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Kwabena Addo

@kwabenaaddo

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Data scientist and ML practitioner with finance background, reducing validation time using ML.

Ghana

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What I'm looking for

I seek roles applying ML and NLP to financial or large-scale datasets, with emphasis on measurable impact, reproducibility, and performance optimization.

I am a data scientist and machine learning practitioner with a B.Sc. in Finance and postgraduate ML certification from The Machine Learning Institute. I combine financial domain knowledge with hands-on ML to deliver practical data-driven solutions.

At the Receiver's Office I led data validation efforts using vectorization, cosine similarity and Bayesian models, cutting validation time from six weeks to four days on average. I also implemented wealth segmentation with silhouette analysis and KMeans clustering to inform distributions under Ghana's Act930.

I have experience across financial institutions and government service, including internships at Ecobank and PwC and national service with the Ministry of Foreign Affairs' Internal Audit Bureau, where I audited accounting returns for missions abroad and performed asset valuation work.

Technically, I work with Python (pandas, scikit-learn, TensorFlow), NLP, LLM prompting and fine-tuning techniques, time series and deep learning. I prioritize reproducibility, performance optimization and delivering measurable business impact.

Experience

Work history, roles, and key accomplishments

Data Validation Analyst

The Receiver's Office

Jun 2019 - Feb 2024 (4 years 8 months)

Developed ML-based data validation pipelines converting depositor records to vectors and using cosine similarity and Bayesian models to reduce validation time from 6 weeks to 4 days; performed wealth segmentation using silhouette analysis and K-means clustering and supported distribution of realizations per Act 930.

Python scikit learn Cosine Similarity K Means Clustering Data Cleaning Time Series Analysis

Finance Intern

Ecobank Ghana

Aug 2018 - Oct 2018 (2 months)

Conducted fixed asset valuations across branches by calculating net book value using depreciation schedules and asset age to support accurate financial reporting.

Asset Valuation Financial Reporting Excel Data Collection

National Service Auditor

Ministry of Foreign Affairs

Sep 2017 - Aug 2018 (11 months)

Audited accounting returns for Ghanaian missions and embassies to identify reporting failures and delays for wages and expenses for locations including Beijing, Tokyo, Lomé, and Dubai.

Internal Audit & Compliance Reporting

Finance Intern

PricewaterhouseCoopers

Jul 2015 - Aug 2015 (1 month)

Supported payroll processing and accounts tasks for client companies within the finance department during a summer internship.

Payroll Excel Accounting Systems

Education

Degrees, certifications, and relevant coursework

The Machine Learning Institute

Continuing Professional Development (CPD) Certificate, Machine Learning

2025 - 2025

Activities and societies: Covered topics: ensemble models, kernel methods, PCA, autoencoders, clustering, NLP, LLM prompting and retrieval, fine-tuning (LORA/QLORA), time series analysis, neural networks, deep learning, and hands-on Python exercises.

Completed a Master's level Continuing Professional Development (CPD/CPDUK) certification covering ensemble models, kernel methods, dimensionality reduction, clustering, NLP, LLMs, fine-tuning, and performance optimization.