Resume

Education

2015 - 2017

Master of Science in Data Science

Stanford University

Graduated with distinction. Thesis: "Predictive Modeling of Customer Churn using Deep Learning"

2011 - 2015

Bachelor of Science in Computer Science

Massachusetts Institute of Technology

Minor in Statistics. Dean's List all semesters.

2018

Certification in Big Data Analytics

UC Berkeley Extension

Completed advanced training in Hadoop, Spark, and distributed computing.

Experience

2022 - Present

Senior Data Scientist

Tech Innovations Inc.

  • Lead a team of 5 data scientists working on AI solutions for healthcare.
  • Developed a predictive model for patient readmission that improved forecast accuracy by 35%.
  • Implemented MLOps practices that reduced model deployment time by 60%.
  • Created a real-time anomaly detection system that saved the company $2M annually.
2019 - 2022

Data Scientist

Global Financial Services

  • Built fraud detection models that reduced fraudulent transactions by 27%.
  • Developed customer segmentation algorithms that improved marketing campaign ROI by 42%.
  • Created interactive dashboards for executive decision-making.
  • Mentored junior data scientists and interns.
2017 - 2019

Data Analyst

E-commerce Solutions

  • Performed cohort analysis to identify customer retention patterns.
  • Implemented A/B testing framework for website optimization.
  • Built recommendation engines that increased average order value by 18%.
  • Automated reporting processes saving 20+ hours per week.

My Skills

Python 95%
Machine Learning 90%
Deep Learning 85%
SQL 90%
Data Visualization 88%
Big Data Technologies 80%
MLOps 75%
Cloud Platforms (AWS, GCP) 85%