Hi, I'm Faizan Khan

A Full Stack Engineer & Data Scientist

Explore My Work
Your Professional Photo

About Me

I am a highly motivated and versatile professional with a robust foundation in both full-stack software development and data science. My journey began by crafting elegant, scalable, and resilient web applications using cutting-edge frameworks and optimizing database solutions to handle complex data flows.

Fueled by a deep curiosity for extracting insights and predicting trends, I seamlessly transitioned into the realm of data science. Here, I specialize in transforming raw, often chaotic, data into clear, actionable intelligence. I leverage advanced machine learning models, rigorous statistical analysis, and compelling data visualization techniques to unravel complex business challenges and drive tangible value.

I thrive on the intersection of engineering and analytics, constantly seeking challenging projects that demand innovative solutions. My commitment to continuous learning ensures I stay ahead of the curve, embracing new technologies and methodologies to deliver impactful and data-driven outcomes. I am a collaborative team player, always ready to contribute to a vibrant and forward-thinking environment.

A fun fact about myself is that I spent my free time playing soccer and video games, as well as drawing.

Skills

Full Stack Engineering

  • Frontend: React, Vue.js, Angular, HTML5, CSS3, JavaScript (ES6+), Tailwind CSS, Bootstrap
  • Backend: Node.js (Express), Python (Django, Flask), Ruby on Rails, Java (Spring Boot), Go
  • Databases: PostgreSQL, MySQL, MongoDB, Redis, Cassandra
  • Cloud Platforms: AWS, Google Cloud Platform (GCP), Azure
  • DevOps: Docker, Kubernetes, CI/CD (Jenkins, GitLab CI), Git

Data Science & ML

  • Languages: Python (NumPy, Pandas, SciPy), R, SQL
  • Machine Learning: Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost
  • Statistical Analysis: Hypothesis Testing, Regression, Classification, Clustering
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI
  • Big Data: Apache Spark, Hadoop, Kafka
  • MLOps: MLflow, FastAPI, Streamlit, Docker for ML models

General & Tools

  • Version Control (Git, GitHub, GitLab)
  • RESTful APIs, GraphQL
  • Agile Methodologies (Scrum, Kanban)
  • Problem Solving & Analytical Thinking
  • Communication & Teamwork
  • Jupyter Notebooks, VS Code
  • Linux/Unix Environments

Projects

E-commerce Platform Project

E-commerce Platform

A scalable full-stack e-commerce solution featuring secure user authentication, extensive product management, and seamless order processing.

React Node.js Express MongoDB Stripe API
Sales Forecasting Project

Predictive Sales Forecasting

Developed a robust machine learning model to accurately forecast sales, incorporating historical trends and external market factors.

Python Pandas Scikit-learn XGBoost Streamlit
Chat Application Project

Real-time Chat Application

A dynamic web-based chat application providing instantaneous messaging, user presence, and robust group chat functionalities.

Vue.js Firebase WebSockets Node.js
Churn Prediction Project

Customer Churn Prediction

Implemented advanced classification algorithms to forecast customer churn, pinpointing key drivers and generating actionable business intelligence.

Python Jupyter Logistic Regression Random Forest
Blog Platform Project

Blog Platform with CMS

Engineered a comprehensive blog platform complete with a custom content management system (CMS) for seamless authoring and publishing.

Django Python PostgreSQL HTML/CSS
Image Recognition Project

Image Recognition with Deep Learning

Developed and optimized a Convolutional Neural Network (CNN) for accurate image classification on a large public dataset.

Python TensorFlow Keras Jupyter

Experience

Frontend Engineer Intern

June 2025 - September 2025

Autolake - Berkeley, CA

  • Contributed to the development of Company Inventions , which include software code and designs , primarily utilizing React (15%) and JavaScript (20%) on specific projects and tasks.
  • Assisted in backend support and data-related tasks using Python (30%), supporting staff on specific projects and contributing to the conceptualization and reduction to practice of Company Inventions.
  • Maintained strict confidentiality regarding sensitive or proprietary information, including technical data and trade secrets , in accordance with the Intern Memorandum of Understanding and the Proprietary Information and Inventions Agreement.
  • Actively maintained adequate and current written records of all Company Inventions, including notes, sketches, and flow charts, which remained the sole property of the Company.

Information Technology Intern

June 2024 - August 2024

Verastem Oncology - Needham, MA

  • Improved workflow efficiency by 55% through iterative redesign of Egnyte folder access, leveraging Python automation.
  • Contributed to software deployment and system configuration, gaining exposure to managing and maintaining operational systems.
  • Streamlined support workflows, demonstrating problem-solving in a real-world IT environment.

Get in Touch

Have a question, a project idea, or just want to connect? Let's talk!

Or find me on social platforms: