Chiemela Chinedum

Experience

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  Sydani Group

  Jan 2022 - Jan 2024

  - Co-developed a dashboard for the recruitment of skilled birth attendants in Nigeria with Power BI- Trained several data officers and research assistants on the use of Power BI for the assessment of their healthcare facilities- Conducted comprehensive analysis of quantitative national and sub-national data on primary health care facilities in Nigeria, assessing up to 80 indicators to glean insights into the healthcare landscape (Power BI, SQL and Python)- Led the development of surveys and interview guides for both qualitative and quantitative data collection Show less

  • Management Consultant – Analyst

    May 2022 - Jan 2024

  • Graduate Intern - Analyst

    Jan 2022 - May 2022
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  Kaggle

  Dec 2022 - Apr 2023

  Data Scientist

  A mentorship program for historically marginalized people to increase representation in data science, create career opportunities, and develop individual growth

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  Dsm-firmenich

  Nov 2023 - Feb 2024

  Analyst
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  Mobalytics

  Mar 2024 - May 2024

  Data Analyst

  - Conducted in-depth market research within the gaming industry, exploring diverse genres and trends to identify opportunities for growth and innovation.- Leveraged immersive gameplay experiences to gain profound insights into player psychology, preferences, and behaviour.- Utilized a variety of research methodologies, including surveys, interviews, and data analysis, to gather and analyze market data effectively.- Developed comprehensive reports and presentations to communicate findings and recommendations to key stakeholders. Show less

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  CoreDataEngineers

  Aug 2024 - Nov 2024

  Data Engineer

  - Developed and automated a daily ETL pipeline using Bash scripting to extract, transform, and load data from CSV files by scheduling the process through cron jobs.- Integrated PostgreSQL databases by writing Bash scripts to iterate over CSV files and load them into a PostgreSQL database for analysis.- Streamlined data pipelines by automating data cleaning and preprocessing techniques such as; renaming and filtering columns in CSV files, improving efficiency by 80%- Conceptualised and designed a comprehensive data pipeline that addresses data ingestion, processing, storage, and analysis for a healthcare organization, "CoreHealthCare," to handle their increasing volume of patient data, clinical records, operational metrics, and enable real-time analytics to support decision-making- Extracted and processed API data using Python, integrated with orchestraton tools for end-to-end pipeline automation- Developed Terraform scripts to provide and manage cloud resources for data pipeline infrastructure. Show less

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  Scale AI

  Sept 2024 - Jun 2025

  AI Trainer

  Key Responsibilities: • Designed domain-specific questions and datasets while evaluating AI-generated responses across coding, mathematics, science, and general knowledge for factual accuracy, relevance, and logical consistency. • Developed and evaluated Reinforcement Learning from Human Feedback (RLHF) projects focusing on multi-modal AI applications, including Image-to-Text, Text-to-Audio, and Video-to-Text tasks to enhance model performance and reliability. • Created structured evaluation rubrics for long-context documents and conducted adversarial testing on complex puzzles to challenge AI models' creativity, problem-solving abilities, and real-world application alignment. • Provided comprehensive feedback on AI outputs, identifying strengths and improvement areas while maintaining consistent quality standards and project deadlines in a self-directed work environment. • Participated in specialised training sessions and collaborated with expert communities to stay current with evolving AI technologies and best practices.Key Achievements: • Contributed to AI technologies used by millions worldwide, directly shaping the future of human-AI interaction through hands-on model training and prompt engineering. • Advanced analytical and research capabilities while working with state-of-the-art multi-modal AI systems, enhancing model comprehension and factual consistency across diverse industry applications. • Pioneered adversarial testing methodologies and evaluation frameworks that improved AI model adaptability and reliability for complex, real-world challenges. Show less

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  Tudor International Freight

  Oct 2024 - Mar 2025

  Data Scientist

  This is my dissertation-based project as a data scientist with Tudor International Freight Limited.- Integrated and cleaned historical CRM data from HubSpot and Sage systems, preparing comprehensive datasets for machine learning analysis - Designed and implemented multiple machine learning models, including Random Forest, AutoML, XGBoost, Logistic Regression, HistGradient Boosting Classifier and Neural Networks (TensorFlow) to forecast customer quote conversion likelihood, achieving superior performance with XGBoost in predicting conversion probabilities.- Conducted advanced feature engineering with SHAP to identify key variables influencing quote conversions, with feature importance analysis revealing pricing strategies and customer interaction patterns as critical conversion drivers.- Performed comprehensive model comparison and validation processes to ensure reliable prediction accuracy- Delivered actionable insights through predictive analytics that enabled data-driven decision-making for lead prioritisation, resource allocation optimisation, and conversion strategy enhancement in logistics and supply chain operations.- Contributed to the expanding research on predictive analytics applications in supply chain industries by developing a reproducible modelling framework applicable to similar logistics and freight management operations. Show less

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  20:20 Financial Coaching Limited

  Apr 2025 - Jun 2025

  Data Scientist

  • Developed a comprehensive psychometric assessment framework to evaluate users’ financial behaviours and attitudes, facilitating the development of personalised financial coaching programs• Developed a dynamic user avatar system with Generative AI that integrates psychometric test results and future self-analysis, enabling users to visualise their financial goals• Created interactive data visualisation charts to present the user’s expenditure with Python• Developed a recommendation system that personalised financial coaching pathways based on user behaviour patterns and psychometric profiles• Deployed the website to Google Cloud Platform (GCP), which scaled to accommodate increasing volumes while maintaining performance Show less