Summary
Overview
Work History
Education
Skills
Publications
Timeline
Generic

Tahereh Shaida Masoumi

San Diego,CA

Summary

Experienced ML Engineer/Data Scientist with proven success in building algorithms and end-to-end ML pipelines for different industry and research problems. Highly adept at predictive modeling, classification, data analysis, anomaly detection and time series forecasting. Passionate about using cutting-edge ML technologies to solve real world problems.

Overview

10
10
years of professional experience

Work History

Senior Machine Learning Engineer

Realtor.com
09.2021 - Current
  • Designed, implemented and deployed machine learning models for consumer classification applications serving +100MM users
  • Developed product recommendation engines using AI and heuristic to personalize user experience, and increased engagement by 20% and lead generation by 10%

Data Scientist/Team Lead

ConDati Inc
03.2018 - 09.2021
  • Leading implementation and improvement of key products including Markov customer journey attribution, time series forecasting, and ad bid optimization for paid marketing campaigns
  • Designed and Implemented anomaly detection system to diagnose and alert anomalies in marketing trends and metrics

Paid Data Science Intern

ViaSat Inc
07.2017 - 09.2017
  • Developed machine learning applications in Python to analyze and predict inflight Wi-Fi usage
  • Created GUI framework for feature analysis/selection of complex datasets prior to training

Research Assistant

Oracle Lab
06.2016 - 02.2017
  • Developed pattern recognition tools for cyber security applications in MATLAB and JAVA
  • Collaborated in optimizing the compute cost of existing anomaly detection tools

Research Assistant

San Diego Supercomputer Center
01.2014 - 12.2015
  • Developed Kepler actors in Java for streaming and ingestion of archived weather data using ETL
  • Implemented machine learning algorithms using different DM tools including Knime, R and Spark Mllib

Paid Data Science Intern

Soasta Inc
06.2015 - 09.2015
  • Implemented a regression testing module in Julia for the existing performance analysis functions
  • Collaborated in developing a new reporting module for Data Science Workbench utilizing PhantomJS

Education

Master of Science - Computer Science / AI

UC San Diego
2018

Bachelor of Science - Computer Science

UC San Diego
2015

Skills

  • Languages: Python, SQL, Java,C, Bash scripting, R, Julia
  • Frameworks/IDEs: PyTorch, Metaflow, LangChain, Scikit Learn, Pycharm, Jupyter, R studio, VS Code
  • Tools: Git, AWS, Docker hub, Kubernetes, Airflow, Snowflake
  • Algorithms: Classification, Clustering, Predictive models, Deep learning, Time series forecasting

Publications

  • T. Masoumi and K. C. Gross, "SimSPRT-II: Monte Carlo Simulation of Sequential Probability Ratio Test Algorithms for Optimal Prognostic Performance," 2016 CSCI-ISAI
  • Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas"Integrated Machine Learning in the Kepler Scientific Work ow System." Procedia Computer Science 80 (2016): 2443-448

Timeline

Senior Machine Learning Engineer

Realtor.com
09.2021 - Current

Data Scientist/Team Lead

ConDati Inc
03.2018 - 09.2021

Paid Data Science Intern

ViaSat Inc
07.2017 - 09.2017

Research Assistant

Oracle Lab
06.2016 - 02.2017

Paid Data Science Intern

Soasta Inc
06.2015 - 09.2015

Research Assistant

San Diego Supercomputer Center
01.2014 - 12.2015

Master of Science - Computer Science / AI

UC San Diego

Bachelor of Science - Computer Science

UC San Diego
Tahereh Shaida Masoumi