cv
Basics
| Name | Onyekachi Emenike |
| Label | Data Engineer · Data Scientist · ML Practitioner | Ph.D. |
| 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
- 2024
First Place — Data Science & Machine Learning Hackathon
MIT Institute for Data, Systems and Society (IDSS)
Placed first out of 1,000+ participants worldwide in a competitive data science and machine learning challenge.
- 2021
Special Prize Zonta Award
Johannes Kepler University (JKU)
Awarded for outstanding academic achievement in computational mathematics.
- 2017
African Capacity Building Foundation Scholarship Award
African University of Science and Technology (AUST)
Scholarship awarded to support advanced studies in mathematics and its applications.
- 2016
African University of Science and Technology Scholarship Award
African University of Science and Technology (AUST)
Merit-based scholarship for exceptional academic performance in mathematics and computer science.
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 |
| Python for Data Science, AI & Development | ||
| Coursera | 2021 |
| Neural Networks and Deep Learning | ||
| Coursera | 2021 |
| SQL for Data Science | ||
| Coursera | 2020 |
Languages
| English | |
| Fluent |
| German | |
| A2 — actively improving |
| Igbo | |
| Native |