During my incredible journey with Mastercard, I had the fantastic opportunity to contribute to an innovative fraud detection project. By tapping into the power of Python and its amazing libraries, I successfully developed advanced machine learning models like K-Means Clustering and Isolation Forest, embracing the latest unsupervised learning techniques. My hands-on experience with AWS Cloud Services—utilising tools like Lambda, Glue, SQS, SNS, Athena, RDS, S3, and Secrets Manager—has ensured that our solutions are not just robust but also scalable, leading the charge in revolutionising fraud detection. At Midwich, a leading stock exchange-listed company in the UK, I played an integral role in creating a cutting-edge AI Operations System that highlighted Python's versatility. This dynamic system seamlessly integrated REST APIs to monitor equipment from top audio-visual vendors and various IoT devices. By merging these advanced technologies, we transformed intricate data into insightful charts and graphs using Python and Node.js, making data analysis accessible and impactful. Throughout my career, I've continuously honed my skills with powerful libraries like Pandas, PySpark, Flask, NumPy, Matplotlib, Plotly Dash, and Seaborn. This journey has equipped me to deliver impactful, data-driven solutions that truly create value. I’m genuinely enthusiastic about the future and fully confident that I can make a meaningful difference as a dedicated contributor in any tech environment.

Tazeen Khan

During my incredible journey with Mastercard, I had the fantastic opportunity to contribute to an innovative fraud detection project. By tapping into the power of Python and its amazing libraries, I successfully developed advanced machine learning models like K-Means Clustering and Isolation Forest, embracing the latest unsupervised learning techniques. My hands-on experience with AWS Cloud Services—utilising tools like Lambda, Glue, SQS, SNS, Athena, RDS, S3, and Secrets Manager—has ensured that our solutions are not just robust but also scalable, leading the charge in revolutionising fraud detection. At Midwich, a leading stock exchange-listed company in the UK, I played an integral role in creating a cutting-edge AI Operations System that highlighted Python's versatility. This dynamic system seamlessly integrated REST APIs to monitor equipment from top audio-visual vendors and various IoT devices. By merging these advanced technologies, we transformed intricate data into insightful charts and graphs using Python and Node.js, making data analysis accessible and impactful. Throughout my career, I've continuously honed my skills with powerful libraries like Pandas, PySpark, Flask, NumPy, Matplotlib, Plotly Dash, and Seaborn. This journey has equipped me to deliver impactful, data-driven solutions that truly create value. I’m genuinely enthusiastic about the future and fully confident that I can make a meaningful difference as a dedicated contributor in any tech environment.

Available to hire

During my incredible journey with Mastercard, I had the fantastic opportunity to contribute to an innovative fraud detection project. By tapping into the power of Python and its amazing libraries, I successfully developed advanced machine learning models like K-Means Clustering and Isolation Forest, embracing the latest unsupervised learning techniques. My hands-on experience with AWS Cloud Services—utilising tools like Lambda, Glue, SQS, SNS, Athena, RDS, S3, and Secrets Manager—has ensured that our solutions are not just robust but also scalable, leading the charge in revolutionising fraud detection.

At Midwich, a leading stock exchange-listed company in the UK, I played an integral role in creating a cutting-edge AI Operations System that highlighted Python’s versatility. This dynamic system seamlessly integrated REST APIs to monitor equipment from top audio-visual vendors and various IoT devices. By merging these advanced technologies, we transformed intricate data into insightful charts and graphs using Python and Node.js, making data analysis accessible and impactful.

Throughout my career, I’ve continuously honed my skills with powerful libraries like Pandas, PySpark, Flask, NumPy, Matplotlib, Plotly Dash, and Seaborn. This journey has equipped me to deliver impactful, data-driven solutions that truly create value. I’m genuinely enthusiastic about the future and fully confident that I can make a meaningful difference as a dedicated contributor in any tech environment.

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Work Experience

Python Integration Engineer at Mastercard
January 1, 2023 - Present
Led AI/ML fraud detection initiatives using unsupervised learning (K-Means, Isolation Forest). Built and optimized ETL pipelines with PySpark, Pandas, and Apache NiFi. Worked extensively with AWS services (Lambda, Glue, Athena, S3, SQS, SNS, Secrets Manager, API Gateway, DynamoDB). Troubleshooted AWS issues via CloudWatch Logs. Implemented CI/CD pipelines using Git, GitLab, and Terraform. Used IaC Terraform to deploy Lambdas, Glue Jobs, SQS, SNS, and EventBridge Rules. Developed and deployed APIs and microservices with Flask and Docker on AWS. Built Kafka producers/consumers to enhance data streaming. Provided Level 3 Data Engineering support to high-value customers (e.g., Myers, Starbucks, Changi Airport).
Database Migration Expert at Performance Property
July 1, 2025 - December 1, 2025
Private consulting project to move legacy Excel property and rental database for Australia to AWS RedShift Data Warehouse. Used AWS Athena and Quick Suite to generate data visualisations. Used AWS SageMaker to run machine learning models to predict future trends and projections. Creating a news portal using WordPress to automatically create news articles using AWS Bedrock.
Database Migration Expert at SurveyKiwi
July 1, 2025 - December 1, 2025
Private consulting project to run MySQL in RedHat OpenShift Kubernetes and migrate data from an on-prem/local MySQL server into the Kubernetes-hosted MySQL. Used Podman to build the MySQL container image and tooling. Executed dump/restore and replication-based cutover.
Web Developer – Community Engagement Platform at CanXSee
December 1, 2022 - May 1, 2023
Built and maintained backend services using PHP and Python, delivering core application logic and data processing for a real-time community platform. Designed, optimised, and managed MySQL databases, including schema design, indexing, and query performance tuning. Developed and integrated RESTful APIs to support frontend functionality, third-party services, and payment workflows. Implemented web scraping and data parsing pipelines in Python to ingest and normalise external data sources. Collaborated with frontend developers (React) by providing clean, well-documented API contracts and backend support. Worked in an Agile SCRUM environment, using Jira, Confluence, and Slack to deliver features iteratively. Performed system-level troubleshooting, bug fixes, and performance improvements to ensure platform stability and scalability.
ScienceLogic Python Developer at Midwich APAC
May 1, 2021 - December 1, 2022
Developed Python drivers for AV equipment using REST APIs. Integrated SaaS platforms with Microsoft Teams and Azure using Microsoft Graph API. Built automation policies for alerts, tickets, and notifications via REST APIs. Created Flask APIs and dashboards for API-driven notifications and database storage. Built full-stack applications using Flask, Django, and PostgreSQL. Created middleware to interface between ScienceLogic and vendor SDK for JABRA equipment to populate the ScienceLogic Database and enable AI-driven analytics for predictive maintenance.
Full Stack Developer at Total Net Team (TNT)
February 1, 2020 - May 1, 2021
Maintained and developed LAMP stack-based websites. Used PHP, WordPress, and MySQL with phpMyAdmin. Developed front-end using HTML, CSS, JavaScript, jQuery, React, Bootstrap. Implemented AJAX features and admin automation tools.
Full Stack Developer at GYANDEVIGN
September 1, 2018 - February 1, 2020
Developed web applications in PHP using Laravel and CodeIgniter. Built e-commerce features including cart, checkout, and catalog. Integrated payment and messaging gateways (e.g., Twilio). Designed admin portals, authentication systems, and blog modules.
Full Stack Developer at Cometa Studio
August 1, 2015 - September 1, 2018
Maintained and developed PHP-based web applications using OOP and MVC architecture.
Freelance Web Developer at Private Client
January 1, 2011 - August 1, 2012
Designed and developed websites using HTML, CSS, JavaScript, PHP, and MySQL; delivered functional and scalable web solutions.

Education

Web Development Bootcamp at Udemy
January 11, 2030 - January 1, 2020
Web Developer’s Bootcamp at Udemy
January 11, 2030 - January 1, 2020
Web Applications in PHP at Coursera (University of Michigan)
January 11, 2030 - January 23, 2026

Qualifications

Bachelor of Science in Computer Science
January 11, 2030 - January 1, 2010
Web Development Bootcamp
January 11, 2030 - January 1, 2020
Web Developer’s Bootcamp
January 11, 2030 - January 1, 2020
Web Applications in PHP
January 11, 2030 - January 23, 2026

Industry Experience

Software & Internet