to Artificial Intelligence

May 2024

Learning Microsoft 365 Copilot

May 2024

Generative AI: The Evolution of Thoughtful Online Search

May 2024

Ethics in the Age of Generative AI

May 2024

Streamlining Your Work with Microsoft Copilot

May 2024

What Is Generative AI?

May 2024

Certificate of Completion - Introduction to Bioinformatics Course

Jan 2024

OmicsLogic

RNA Biology with Eterna

Jan 2024

Stanford University

Applied Data Science Lab

Dec 2022

WorldQuant University

Certificate of Achievement-Artificial Intelligence in Bioinformatics

Jan 2022

Taipei Medical University

Amazon Web Services Security Foundation Certificate of Participation

Oct 2021

Amazon Web Services (AWS)

Jeffrey Esedo

Data Scientist / Data Analyst

About

Work

MedCore

Diaken

Kagglex

Cecure Intelligence Limited

Coformula Inc.

Bezalcode Technologies

Federal University Lokoja

Education

University of Calabar

Certificates

Certificate of Graduate Internship in International Development

AWS Generative AI Applications

AWS Generative AI Applications

Business Analysis Foundations: Business Process Modeling

Critical Thinking for Better Judgment and Decision-Making

Developing Your Emotional Intelligence

Excel with Copilot: AI-Driven Data Analysis

Copilot in PowerPoint: From Prompt to Presentation

Introduction to Prompt Engineering for Generative AI

AI Productivity Hacks to Reimagine Your Workday and Career

Generative AI Skills for Creative Content: Opportunities, Issues, and Ethics

Introduction to Artificial Intelligence

Learning Microsoft 365 Copilot

Generative AI: The Evolution of Thoughtful Online Search

Ethics in the Age of Generative AI

Streamlining Your Work with Microsoft Copilot

What Is Generative AI?

Certificate of Completion - Introduction to Bioinformatics Course

RNA Biology with Eterna

Applied Data Science Lab

Certificate of Achievement-Artificial Intelligence in Bioinformatics

Amazon Web Services Security Foundation Certificate of Participation

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