Kalu A.

Data Specialist & Machine Learning Engineer

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Makati City, Philippines

Experience

Oct 2025 - Present
3 months

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.
Apr 2025 - Oct 2025
7 months

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.
Sep 2024 - Mar 2025
7 months

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.
Dec 2023 - May 2024
6 months

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.
Mar 2022 - Mar 2025
3 years 1 month

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

English
Advanced

Education

Oct 2025 - Present

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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