Highly accomplished Data Scientist and AI/Automation Specialist with a proven track record of leveraging advanced analytics, machine learning, and automation to drive significant operational efficiencies and strategic decision-making. Expert in developing predictive models, optimizing data infrastructure, and delivering data-driven solutions that enhance business performance and foster cross-functional collaboration. Seeking to apply deep technical expertise and problem-solving skills to complex data challenges in a forward-thinking organization.
Data Analyst (AI & Automation)
London, England, United Kingdom of Great Britain and Northern Ireland
→
Summary
Leads AI-driven automation initiatives to enhance operational workflows through intelligent decision systems and predictive modeling, significantly improving operational efficiency.
Highlights
Led AI-driven automation initiatives, achieving a 57% improvement in overall operational efficiency through intelligent decision systems and predictive modeling.
Built and maintained self-serve business intelligence (BI) dashboards, boosting timely periodic KPI reporting by 60% and enabling data-informed decisions for stakeholders.
Developed and deployed reliable analytical solutions and machine learning models from extensive datasets (Oculus CRM, client data), ensuring robust data reliability and governance.
Built reusable SQL views and dynamic queries for targeted data extraction, providing stakeholders with tailored reporting without overloading existing data systems.
Optimized and maintained machine learning models for anomaly detection and trend forecasting, significantly improving data-driven decision-making and business efficiency.
Data Science Project Assistant
Salford, England, United Kingdom of Great Britain and Northern Ireland
→
Summary
Provided essential support and technical guidance in data science, machine learning, and visualization, significantly enhancing student academic performance.
Highlights
Provided essential support during lectures and hands-on coding sessions, contributing to a 34% improvement in academic performance among students.
Assisted over 500 graduate students in setting up and troubleshooting programming environments (Python, RStudio, T-SQL, Power BI, Databricks), reducing technical issues by 40%.
Delivered constructive feedback on coding practices, statistical methods, and data analysis to over 300 students, resulting in 20% more students achieving top grades.
Data Science Intern
London, England, United Kingdom of Great Britain and Northern Ireland
→
Summary
Conducted comprehensive analysis of user engagement patterns and developed optimization strategies for the RCN Learn digital learning platform to enhance user experience and content personalization.
Highlights
Utilized k-Means clustering to segment users based on search patterns, enabling targeted content recommendations and enhancing content personalization by 75%.
Developed a Multinomial Naïve Bayes classifier achieving 76% accuracy to predict user engagement, informing content optimization and platform improvements.
Designed and deployed a content-based filtering recommendation system, significantly boosting user satisfaction through personalized content suggestions.
Applied Latent Dirichlet Allocation (LDA) and text mining techniques to uncover thematic trends and extract actionable insights from user interaction data.
Robotics Instructor / Program Manager
Toronto, Ontario, Canada
→
Summary
Designed and implemented structured technology and life skills programs for Canadian youth, managing project delivery and stakeholder relationships.
Highlights
Designed and implemented TECHPlus and Skill Spark programs, providing technology training and life skills enrichment for Canadian youth.
Developed comprehensive project plans, outlining objectives, timelines, and resource allocation, ensuring successful program delivery and stakeholder engagement.
Created curriculum focused on STEM education, robotics, data analysis, and coding, aligning with industry trends and demands.
Product Manager
Remote, Global, WW
→
Summary
Developed product requirements and supervised advanced data analytics to identify market trends, enhance operational efficiency, and drive client acquisition for an edtech platform.
Highlights
Developed comprehensive Product Requirements Documents (PRD) with user stories and acceptance criteria, guiding edtech platform development.
Supervised implementation of advanced data analytics, identifying market trends and client needs to tailor marketing strategies, increasing market penetration and client acquisition.
Significantly enhanced operational efficiency by leveraging data-driven approaches for recruiting, onboarding, and training professional tutors.
Taught robotics and programming (Python, C++, Scratch) while mentoring students to win national robotics competitions and develop innovative projects.
→
Master of Science (Distinction)
Data Science
Grade: Distinction
Courses
Investigated extensive datasets to report data trends and outliers, improving data security and system performance by 70%.
Performed statistical data analytics to identify critical drivers behind birth rate evolution, forecasting health and fertility rates with 93% accuracy.
Designed and developed a standard library database system using Microsoft SQL Server and associated database objects.
Employed Azure Machine Learning Designer to implement Decision tree and Multinomial Naive Bayes classification algorithms.
→
Bachelor of Science, Second Class Honours
Materials Engineering
Grade: Second Class Honours
Courses
Dissertation Title: Structural characterization of titanium nitride sputtered low carbon steel
Issued By
International Scrum Institute, USA
Python, SQL, DAX, R, Linux, VBA, T-SQL, C++, Scratch.
Power BI, Excel, Metabase, Matplotlib, Seaborn, Dashboard Development, KPI Reporting.
Databricks, Azure ML Studio, Mlflow, Pytorch, Scikit Learn, Pandas, Natural Language Processing (NLP), Selenium, Tensorflow, n8n, Docker, Make, Claude Code, Cursor, VS Code, Predictive Modeling, Anomaly Detection, Trend Forecasting, Recommendation Systems, Sentiment Analysis, AI-driven Automation.
PowerQuery, Power Automate, MySQL Workbench, SQL Views, Dynamic Queries, Data Extraction, Data Infrastructure, Firewall Configuration, Tunnelling, ODBC Configuration, Database Exploration, ETL.
Product Management, Stakeholder Management, Agile Delivery, Scrum Delivery Management, Project Planning, Resource Allocation, Curriculum Development.
Statistical Analysis, Predictive Analytics, Critical Thinking, Problem Solving, Data-driven Decision Making, User Segmentation, Text Analytics.
Confident Communication, Report Writing, Collaboration, Presentation, Storytelling, Cross-functional Collaboration, Mentoring.
Azure Portal, Azure Machine Learning Designer.
Google Sheets, Confluence, Jira, Microsoft Office, RStudio.
→
Summary
Successfully identified key drivers behind birth rate variations and developed predictive models, enabling policymakers to create targeted interventions for promoting health and sustainable population growth across Asia and Europe.