Martha Cassetti
Phoenix,United States
Summary
Experienced Data Scientist and self taught 3d artist with over seven years of technical experience in data science and engineering, including strong understanding of image processing algorithms, object oriented programming (C++ and Python) , and creating data model pipelines. Excellent reputation for resolving problems, working with customers, leading teams, building model pipelines, working with large and complex data sets, and leveraging knowledge across multiple domains.
Overview
8
8
years of professional experience
2
2
Certifications
Work History
Lead Data Scientist
Cyient, Inc.
Phoenix, AZ
12.2018 - 04.2021
- Worked multiple data science contracts across varied domains (aerospace, business analytics, and defense suppliers)
- Contributed to 80 Million dollar annual target in 2020 by creating data science specific tool suite enabling business developers to leverage data science models for internal business optimization
- Utilized advanced querying (SQL, REST), visualization and analytics tools to analyze and process complex data sets
- Developed intricate and domain specific algorithms and data model pipelines based on deep-dive statistical analysis and predictive data modeling, including testing and validation of models from SME experts
- Created visualizations including polished dashboards , Jupyter Notebook, and Front-End development and share results of data analyses and model performance
- Lead remote teams and participated in stakeholder meetings, including detailed project planning, mentoring junior data scientists, and work load delegation
Sr. Systems Engineer
Raytheon
Tucson, AZ
06.2013 - 01.2018
- Responsible Engineering Authority and Subject Matter Expert in both image processing and tracking/discrimination for embedded software
- Key contributor to flight test operations and successful flight test launch, which demonstrated in-flight software execution of ground-based capabilities
- Successfully designed, tested, and implemented electro-optical algorithms to use in embedded software using C/C++
- Monte Carlos simulations, statistical analysis, and use real time simulation to measure performance and demonstrate improvements of integrated algorithms
- Increased system performance of embedded system software by over 150% throughput utilizing code optimization techniques and collaboration with software engineering team
Education
Master of Science - Physics
University of Arizona
Tucson, AZ05.2013
Bachelor of Science - Physics
Arizona State University
Tempe, AZ05.2010
Skills
- Programming: Python, C, C, MATLAB, R, JavaScript, REST, SQL
- Data Analytics: Deep dive data analytics including feature engineering statistical summaries, SME and domain specific data processing methods, and analysis
- Data Model Pipelines: Custom and domain specific DS models, statistical models, image processing algorithms, and machine learning (CNN, RNN)
- Data Visualization: Tableau, JavaScript, Flask, React, Python
- Data Handling: AWS , Spark, Domino Datalabs, GPU Computing
- Agile and version control: Jira, Bitbucket, IBM Synergy, GitHub
Certification
- Data Scientist, METIS, Training - July 2018 - September 2018
Hobbies
Unreal Engine and 3d Animation using Blender3d
Timeline
Lead Data Scientist
Cyient, Inc.
12.2018 - 04.2021
Sr. Systems Engineer
Raytheon
06.2013 - 01.2018
Master of Science - Physics
University of Arizona
Bachelor of Science - Physics
Arizona State University