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
2021.09 - 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
2018.03 - 2021.09
- 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
2017.07 - 2017.09
- 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
2016.06 - 2017.02
- 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
2014.01 - 2015.12
- 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
2015.06 - 2015.09
- 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
2021.09 - Current
Data Scientist/Team Lead
ConDati Inc
2018.03 - 2021.09
Paid Data Science Intern
ViaSat Inc
2017.07 - 2017.09
Research Assistant
Oracle Lab
2016.06 - 2017.02
Paid Data Science Intern
Soasta Inc
2015.06 - 2015.09
Research Assistant
San Diego Supercomputer Center
2014.01 - 2015.12
Master of Science - Computer Science / AI
UC San Diego
Bachelor of Science - Computer Science
UC San Diego