Kalu A.
Data Specialist & Machine Learning Engineer
Experience
Data Specialist & Machine Learning Engineer
Cloudstaff
- Build and deploy production-ready machine learning models used across Cloudstaff’s internal operations.
- Design decision intelligence systems for forecasting, anomaly detection, and investigative analysis.
- Lead the full machine learning lifecycle: from concept to deployment, monitoring, and continuous improvement.
Research Analyst
Cloudstaff
- Conducted market and product research focused on East and Southern Africa.
- Translated raw market data into insights that shaped product expansion and growth plans.
Research Analyst
Nova Algo
- Built and tested trend and alpha-seeking models for retail asset management vaults.
- Designed structured research pipelines for sourcing and validating new trading ideas.
Marketing Analyst & Specialist
OpenBB Inc.
- Led market and competitor research to refine OpenBB’s positioning in the investment research space.
- Created analytics reports and data-backed insights that guided product and marketing strategy.
- Supported community engagement efforts that significantly increased user activity and retention.
Strategy Consultant
Freelance Consulting
- Delivered data and strategic research projects for clients, including Meta, McKinsey & Company, Binance, Avalanche, Polkadot, Delta Airlines, and Marriott Bonvoy.
- Produced whitepapers, reports, and advisory notes on digital transformation and Web3 adoption strategies.
- Helped organizations use data to define strategy, navigate emerging markets, and identify new opportunities.
Summary
ML Engineer with a strong background in data and research analysis. Over the last three years, I’ve helped teams turn raw data into decisions, forecasts, and intelligent systems. I build, train, and deploy machine learning models that serve business needs, while also designing and deploying experiments. My work requires me to entangle myself with data, research, and strategy, using LLMs as a “well-trained but sadly inexperienced guide” to make my work faster in responsibilities that include but aren’t limited to: uncovering trends, improving processes, and supporting smarter decision-making.
Skills
Programming & Frameworks
- Python (Pandas, Numpy, Scikit-learn, Tensorflow, Keras, Django)
- Sql (Mysql, Postgresql)
- C++
Machine Learning & Analysis
- Time-series Forecasting
- Regression And Classification Models
- Predictive Analytics
- Quantitative Research
- Llms
- Model Deployment
- Data Preprocessing
Ecosystem & Tools
- Jupyter
- Git
- Azure
- Google Cloud
- Aws
- Rest Apis
Languages
Education
University of London
B.Sc. Computer Science · Computer Science · London, United Kingdom
Certifications & licenses
MLCC: Beginner to Production Machine Learning
Google Developer
Strategic Brand Development
Brand Management Academy
McKinsey Forward Program
McKinsey & Company
Data Analytics & Research Methodologies
IBM
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