Fandishe Mussa
Software Engineer | Data Scientist
New to Contra
Fandishe is ready for their next project!
An enterprise-grade banking transaction risk and fraud monitoring platform. It simulates how a bank or FinTech ingests transactions, scores them for fraud in real time (rules + ML), routes alerts through a full analyst investigation workflow, and gives compliance/ops teams the tooling — case management, SLA enforcement, customer locking, fraud-ring detection, analytics, notifications — to run that workflow at scale, with an immutable audit trail behind every state change.
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TurkQuish Backend is the FastAPI-based inference service for TurkQuish, an explainable URL-only QR-code phishing detection framework designed for the Turkish web ecosystem.
The backend receives a decoded URL string from a client application, extracts URL-only features, performs machine-learning-based classification, generates risk scores and explanations, and returns structured results through a REST API.
TurkQuish is designed for URL-only inference. It does not query DNS, WHOIS, webpage HTML, screenshots, browser reputation services, or third-party security lookup APIs during inference.
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Hamid Muudee's Dictionary is a modern Flutter application designed to make Afaan Oromoo vocabulary lookup, review, and practice simple, beautiful, and fast. The app bundles an encrypted local dictionary asset, supports bilingual search, includes learning tools such as flashcards and timed quizzes, and tracks user progress locally.
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Automated Data Quality Monitoring System is a Python portfolio project for validating PostgreSQL data with configurable YAML rules, storing run history, tracking issue details, generating alerts, and visualizing data health in a Streamlit dashboard.
The project is designed to be beginner-friendly while still showing professional data engineering and data governance practices: safe configuration handling, modular checks, logging, tests, Docker support, CI, and optional API access.
check: https://github.com/fandishemussa/Automated-Data-Quality-Monitoring-System
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