Background Paths
Background Paths

Computer Science Class of '26

Live Growth Product Manager at TikTok

Ex-IBM Platform Engineer, Ex-Wimbledon Data Analyst

Mehmet John Evans

Mehmet John Evans

Mehmet John Evans

About Me

I'm a final-year Computer Science student at Queen Mary University of London with a relentless passion for the intersection of technology and finance. Currently working as a Live Product Management Growth Analyst at TikTok, I've spent the past year building AI-powered solutions for global financial institutions during my placement at IBM, where I achieved a 55% client conversion rate across 8 MVP deliveries.

My journey spans from delivering real-time AI insights at Wimbledon's prestigious tournament to designing sophisticated financial models and trading algorithms. I've had the privilege of presenting live demos to senior executives at Barclays, NatWest, and Finastra, translating complex technical concepts into strategic business value.

Born in Liverpool and educated in Istanbul, I bring a unique global perspective shaped by years of international experience. This multicultural foundation, combined with my technical expertise in Python, machine learning, and financial modeling, drives my ambition to revolutionise how technology transforms capital markets.

With a predicted First Class degree and extensive experience from multiple global companies, along with many self-obtained certifications, I'm actively seeking Graduate opportunities for a 2026 start, where I can apply my proven record of delivering data-driven solutions that create measurable impact.

Work Experience

TikTok

Live Product Management Growth Analyst | August 2025 - Present

  • Analysing seller KPIs to deliver performance insights and recommend livestream content strategies, contributing to growth planning through data-driven reports and identifying emerging live commerce trends.
  • Activated high-potential merchants through targeted outreach, livestream onboarding, and growth support.
Data AnalysisGrowth StrategyProduct ManagementOperationsStrategic Planning

Wimbledon

Project Management Team Match Data Analytics | June 2025 - July 2025

IBM

Platform AI Engineer - Client Engineering - Technology Sales | August 2024 - July 2025

GCSE & A Level Tutor

for Maths, Physics, Economics | December 2022 – July 2025

BFT Consult

Data Analyst | December 2022 – July 2023

Nando's

Waiter / Kitchen Worker | August – December 2022

Education & Certifications

Queen Mary University of London

BSc Computer Science with Industrial Experience
Expected: First Class (1:1)

Relevant Modules: Bayesian Decision & Risk Analysis, Data Mining, Big Data Processing, Neural Networks & Deep Learning, Software Engineering, Web Development, OOP, Computer Networks, Operating Systems, Databases

Societies: Jiu Jitsu, Chess Club

Tarabya British Schools

Valedictorian of Middle School
Valedictorian of High School
Head Boy of the Student Council

A Levels: Physics (A*), Economics (A*), Turkish (A*), Mathematics (A)

IGCSE: 7 A*s

Final GPA: 98.8%

IBM Core Specialty: Technical Specialist (Foundational)

IBM Core Specialty: Technical Specialist (Foundational)

IBM

Demonstrated foundational skills and experience as an IBM Technical Specialist, contributing to solutions and understanding business needs.
Enterprise Design Thinking Practitioner

Enterprise Design Thinking Practitioner

IBM

Acquired and applied Enterprise Design Thinking principles to drive user-centered innovation in real-world projects.
Financial Markets

Financial Markets

Yale University (Coursera)

Completed an in-depth course on financial markets, risk management, and behavioral finance, with a focus on real-world applications.
Game Theory

Game Theory

Stanford University (Coursera)

Studied strategic interaction, Nash equilibrium, and applications of game theory in economics and social sciences.
IBM AI Developer Professional Certificate

IBM AI Developer Professional Certificate

IBM (Coursera)

Earned a 10-course certificate in AI development, covering generative AI, chatbots, and hands-on software engineering projects.
InstructLab: Democratizing AI Models at Scale

InstructLab: Democratizing AI Models at Scale

IBM

Demonstrated foundational knowledge of InstructLab, LAB methodology, and customizing open-source AI language models.
Node-RED: Basics to Bots

Node-RED: Basics to Bots

IBM / Cognitive Class

Built applications in Node-RED, including REST APIs and cognitive bots using IBM Watson services and IBM Cloud.
Python and Statistics for Financial Analysis

Python and Statistics for Financial Analysis

HK University (Coursera)

Applied Python and statistical methods to analyze financial data, build trading models, and visualize results.
The Complete Investment Banking Course 2024

The Complete Investment Banking Course 2024

Udemy

Comprehensive training in investment banking, financial modeling, valuation, and capital markets.
IBM watsonx.ai Technical Essentials

IBM watsonx.ai Technical Essentials

IBM

Gained foundational knowledge of IBM watsonx.ai, generative AI, and prompt engineering on the watsonx platform.
watsonx Assistant Sales Foundation

watsonx Assistant Sales Foundation

IBM

Demonstrated expertise in IBM watsonx Assistant sales, product value, and customer use cases.
IBM watsonx Essentials

IBM watsonx Essentials

IBM

Understands IBM watsonx platform use cases, responsible AI workflows, and IBM's AI strategy.
watsonx.ai Data Science and MLOps

watsonx.ai Data Science and MLOps

IBM

Hands-on with IBM watsonx.ai Data Science and MLOps. Supports all MLOps lifecycle phases.
Quantitative Finance and Algorithmic Trading

Quantitative Finance and Algorithmic Trading

Udemy

Financial engineering, portfolio theory, Black-Scholes, and Python for quantitative finance basics.
watsonx Assistant Sales Intermediate

watsonx Assistant Sales Intermediate

IBM

Advanced IBM watsonx Assistant knowledge. Demonstrated live demo and technical sales expertise.

Projects

Algorithmic Trading Backtest Dashboard

Full stack backtesting platform for quantitative trading implementing nine algorithmic strategies I created with python, risk metrics calculation, and performance analytics including Sharpe ratios, drawdown analysis, and portfolio optimisation.

Financial Risk MetricsPythonNext.jsStatistical ModellingReact

Black-Scholes Option Pricer with P&L

Full stack advanced derivatives pricing model implementing Black-Scholes framework with Greeks calculation, implied volatility analysis, risk surface visualisation, and profit-loss scenario modeling for options trading with AI chat feature.

Options PricingRisk ManagementNumPyFinancial MathematicsPlotlyStreamlit

Tennis Match Prediction ML System

Machine learning tournament predictor using ELO rating systems, feature engineering, and ensemble methods to forecast match outcomes through Monte Carlo simulations and probabilistic modelling frameworks based on large amounts of past tennis matches.

Machine LearningFeature EngineeringXGBoostRandom ForestPredictive Modelling

My Story

2022

From Istanbul to Queen Mary

After graduating as Valedictorian with a 98.8% GPA from Tarabya British Schools in Istanbul, I made the bold decision to move to London alone to pursue Computer Science at Queen Mary University. I embraced the challenge of starting fresh, determined to build my future at the intersection of technology and finance.

From Istanbul to Queen Mary
2022

Kitchen Floors to Tutorial Screens

Within weeks of arriving in London, I went door-to-door until I landed my first job as a kitchen worker at Nando's. While mastering the art of high-pressure service, I simultaneously launched my online tutoring business, teaching GCSE and A-Level students. The contrast between flipping chicken and explaining calculus taught me that success comes from embracing every opportunity.

Kitchen Floors to Tutorial Screens
2023

From Side Hustle to Business Experience

What started as weekend tutoring sessions grew into a thriving business. By my second year, I was teaching 30+ hours per week during peak seasons, helping over 90 students achieve their academic goals with a 50%+ A* rate. This success allowed me to leave Nando's and take on a part-time Data Analyst role at BFT Consult, where I automated bid analysis processes and maintained their web presence.

From Side Hustle to Business Experience
2024

Joining Tech Giants

Landing a 12-month placement at IBM Technology Global Sales was a pivotal moment. As a Platform AI Engineer, I built 8 AI-powered MVPs for major financial clients, achieving a 55% conversion rate. From designing RAG pipelines for fintech investment teams to delivering live demos at Barclays and NatWest, I discovered my passion for applying AI to solve real financial challenges. IBM became my classroom for enterprise-scale innovation.

Joining Tech Giants
2025

Selected for Wimbledon's Elite Team

Being chosen from IBM's entire intern cohort to join the prestigious Wimbledon Project Team was surreal. For two weeks, I worked alongside tennis legends, delivering real-time data-driven insights to coaches, players, and global media. From umpire tablet setups to AI-powered content generation, I experienced firsthand how cutting-edge technology enhances the world's most prestigious sporting events.

Selected for Wimbledon's Elite Team
2025

Data Analytics at Scale

Before entering my final year, TikTok offered me the opportunity to dive into live commerce analytics as a Growth Analyst. Analysing seller KPIs and developing livestream content strategies taught me how data drives user engagement at unprecedented scale. This role perfectly bridges my technical skills with commercial insight, preparing me as an ultimate all round candidate.

Data Analytics at Scale
What's Next?

Graduate / Entry Level Roles

With graduation approaching in 2026, I'm actively pursuing Graduate opportunities in investment banking, quantitative finance and fintech. Armed with real-world experience from IBM, Wimbledon, and TikTok, plus deep technical expertise in financial modeling and AI, I'm ready to contribute to the next generation of financial technology. The intersection of data, technology, and capital markets isn't just my career goal. It's my calling.

Graduate / Entry Level Roles

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