ALYZANDE
RENARD

AI & ML Capability Coach | Multilingual OSINT Developer

Merseyside, UK and available remotely.

Professional Summary

AI and machine learning specialist with expertise in NLP, data fusion, and open-source intelligence (OSINT) methodologies. Coaches postgraduate apprentices in applied AI/ML, with a focus on real-world deployment, model interpretability, and ethical data practices. Combines technical project experience in multilingual sentiment analysis, cross-platform data collection, and pattern recognition with a human-centred approach to technology design.

Selected Projects

Shadow Fleet Tracker — Maritime Intelligence Platform (2025)

A real-time maritime intelligence system detecting and visualising suspicious vessel activity using global AIS data. Combines Python geospatial analysis with Leaflet.js dashboards for maritime monitoring near critical undersea infrastructure.

Technologies: Python, Flask/FastAPI, GeoPandas, Leaflet.js, JavaScript, AISStream.io, TeleGeography GeoJSON.

View Project

Russian Sentiment Analysis Bot (2025)

Analyses sentiment in Russian text using Hugging Face's RuBERT models, offering both custom text input and live analysis of current Russian news headlines. Demonstrates multilingual NLP and Flask-based web integration for open-source intelligence.

Technologies: Python, Flask, Hugging Face, JavaScript, HTML, CSS.

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VKontakte News Sentiment Analyser (2025)

Extends the Russian sentiment bot to VKontakte by analysing domestic news-agency headlines related to the Ukraine conflict. Aggregates sentiment to measure public tone within Russian media environments.

Technologies: Python, Hugging Face, VK API, JavaScript.

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EuroPulse (2025)

A multilingual OSINT system monitoring Reddit, Mastodon, and Bluesky for early reports from independent journalists before traditional news outlets confirm them. Identifies emerging emergencies and threats across Europe in French and German.

Technologies: Python, JavaScript, Reddit API, Mastodon API, Bluesky API, NLP, Geospatial Analysis.

View Project

AI-Driven EdTech Learning Channel (2024)

Automates generation of PowerPoint, text-to-speech, and video resources from apprenticeship KSB data using generative AI and Narakeet APIs. Demonstrates behavioural design and ethical influence in education.

Technologies: Generative AI, Python, Narakeet API, Canva, PowerPoint Automation.

View Project

Warm & Safe (2022)

Maps UK "Warm Banks" — community venues offering warmth and support. Created in an agile team with accessible design for screen readers and full CRUD capabilities.

Technologies: HTML, CSS, JavaScript, OpenStreetMap API, Leaflet.js, Express, Node.js, MongoDB, JWT.

View Project

Smart Wardrobe (2021)

A computer-vision web app recognising clothing and suggesting weather-appropriate outfits, integrating AWS Rekognition with OpenWeather APIs for personalised recommendations.

Technologies: LAMP stack, AWS Rekognition, MySQL, PHP.

View Project

Experience

QA Ltd (Remote)
- 2026 – Present | Machine Learning & AI Apprenticeship Coach
  - Coach Level 6–7 AI/ML apprentices through technical feedback, progress reviews in Python, statistics, and generative AI.
  - Support learners in applying ML concepts to workplace projects with attention to ethical, legal, and technical considerations.
  - Collaborate with curriculum and quality teams to maintain compliance and ensure successful End-Point Assessment outcomes.
  - Foster inclusive engagement through adaptive coaching, safeguarding (Enhanced DBS), and co-facilitation of Neurodiversity Champion sessions.
- 2025 – 2026 | Digital Learning Consultant
  - Coached and mentored Digital & Technology Solutions apprentices, developing technical and professional competencies through one-to-one reviews, portfolio assessment, and structured feedback aligned with KSBs and university standards.
  - Marked academic assignments (including Software Engineering Fundamentals in Python) against Northumbria University criteria and contributed to QA's Good Ofsted outcome.
  - Supported learner engagement through adaptive coaching, safeguarding awareness (Enhanced DBS), and co-facilitation of Neurodiversity Champion sessions.
2024 Data Analyst Skills Coach, BPP University
- Supported L3–4 Data Apprentices in analytics, Power BI, and data literacy, delivering reflective feedback linking theory to workplace application.
2023 Software & Data Coach, Estio Training
- Coached Level 3–4 software apprentices, turning failing outcomes into consistent pass/distinction results through high-quality technical feedback and support.
2021 – 2023 Trainer, promoted to Coach & Learning Mentor, The Developer Academy
- Delivered full-stack teaching (HTML, CSS, JavaScript, React, Node.js) and 1:1 coaching for coding assignments, progress reviews, and career preparation.

Education

MSc Computing, Sheffield Hallam University – University Prize for Industrial Expertise
BA (Hons) Business and Management, Oxford Brookes University

Programming Languages & Tools

Python (AI, NLP, Data) · Flask · HTML · CSS · JavaScript · Bootstrap · React · Node.js · Express · MySQL · MongoDB · LAMP Stack · Git/GitHub · Bash · Hugging Face · REST APIs · Leaflet.js · AWS (S3, Rekognition) · C# · Power BI · Data Modelling · AI Ethics

Languages

French – Fluent
German – Fluent (Business & Technical specialism)
Russian – Elementary (Studying since 2024)

Certifications

FICP Fundamentals in Coaching Practice (QA Ltd)
CompTIA DATA+
Safeguarding | Prevent | British Values | DE&I | Neurodiversity Champion (QA Ltd)

Planned Professional Development (2026–2027)

Structured professional development in cloud computing, applied machine learning, and AI ethics, strengthening analytical, technical, and governance capability across cloud and data intelligence domains.

AWS Certified Cloud Practitioner – QA / Cloud Academy / AWS Skill Builder (Completion Dec 2025)
Machine Learning with Python – QA / Cloud Academy (Q1 2026)
Applying Machine Learning & AI Services on AWS – QA / Cloud Academy (Q1 2026)
Microsoft Azure AI Fundamentals (AI-900) – QA + Microsoft (Q1 2026)
Introduction to Machine Learning – University of Oxford (Q2 2026)
AWS Machine Learning & SageMaker Essentials – AWS Skill Builder (Q3 2026)
Practical Data Science on AWS – Coursera / DeepLearning.AI (Q3 2026)
Advanced AI Strategy & Governance – Planned 2027 (Harvard / Cambridge / Oxford)