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Data Scientist · AI/ML Developer · Systems Architect
I build things that work for you 24/7
I'm a Data Scientist and AI/ML Developer with 3+ years of experience turning complex problems into autonomous, intelligent systems. I specialise in building systems that are fully autonomous, reliable, and transparent — infrastructure that thinks, adapts, and scales.
I have a strong background in data science, machine learning, and cloud computing, and I'm passionate about using technology to solve real-world problems. I advocate for the responsible and ethical use of AI, and I'm committed to creating solutions that are not only innovative but genuinely beneficial to society.
I love working with tech-minded individuals and I'm always eager to collaborate on projects that push the boundaries of what's possible with data and AI.
Outside of work — I play tennis. 🎾
Data Science & Engineering Data pipeline design · Data wrangling & cleaning · Exploratory data analysis · Feature engineering · Predictive & statistical modelling · Model evaluation · Data visualisation · ETL/ELT processes
AI & Automation Building & training ML models · Financial model development · Workflow automation · Deploying & scaling AI · Chatbot & conversational AI · LLM integration & prompt engineering · AI-powered application development · Model monitoring
Strategy & Communication Technical writing · Blog & content drafting · Tech consulting & advisory · Training & knowledge transfer · Project planning & execution
🐦 Tweet Misinformation Detection — GitHub ML pipeline using Python, NLP, and AWS SageMaker to detect and flag misleading tweets in real time. Fully automated and deployed on AWS for scalable monitoring.
🌾 Farm-to-Feed: Food Distribution & Waste Reduction Data-driven system to optimise food distribution and reduce post-harvest waste using data analysis, automation, and cloud tools.
💧 Tanzania Water Well Condition — GitHub Open-source analysis identifying key factors affecting water well functionality across Tanzania through data cleaning and exploratory analysis.
📈 New York Stock Data Analysis — GitHub Historical stock data analysis uncovering market trends and patterns through cleaning, exploration, and visualisation.
Languages Python · R · SQL · Bash · JavaScript · TypeScript · Go · Java · Kotlin · C
AI & Machine Learning TensorFlow · PyTorch · Keras · scikit-learn · MLflow · Pandas · NumPy · SciPy · Matplotlib · Plotly · Seaborn · OpenCV
Web & Backend FastAPI · Flask · Django · Node.js · Next.js · React · Vue.js · Express · NestJS · Flutter
Data & Databases PostgreSQL · MongoDB · MySQL · Supabase · Redis · Snowflake · InfluxDB · Firebase · DynamoDB · Elasticsearch
Cloud & DevOps AWS (EC2, S3, SageMaker, Lambda, VPC, IAM) · Google Cloud · Azure · Docker · Kubernetes · Terraform · Ansible · Jenkins · GitHub Actions · Apache Airflow · Nginx
Tools n8n · Tableau · Power BI · Figma · Notion · Linux · Jupyter · Streamlit · Twilio · Arduino · Raspberry Pi
- 🎓 MEng Financial Engineering — WorldQuant University (2026–2028)
- 🤖 AI Technical Mentor — Moringa School (Mar 2026–Present)
- 🤝 Career Mentor — Moringa School (Jan 2026–Present)
- 🌐 Partnerships & Collaboration Lead — Openinfra Foundation (Jan 2025–Present)
- 🐍 Python Automation Developer — M365 Connect (Mar 2025–Mar 2026)
- ☁️ AWS Cloud Practitioner — E-Mobilis Technical Institute (2025)
- ☸️ Kubernetes for Developers (LFS259) — Linux Foundation (Oct 2025)
- 🐧 Linux Networking & Administration (LFS211) — Linux Foundation (Jun 2025)
- 📊 Data Analyst Intern — County Revenue (Apr–Oct 2024)
- 🎓 BSc Economics & Statistics — Zetech University (2021–2024)
- 🌐 Portfolio — linetpatriciah.vercel.app
- 📧 Email — linetpatriciah@gmail.com
- 💼 LinkedIn — Linet Patriciah
- 🐙 GitHub — shammy-lp
- ✍️ Medium — @linetpatriciah
- 💬 Discord — Join my server
Building systems that are fully autonomous, reliable, and built to last.