Hi, I'm Wajahat Khan.

I'm a |

Data Project Manager Apple

I made this website as a portfolio piece using HTML • CSS • JavaScript

Passionate about transforming data into actionable insights and building intelligent systems at Apple. Experienced in Python automation, data pipelines, GIS and geospatial analytics, machine learning, and AI/ML data operations at scale.

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ML & AI
Operations

About Me

Passionate about data science and software engineering

I'm a Data Project Manager at Apple, where I build automated data pipelines and internal tooling that connect engineering and vendor data. I hold a B.S. in Data Science from UC Berkeley and previously served as an Engineering Project Manager on Apple's AI/ML data operations team.

As an original member of Apple's AI/ML data collection initiative, I helped define the standards, workflows, and tooling later adopted across the program, and led the rollout of 9+ collection projects. My work spans Python automation, ETL/ELT pipelines on AWS S3 and Microsoft Fabric, GIS and route optimization with Apple Maps APIs, metadata validation, and dashboards that keep large programs measurable and on schedule.

15+

Projects

5+

Languages

3+

Years Experience

Python
Java
TensorFlow
Pandas
SQL
Git
Data Science
& Analytics

Professional Experience

My journey in technology and data science

Apple Inc. via Inspyr Solutions

Data Project Manager
February 2026 - Present | Cupertino, CA
  • Built automated data pipelines with Python, AWS S3, and Microsoft Fabric to connect engineering and vendor data, improving tracking and dashboard visibility
  • Developed Python automation tools that eliminated hours of repetitive manual data validation and routine engineering work
  • Created automated workflows that cut roughly 30 minutes of manual processing per team each day
  • Partner with engineering, vendors, and cross-functional teams to improve data quality, reporting, and project execution
Python AWS S3 Microsoft Fabric ETL Pipelines KPI Reporting

Apple Inc. via Inspyr Solutions

Engineering Project Manager, AI/ML Data Operations
January 2025 - October 2025 | Cupertino, CA
  • Original member of Apple's AI/ML data collection initiative, establishing the standards, workflows, and protocols adopted across later moderator programs
  • Led technical development and operational rollout of 9+ AI/ML data collection projects in roughly 18 months
  • Built Python automation over Linux and SSH to extract data from prototype devices, plus a scalable ingestion pipeline for large-scale datasets
  • Developed an internal GIS routing application on Apple Maps APIs accounting for traffic, construction, and road closures
  • Trained 40+ moderators, 2 project managers, and 3 backend/data engineers on tooling, prototype devices, and procedures
Python Linux / SSH Apple Maps APIs Data Pipelines GIS AWS

ZC Global Commerce LLC

Co-Founder / Data Analyst
July 2023 - January 2025 | Remote
  • Developed forecasting models in Python and Excel, reducing shipping costs by 30% through inventory optimization
  • Built automated dashboards monitoring revenue, inventory, and operational KPIs
  • Launched and scaled a direct-to-consumer store with Shopify and Amazon integrations
  • Analyzed customer and sales data to drive pricing, inventory, promotion, and logistics decisions
Python Forecasting Dashboards Shopify SQL

University of California, Berkeley

Data Science Student
August 2023 - December 2023 | Remote
  • Built a transportation demand forecasting model in Python predicting bicycle demand across multiple locations
  • Applied GIS and geospatial analysis to optimize bicycle distribution and routing decisions
  • Combined weather, historical ridership, and geographic data to improve forecast accuracy
  • Led a 7-member team to a random forest model reaching 99.9% accuracy on daily demand
Python Random Forest GIS Time Series Team Leadership

The Spark Foundation

Data Science Intern
December 2022 - May 2023 | Remote
  • Developed bike-sharing predictor with 99.998% accuracy
  • Created Kaggle-winning survival model
  • Built Tableau/Python dashboards and predictive ML models
  • Collaborated on 9 cross-functional projects using agile workflows
Python Tableau Machine Learning Predictive Modeling

Chevron

Refinery/Process Plant Operations Training
January 2024 - May 2024 | Richmond, CA
  • Applied refinery safety protocols and hazard operability studies (HAZOP)
  • Gained hands-on exposure to valves, pumps, compressors, furnaces
  • Trained in leadership techniques and emergency procedures
  • Earned ROP Certification in Refinery/Process Plant Operations
HAZOP Safety Protocols Process Equipment Emergency Procedures
View Full Timeline Download Resume

Featured Projects

Showcasing my best work in data science and software development

View All Projects

Skills & Technologies

Tools and technologies I work with

Certifications & Achievements

Professional credentials and academic accomplishments

Google Cloud Generative AI

Google Cloud

Fundamentals of Generative AI technologies, implementation methods, and best practices for AI in cloud environments.

Generative AI Google Cloud Machine Learning

B.S. in Data Science

UC Berkeley • December 2023

Bachelor's degree in Data Science with focus on machine learning, statistical modeling, and large-scale data analysis.

Data Science Statistics Machine Learning

Software Engineering

Portfolio Projects

Demonstrated expertise through comprehensive projects in data science, ML, and software development.

Python Java ML Engineering

Data Science & Analytics

Professional Experience

Proven track record in statistical analysis, predictive modeling, and data-driven decision making at scale.

Data Analysis Statistics Visualization

AI/ML Operations

Apple Inc.

Currently contributing to Apple's cutting-edge AI infrastructure and machine learning operations at enterprise scale.

MLOps AI Infrastructure Data Quality

Research & Development

Academic & Industry

Active involvement in research projects spanning machine learning, computer vision, and algorithmic design.

Research Innovation Publication

Cloud & DevOps

AWS & Industry Tools

Expertise in cloud infrastructure, containerization, and CI/CD pipelines for scalable ML deployments.

AWS Docker CI/CD

Engine Rebuild & Wiring

1996 Toyota Land Cruiser • 1FZ-FE

Complete rebuild of 1FZ-FE inline-6 engine with full wiring harness restoration. Demonstrated mechanical expertise, problem-solving, and hands-on engineering skills.

Mechanical Engineering Problem Solving Electrical Systems

ROP Operations Training

Chevron Corporation

Specialized training in Rate of Penetration optimization for drilling operations, covering drilling mechanics, real-time data analysis, and operational efficiency.

Drilling Operations Data Analysis Process Optimization

Get In Touch

Let's discuss opportunities and collaborations

Email

wajakhan@Berkeley.edu

Phone

(510) 309-7334

LinkedIn

wajaakhan