Continuous Control Monitoring & Anomaly Detection System

This project implements a Continuous Control Monitoring (CCM) framework applied to financial transaction data, simulating the kind of automated control testing used within internal control functions in financial services organisations.

Bank Marketing Prediction App

This is a Streamlit web application that predicts whether a client will subscribe to a term deposit based on marketing data.

Sentiment Classification of X (Twitter) Posts Using BERTweet

This project uses a fine-tuned BERTweet model to classify X posts into eight custom sentiment categories. It includes two notebooks: one for training the model on labeled data, and another for automating the retrieval of new tweets, running inference, and updating a master list for ongoing analysis

Competitor analysis

As part of my internship with a bank, I was tasked together with two other interns to conduct a competitor analysis among a select group of banks. The criteria used were network distribution, pricing, digital entrenchment, self-service and social media (X) sentiments.

Points of interest analysis

In this project, I identified over 2000 points of interest in Accra and then I determined the distance between these points of interest and a specific bank's branches and ATMs as part of my internship with the bank. The github link contains the notebooks and code used for this analysis.

Festman Data Accelerator Program

This contains Power BI dashboards of analysis I completed as part of a virtual data analysis internship program with Festman Learning Hub. I built three different dashboards; two with Power BI and one with excel. I also completed two virtual job simulations with Forage.

Maji Ndogo National Water Problem

This was a practice project that required application of SQL and visualisation skills. It involved analysing data on water sources in a fictional town called Maji Ndogo to determine the population of the town that has access to water and also rejuvenate the sources to cater for those without.

Kaggle Competitions

This will contain notebooks I have used in entering kaggle competitions. So far, I have entered two competitions. The first one was the Explore AI and ALX Movie Recommendation System and the second one was the building of a price prediction model for the Kaggle Fellowship program.

Access to water

This project was about exploring a dataset provided on global access to water from 2000 to 2020 using google sheets.

Bioinformatics training

This contains practical assignments completed in the online courses I have taken for my bioinformatics training. Some of these courses include the H3ABionet IBT and a few other coursera and future learn courses.

Python practice

This contains notebooks of my training on the concepts in python and its application in creating machine learning models; both supervised and unsupervised learning models.

Assessments

This contains all assessments I have had to do as part of interviewing for a data analysis or data science role.

Putative molecular markers of Plasmodium falciparum resistance to antimalarial drugs in malaria parasites from Ghana.

The prevalence of single nucleotide polymorphisms in nine P. falciparum genes linked to ACT and SP resistance in the malaria parasite population was determined.