Blessed Zhou - Data Scientist and Machine Learning Engineer

Hi, I'm Blessed Zhou

I build data-driven and AI systems

Data Scientist & ML Engineer turning messy data into clean solutions.

Download CV

Recent work

Computer Vision Classifier

Image classification system for product categorization with 95% accuracy using transfer learning.

TensorFlowKerasOpenCVFlask

Anomaly Detection System

Unsupervised learning system detecting fraud patterns in financial transactions.

Scikit-learnKafkaPostgres

Time Series Forecaster

LSTM-based forecasting model for inventory optimization with 92% accuracy.

PyTorchTimeSeriesMLflow

Tools I use

PythonSQLRTypeScriptJavaScriptPyTorchTensorFlowScikit-learnLangChainHugging FacePostgreSQLMongoDBPandasNumpyApache SparkdbtTableauPower BIDockerAzureFastAPIREST APIsDjangoFlaskMLflowAirflowLatexPredictive AnalyticsStatistical Analysis

Hackathons & Competitions

Participating in hackathons and competitions has been a great way to push my limits, learn new technologies, and solve real-world problems under time constraints.

Claxon Data Science Challenge: Loan Default Risk Prediction

2024

Claxon Actuaries

Data Science / Machine Learning / AI

Position: 5th Place in Zimbabwe

Participants: 140

Developed an end-to-end credit risk prediction system using machine learning, including data preprocessing, PD modeling, API deployment with FastAPI, and data drift monitoring.

PythonScikit-learnXGBoostFastAPIImbalanced-learnPandas

Education

Bachelor of Science in Data Science and Systems

University of Zimbabwe

2020 - 2024

  • Specialized in Machine Learning and Data Science
  • Graduated with honors
  • Relevant coursework: Statistics, Linear Algebra, Data Structures, Deep Learning, Database Systems

A bit about me

I have worked on projects involving the extraction and processing of structured and unstructured data, predictive modeling for credit scoring and sales forecasting, anomaly detection, and customer behavior analysis.

Proficient in Python tools and libraries including scikit-learn, spaCy, pdfplumber, pytesseract, and pandas, with hands-on experience in NLP, clustering, and supervised modeling.

I am continuously advancing my skills through studies, personal projects, and the creation of technical content.

Let's connect

Always happy to chat about data, ML, or interesting projects.