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Jawsem Al-Hashash has extensive work experience in the field of data science and analysis. Jawsem started their career as a Reinsurance Officer at First Takaful Insurance Company in November 2012, where they worked until June 2013. In June 2014, they joined Myriad Development as an Operations Analyst and later transitioned into a Business Analyst role. Jawsem played a key role in the development of Myriad Development's Underwriting Center Platform, working closely with insurance companies to define requirements, manage software development, and provide support. After Myriad Development was acquired by CoreLogic in September 2017, Jawsem continued working as a Professional Business Analyst, managing the implementations of major property casualty insurers using project management and technical skills in SQL and Python.

In February 2019, Jawsem moved to the role of Senior Business/Data Analyst at CoreLogic, where they built industry inspection optimization models, implemented automated processes, and provided data analysis and presentations to clients. Jawsem also continued to maintain and create automated data extractions for both external clients and internal stakeholders.

In February 2020, Jawsem was promoted to the role of Senior Data Scientist at CoreLogic. Jawsem focused on building and maintaining predictive models for the mortgage and insurance industries, with a recent emphasis on computer vision and extracting useful data from imagery. Jawsem refreshed existing marketing models, improved the performance of automated QC processes, authored blog posts, conducted model assessments, and provided sales support for existing models. Jawsem also built deep learning models for flood risk prediction and developed end-to-end pipelines for property segmentation and measurement.

Jawsem currently works as a Data Scientist at Point, where they build predictive models and performs analysis for marketing and workflow use cases in the home equity investment industry. Jawsem deploys and trains models using AWS tools, creates datasets in Snowflake, and builds data models using DBT. Jawsem utilizes various modeling techniques, such as logistic regression, GBMs, Random Forest, and XGBoost, to develop predictive models in Python.

Overall, Jawsem Al-Hashash has a strong background in data science, with experience in building models, conducting analysis, and providing insights for various industries, particularly in the mortgage, insurance, and home equity investment sectors.

Jawsem Al-Hashash pursued a Master of Science degree in Data Analytics from Western Governors University in 2019. Prior to that, they obtained a Bachelor of Arts degree in Economics from the University of California, Davis in the years 2009 to 2012. In 2008 to 2009, they attended California State University, Stanislaus, although no specific degree or field of study information is provided for this period. Additionally, they completed a Nanodegree in Data Analyst from Udacity, but the exact dates are not specified. Along with their formal education, Jawsem also obtained several certifications, including:

- Convolutional Neural Networks from Coursera in February 2020

- SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling from SAS in October 2019

- SAS Certified Specialist: Base Programming Using SAS 9.4 from SAS in September 2019

- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from Coursera in April 2019

- Neural Networks and Deep Learning from Coursera in April 2019

- Structuring Machine Learning Projects from Coursera in April 2019

- Machine Learning from Coursera in January 2019

- Udacity Data Analyst Nanodegree (month and year of completion not mentioned)