cv

Basics

Name Onyekachi Emenike
Label Data Engineer · Data Scientist · ML Practitioner | Ph.D.
Email kachi.emenike12@gmail.com
Url https://kachiann.github.io/
Summary Data Engineer, Data Scientist, and ML Practitioner with a Ph.D. in Computational Mathematics. Builds production-grade ELT pipelines, layered cloud data warehouses (BigQuery, DuckDB, GCP), predictive ML models, and agentic AI applications using Python, SQL, dbt, Docker, and Terraform. Experienced across the full data stack — from batch ingestion and data modelling to MLOps and LLM-powered systems. Based in Germany, EU work authorisation, available immediately.

Interests

Data Engineering
ELT/ETL Pipelines
Cloud Data Warehouses
dbt & Analytics Engineering
Workflow Orchestration
Layered Data Modelling (raw → staging → marts)
Data Science & Machine Learning
Predictive Modelling
Time-Series Forecasting
MLOps & Model Monitoring
Model Explainability (SHAP)
Deep Learning
Statistical Learning
Agentic AI & LLMs
Retrieval-Augmented Generation (RAG)
LangChain
Vector Databases (FAISS)
GPT-4o
Agentic Tool-Use
Computational Mathematics
Quasi-Monte Carlo Methods
Information-Based Complexity
High-Dimensional Numerical Integration
Stochastic Modelling

Work

  • 2024.10 - 2026.07
    Lecturer — Data Analytics & Machine Learning MSc
    Berlin School of Business and Innovation
    Designed and delivered graduate-level curriculum in applied statistics, machine learning, and data pipeline engineering for international postgraduate students. Mentored students on reproducible workflow design, model interpretability, and communicating quantitative results to non-technical stakeholders.
    • Developed project-based learning frameworks requiring students to build end-to-end analytical pipelines using Python, SQL, and cloud tools
    • Translated complex quantitative concepts into clear, decision-oriented frameworks for diverse non-technical audiences
  • 2022.08 - 2023.07
    Senior Research Associate / Visiting Assistant Professor
    Illinois Institute of Technology
    Developed modular, reusable Python components for quasi-Monte Carlo simulation workflows, improving portability and code quality. Investigated algorithmic complexity scaling with error tolerance and dimensionality (Information-Based Complexity). Taught undergraduate Calculus to classes of 40 students.
    • Designed plug-and-play modules to improve quasi-Monte Carlo software efficiency and portability
    • Delivered lectures and designed assessments for undergraduate Calculus (40 students)
  • 2018.12 - 2022.07
    Research Scientist
    Johann Radon Institute for Computational and Applied Mathematics (RICAM)
    Built high-performance QMC algorithms in Python and MATLAB as part of an international research collaboration (Belgium, Austria, USA), resulting in 4 peer-reviewed journal publications. Served as teaching assistant for Mathematics for AI I, II & III at Johannes Kepler University (100 students per course).
    • 4 peer-reviewed journal publications in computational mathematics
    • Teaching assistant for Mathematics for AI I, II & III — 100 students per course

Volunteer

  • 2024.04 - 2024.07

    Remote

    AI / Data Science Trainer
    Africa Agility Foundation
    Designed a comprehensive curriculum for data science and AI tracks for the Girls in Tech programme, ensuring alignment with industry best practices.
    • Developed curriculum for data science and AI tracks
    • Created hands-on learning materials, case studies, and coding exercises
    • Empowered future tech leaders from underrepresented backgrounds

Education

  • 2024.01 - Present

    Online

    MSc (part-time, ongoing)
    WorldQuant University
    Financial Engineering
    • Foundations of Financial Engineering
    • Stochastic Calculus
    • Financial Modelling
  • 2019.03 - 2022.06

    Linz, Austria

    Ph.D.
    Johannes Kepler University
    Computational Mathematics
    • Quasi-Monte Carlo Methods
    • Information-Based Complexity
    • Discrete Mathematics
    • Finite Fields
  • 2016.07 - 2017.12

    Abuja, Nigeria

    MSc
    African University of Science and Technology
    Mathematics
    • Differential Equations (ODE)
    • Linear Algebra
    • Real Analysis
    • Functional Analysis
  • 2010.10 - 2015.01

    Abakaliki, Nigeria

    BSc
    Ebonyi State University
    Industrial Mathematics and Computer Science
    • Mathematics
    • Programming Fundamentals
    • Computer Science

Awards

Certificates

Data Engineering Zoomcamp
DataTalksClub 2026
Foundations of Financial Engineering
WorldQuant University 2025
MLOps Zoomcamp
DataTalksClub 2024-09-01
Data Science & Machine Learning
MIT Institute for Data, Systems and Society 2024
Statistical Learning with Python
Stanford Online 2024
Data Analyst in Tableau
DataCamp 2023
Machine Learning Specialization
DeepLearning.AI / Coursera 2023
SQL for Data Science
Coursera 2020

Languages

English
Fluent
German
A2 — actively improving
Igbo
Native