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Erustus Nyaga
@the_ml_forge
TheMLForge
Kenia
Engels, Spaans
Over mij
Electrical Engineer turned Machine Learning practitioner with a Master's in Computer Science (University of Georgia, USA). I bring a rigorous, systems-level perspective to data science — grounded in signal processing, probability, and control theory from my engineering training, elevated by graduate-level ML and algorithm coursework. I build clean, reproducible ML pipelines: from raw data ingestion and feature engineering through to model training, evaluation, and client-ready reporting. Currently offering freelance ML/DS services with flexible availability across all time zones.
Skills
Erustus Nyaga
offline •
Gemiddelde reactietijd: 1 uur
Bekijk mijn diensten
Machine learning
I will do ml, deep learning, generative ai, data science projects
Portfolio
Werkervaring
Data Annotation & AI Training Data Associate
Yandex • Freelance
Mar 2024 - Present • 2 yrs 3 mos
Perform remote annotation and validation of training data for computer vision, NLP, and large language models (LLMs) on the Toloka platform. Work independently on high-volume tasks while maintaining quality benchmarks above 96% acceptance rate. Key Achievements Consistently ranked in top 15% of annotators on complex LLM preference ranking and RLHF tasks. Developed personal quality control checklist that reduced rework by approximately 20%. Participated in inter-rater reliability (IRR) calibration sessions to align labeling standards across distributed global teams. Annotated over 12,000 data points across image segmentation, sentiment classification, entity recognition, and audio transcription tasks.
Freelance Machine Learning & Data Science Consultant
Upwork • Freelance
Jan 2023 - Present • 3 yrs 5 mos
Delivered end-to-end data science and machine learning services to small businesses and individual clients remotely. Specialized in data cleaning, exploratory data analysis (EDA), and predictive modeling using Python, pandas, scikit-learn, and XGBoost. Key Achievements Created time series sales forecast for a Nairobi-based retailer using Prophet, helping client optimize inventory for seasonal peaks. Delivered Jupyter notebooks with full documentation and plain-English executive summaries for non-technical stakeholders. Maintained 4.8/5 star rating across 12 completed contracts with repeat client rate of 40%. Cleaned and preprocessed 15+ messy datasets (CSV, Excel, JSON) ranging from 500 to 150,000 rows for clients in e-commerce, logistics, and education sectors.
Network Operations Intern
Safaricom PLC • Fulltime
May 2018 - Dec 2018 • 7 mos
Completed an 8-month network operations internship at Safaricom's Nairobi headquarters. Monitored mobile network performance, logged alarms, and assisted in generating daily network uptime reports. This role gave me direct exposure to large-scale real-time data streams — traffic loads, signal strength metrics, and outage logs — which later influenced my transition into data science and machine learning. Key Achievements Logged and categorized field maintenance tickets, tracking resolution times and identifying top 3 causes of site outages (power failure, transmission loss, hardware faults). Monitored network performance dashboards (Ericsson OSS) across 150+ base stations in Nairobi region, flagging 30+ recurring alarm patterns for engineering review. Participated in weekly team meetings, presenting summarized network KPIs (Key Performance Indicators) to senior engineers. Monitored network performance dashboards (Ericsson OSS) across 150+ base stations in Nairobi region, flagging 30+ recurring alarm patterns for engineering review. Assisted in daily generation of network uptime and dropped-call reports using Excel, reducing manual formatting time by 15% through standardized templates.
