Hi, my name is

Alvin Newman-Samuels.

I build AI, data and digital solutions.

I'm a Computer Science professional combining software engineering, artificial intelligence, data analytics and Microsoft Power Platform to build practical digital solutions.

Portrait of Alvin Newman-Samuels

01. About Me

Hello! I'm Alvin, a Computer Science professional with a background in software engineering and a strong interest in building practical technology that solves real-world problems.

I hold an MSc in Computer Science and my work spans artificial intelligence, data analytics, machine learning, financial technology and digital systems. I enjoy taking complex requirements and turning them into solutions that are useful, understandable and technically robust.

Recently, I've been developing AI and data-driven projects using technologies such as Microsoft Copilot Studio, Power Platform, Python and machine learning. My projects include an AI-powered council services assistant, neighbourhood intelligence analytics and multi-asset financial forecasting.

Here are some technologies I've been working with:

  • Python
  • SQL
  • Microsoft Copilot Studio
  • Power BI
  • Power Automate
  • Power Apps
  • Dataverse
  • Machine Learning
  • Next.js
  • TypeScript

02. Experience

AI & Automation Engineer

Real People Solutions

Jul 2025 – Present

  • Analyse business and user requirements to identify opportunities for AI, automation and digital transformation.
  • Design and enhance AI-powered conversational agents using Microsoft Copilot Studio, including prompts, generative responses and escalation pathways.
  • Connect AI solutions to trusted knowledge sources using SharePoint, Dataverse, Microsoft 365, APIs and RAG approaches.
  • Develop automated workflows using Power Automate, APIs and connectors while applying responsible AI, security and information-governance principles.

Data Analyst / Engineer

Lidl GB

Jan 2025 – Jun 2025

  • Supported data analysis and reporting activities using structured data to identify trends and support operational decision-making.
  • Applied analytical and problem-solving techniques to transform information into clear and usable insights.
  • Worked collaboratively in a fast-paced operational environment while maintaining accuracy, consistency and deadlines.

ICT4D Consultant

Catholic Relief Services

Jan 2023 – Dec 2024

  • Supported digital systems and technology-enabled business processes within an operational environment.
  • Investigated application and system issues, identified root causes and implemented or escalated appropriate solutions.
  • Supported data processing, validation and optimisation activities to improve reliability and operational efficiency.
  • Worked with technical and non-technical colleagues to understand requirements and support adoption of digital solutions.

IT Support Officer

ICAP at Columbia University

Jan 2022 – Dec 2022

  • Provided application and systems support while troubleshooting technical issues and assisting users.
  • Investigated incidents systematically, communicated solutions clearly and escalated complex issues when appropriate.
  • Supported reliable digital services through user assistance, technical diagnostics and problem resolution.

Education

Jan 2025 – May 2026

MSc Computer Science

Anglia Ruskin University

Sep 2016 – Feb 2022

BSc Software Engineering with Multimedia

Limkokwing University of Technology

2012 – 2016

B.A. History and Sociology

Fourah Bay College, University of Sierra Leone

03. Featured Projects

A selection of projects demonstrating my work across artificial intelligence, automation, data analytics and machine learning.

Civic System prototype running in Microsoft Copilot Studio and responding to a resident rubbish-reporting enquiry

Featured Project

Civic System

AI Council Services Assistant

An independent AI-enabled public-sector services prototype demonstrating how conversational AI, retrieval-augmented generation and Microsoft Power Platform can support council-service information, controlled transactions and human escalation.

  • 22-document grounded knowledge base
  • RAG-powered service guidance
  • Controlled Power Automate transactions
  • Dataverse persistence and staff review
  • Responsible AI and human oversight
  • 23 defined prototype test scenarios passed
  • Copilot Studio
  • Generative AI
  • RAG
  • Power Automate
  • Dataverse
  • Power Apps
Adult Social Care Neighbourhood Intelligence Power BI dashboard showing Southampton referral rates and executive summary

Data & Analytics Project

ASC Neighbourhood Intelligence

Adult Social Care Demand & Strategic Analytics

A neighbourhood intelligence solution integrating population, deprivation and Adult Social Care data to identify demand patterns, inequalities and emerging service pressures for evidence-led strategic planning.

  • Multi-source neighbourhood data integration
  • Referral-rate analysis
  • Deprivation inequality analysis
  • Demand trend modelling
  • 12-month forecasting
  • Interactive Power BI reporting
  • Python
  • Pandas
  • Power BI
  • Data Integration
  • Forecasting
  • Analytics
LSTM model strategy compared with a buy-and-hold baseline in the financial forecasting project

Machine Learning Project

Multi-Asset Financial Forecasting

Machine Learning & Deep Learning

A postgraduate machine-learning project exploring financial-market forecasting across multiple asset classes and timeframes using engineered time-series features and classical and deep-learning models.

  • Multi-asset financial time series
  • Feature engineering
  • Machine-learning model comparison
  • CNN and recurrent neural networks
  • Trading-performance evaluation
  • Risk and drawdown analysis
  • Python
  • TensorFlow
  • Keras
  • CNN
  • LSTM
  • Machine Learning

04. What's Next?

Get In Touch

I'm interested in opportunities across artificial intelligence, automation, data analytics, software engineering and digital transformation. Whether you're recruiting, collaborating on a project or simply want to connect, I'd be happy to hear from you.

Say Hello