maxmilliamdev

Artificial Intelligence Research Scientist

AI Research Scientist, Senior Business Analyst, and Data Scientist with expertise in Machine Learning (ML), Business Intelligence (BI), Predictive Analytics, Cloud Computing, and Process Optimisation. I specialise in developing AI-powered solutions, automating workflows, and leveraging data-driven decision-making to optimise business performance.

My expertise includes Python, SQL, Tableau, Power BI, AWS, Azure, DevOps, MLOps, Data Engineering, Agile Business Analysis, and AI-driven Automation. With a strong background in ETL, Data Pipelines, Cloud Infrastructure, CI/CD, Financial Modeling, and Regulatory Compliance, I help businesses make data-driven, AI-powered decisions.

I have successfully led cross-functional teams, implemented AI/ML solutions, and optimised business intelligence strategies for major enterprises. My work in Natural Language Processing (NLP), Risk & Compliance, Data Science, and Process Automation ensures businesses stay ahead in today’s AI-driven economy.

🔹 Technical Expertise:

✅ Programming & Data Analysis: Python, SQL, R, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, NLP, Machine Learning Models
✅ Business Intelligence & Analytics: Tableau, Power BI, Google Data Studio, Excel (Advanced), Snowflake, Databricks, BigQuery
✅ Cloud & DevOps: AWS (EC2, Lambda, S3, SageMaker), Azure, GCP, Terraform, Kubernetes, Docker, CI/CD, Jenkins, Git, MLOps
✅ Business & Process Optimisation: Agile (Scrum, Kanban), Lean Six Sigma, Jira, Confluence, Business Process Reengineering (BPR)
✅ Risk & Compliance: AML, KYC, Financial Risk, Regulatory Reporting, Governance, Security & Cyber Compliance

Experience: 9 years

Yearly salary: $90,000

Hourly rate: $50

Nationality: 🇬🇧 United Kingdom

Residency: 🇬🇧 United Kingdom

Experience

AI Research Scientist

Meta & Accenture Consulting

2023 - 2025

• Led AI research initiatives, advancing language model capabilities and contributing to three high impact publications per year. • Developed and implemented 20+ experimental frameworks and reusable code libraries using Python, TensorFlow, and R, significantly improving deep learning model efficiency and evaluation workflows. • Optimized data extraction and algorithm performance by leveraging parallel computing and automated data pipelines, enhancing computational efficiency in AI-driven projects. • Mentored six junior researchers, fostering cross-functional collaboration and driving progress on long term research goals aligned with Meta’s strategy.

Business Analyst

ServiceNow

2021 - 2022

• Optimized service workflows, significantly reducing incident resolution time and improving customer satisfaction for a diverse client base of over 1,000 users. • Collaborated with 20+ stakeholders to gather and analyze business requirements, leading to the creation of detailed user stories that streamlined project delivery timelines. • Conducted in-depth gap analyses across multiple departments, identifying actionable solutions that enhanced operational efficiency and business alignment. • Designed and documented 10+ business processes within ServiceNow, improving system usability and ensuring compliance with industry standards and best practices.

Business Intelligence Analyst

Citi

2019 - 2021

• Analyzed operational data from 150+ cross-functional stakeholders, applying data governance, ETL, and extraction strategies to enhance business performance and support strategic decision-making. • Identified key data patterns through data modeling, statistical analysis, machine learning, and predictive analytics, driving the implementation of automation frameworks and process improvements, leading to substantial cost savings. • Developed comprehensive reports and dashboards, transforming complex data into clear, actionable insights, enabling targeted segmentation strategies, and strengthening collaboration with business partners and leaders.

Software Engineer Intern

Standard Chartered Bank

2018 - 2018

• Developed and deployed software applications using Python, Java, C++, and Spring Boot, enhancing processing efficiency for critical banking transactions across multiple departments. • Built a city planning portal capable of handling large-scale daily transactions using the MERN stack (MongoDB, Express.js, React.js, Node.js), integrating secure APIs (JWT, Axios) and a responsive UI (Redux, CSS). • Optimized data structures, algorithms, and SQL queries, improving code efficiency and enhancing real time transaction processing. • Collaborated with cross-functional teams to troubleshoot and resolve complex technical challenges, ensuring smooth project execution and high-quality standards. • Participated in specialized training on cloud technologies and CI/CD tools, contributing to the successful deployment of AWS-based solutions for scalability and automation.

AML Analyst

Citi

2018 - 2019

• Reviewed and processed KYC applications, improving the compliance team’s efficiency while ensuring strict AML regulations adherence and mitigating financial crime risks. • Conducted in-depth investigations on suspicious transactions alongside a team of analysts, successfully identifying and resolving high-risk cases, strengthening overall AML compliance. • Developed and delivered AML training sessions for employees, enhancing compliance awareness and fostering a culture of vigilance against financial crimes within the organization.

Skills

aws

big-data

business-development

c-sharp

cloud

data-science

java

linux

python

pytorch

sql

analyst

english

french

spanish

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