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Chimmene Gaius-Assor

@chimmenegaius-assor

Growth Data Analyst at Moniepoint who built MonieWorld’s BigQuery and Superset BI layer, from live growth dashboards to automated reporting.

Nigeria

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At Moniepoint Inc., I built the BI layer for MonieWorld on BigQuery and Superset, including dashboards for growth KPIs, customer support and product reporting. I also delivered live growth and revenue dashboards and an automated growth-metrics report.

I checked metric integrity before results reached stakeholders, catching errors that affected monthly active users, acquisition-cost reporting and BI chart trends. When data couldn’t support a reliable answer, I documented the gap and its implications rather than relying on a workaround.

At FundusAi, I led the team building a Llama 3 and LangChain RAG chatbot prototype to help people with diabetes query their health data in plain language. Earlier, at Decoded, I developed regression, classification and time-series models, and at Hamoye I led a team analysing credit-approval requests and deployed its prediction model as a Streamlit application.

Experience

Work history, roles, and key accomplishments

Growth Data Analyst

Moniepoint Inc.

Aug 2024 - Sep 2026 (2 years 1 month)

Built and maintained a Superset dashboard suite on BigQuery covering growth KPIs, customer-support operations, and product reporting. Caught structural metric errors before they reached leadership and designed a holdout test for an incentive campaign.

SQL BigQuery Apache Superset Data Quality Experimental Design Cohort Analysis Retention Analysis Funnel Analysis RFM Scoring Data Reconciliation

Data Scientist

FundusAi

Jan 2024 - Nov 2024 (10 months)

Led the team building a retrieval-augmented generation (RAG) chatbot prototype on Llama 3 and LangChain, designed to help people with diabetes query their own health data in plain language. Delivered a working prototype and local demo.

RAG LLaMA 3 Lang Chain Python Prototyping

Data Scientist

Decoded

Mar 2022 - May 2024 (2 years 2 months)

Developed and implemented regression, classification and time-series models in Python and SQL, applying data cleaning, preprocessing and feature-selection practices to improve model performance.

Python SQL regression Classification Time Series Data Cleaning Feature Selection

Data Engineering Intern

Hamoye

Aug 2021 - Oct 2021 (2 months)

Led a 15-person team analysing credit-approval requests and building a model to predict approval outcomes. Deployed the model as a Streamlit application.

Python Streamlit Machine Learning Team Leadership

Education

Degrees, certifications, and relevant coursework

University of Ilorin

Bachelor of Engineering, Computer Engineering

2016 - 2021

Grade: 4.37 CGPA

Bachelor of Engineering in Computer Engineering with a CGPA of 4.37, including coursework in Engineering Mathematics, Statistics, and Artificial Intelligence.