Projects

Compressed satellite image classification workflow for edge-ready decision support.

A lightweight machine learning pipeline designed for CubeSat image classification, optimizing data transmission efficiency in space. This project integrates preprocessing, model training, pruning, quantization, and evaluation to enable real-time decision-making onboard resource-constrained satellites. Inspired by the VERTECS mission, it ensures high accuracy while minimizing computational costs.

Explainable credit-risk scoring pipeline for BNPL lending decisions.

A machine learning model developed to predict credit risk and assign credit scores, supporting data-driven lending decisions for Bati Bank's Buy-Now-Pay-Later (BNPL) service in collaboration with an eCommerce platform.

Fraud detection workflow with explainability, deployment, and dashboard-ready outputs.

This project leverages machine learning to detect fraudulent transactions in e-commerce and banking, aiding in proactive security and risk management. The goal is to provide a robust fraud detection pipeline with explainability, deployment, and dashboard visualization for actionable insights.

Time-series forecasting workflow for asset allocation and portfolio risk management.

This project uses advanced time series forecasting models to enhance portfolio management for Guide Me in Finance (GMF) Investments. By analyzing historical data for Tesla (TSLA), Vanguard Total Bond Market ETF (BND), and S&P 500 ETF (SPY), we aim to forecast market trends, optimize asset allocation, and manage risk.

Risk analytics workflow for claim behavior, segmentation, and premium decision support.

An insurance analytics project for profiling policyholder risk, exploring claim behavior, and preparing predictive features that can support more transparent premium and risk decisions.

Telegram-to-warehouse data platform with object detection for medical business intelligence.

A comprehensive data warehouse solution for Ethiopian medical business data scraped from Telegram channels, including data scraping, object detection with YOLO, and ETL/ELT processes.

Event-driven oil price analysis combining statistical models, deep learning, and dashboards.

A comprehensive project analyzing the impact of significant political and economic events on Brent oil prices. This project includes data preprocessing scripts, statistical modeling using ARIMA and LSTM, exploratory data analysis (EDA) visualizations, and an interactive dashboard built with Flask and React. The goal is to provide actionable insights for investors, policymakers, and energy companies navigating the complexities of the oil market.

Amharic entity extraction pipeline for e-commerce Telegram data ingestion.

Building a real-time data ingestion and entity extraction pipeline for Amharic messages from Ethiopian e-commerce Telegram channels. Using fine-tuned LLMs, the system identifies key business entities like product names, prices, and locations, populating a centralized EthioMart platform. This project consolidates decentralized Telegram channels into a unified hub, addresses Amharic-specific linguistic features, and evaluates model performance for NER.

Sales forecasting system for six-week retail planning across pharmacy locations.

A machine learning solution to forecast sales for Rossmann Pharmaceuticals' stores across various cities six weeks in advance. Factors like promotions, competition, holidays, seasonality, and locality are considered for accurate predictions. The project structure is organized to support reproducible and scalable data processing, modeling, and visualization.

Power BI reporting layer for sales, profit, and regional performance decisions.

Built a Power BI report to analyze sales, profit, and performance trends across regions and categories by preparing and modeling the data, designing insightful visualizations, and managing report security.

Population trend dashboard surfacing urbanization, fertility, age, and dependency patterns.

Analyzed African population trends (1990–2023) using Power BI. Key insights include Nigeria's 15.4% population share, wide urbanization gaps, an average life expectancy of 65.4 years, Somalia’s highest fertility rate, and regional youth vs. elderly dependency imbalances.

Water access dashboard translating infrastructure and gender-safety signals into insights.

Developed a dashboard to analyze water access data, highlighting issues like shared taps, well cleanliness, and wait times. Provided insights into gender equality and crimes against women, demonstrating the ability to turn complex data into actionable insights.