Adam Shamash Email & Phone Number

Boston, MA, US

Hampton, New Hampshire, United States

• Forecast premium financial time series to less than 2% MAPE for total 1 year amounts based on simulated historical forecasts using statistical SARIMA model developed with Python’s pandas and statsmodels
• Detect and quantify financial reporting anomalies using LOESS and create visualization dashboards in Domo for easy identification and member correction
• Lead PoC code development for partner analytics platform to understand company agency strength and include prototype system to identify a partner's potential competitors
• Clean and document existing ETLs while adding new Analytics layer using dbt to existing data model to ensure flexible data strategy and scalable data science applications
• Create Domo Dashboards to allow easy evaluation of Recruiting and Growth KPIs
• Automate monthly and quarterly reports through Python and Prefect

Los Angeles Metropolitan Area

• Design lookup algorithm in PySpark to identify which new, often incomplete, records arecurrently in the data platform through custom score metrics
• Engage with Data Scientists to develop clustering method for properties by validating model, creating error analysis to identify areas for process improvement, and working on code improvements to optimize performance
• Validate and maintain data quality in warehouses by combining SQL and Python scripts, ensure all data governance rules are followed, and collaborate with Data Engineering team to debug and solve data issues
• Gather requirements for new data sources through data exploration and communication with relevant internal and external teams. Once gathered, translate requirements for technical implementation and validate data gets.
• Create mappings and transformations for new sources of various formats, like JSON, through exploratory data analysis and communication with relevant internal and external teams. Once created, help develop plan on how.
• Ensure REST APIs stay up-to-date with client expectations by combining Python and SQL scripts toprovide more detailed reviews faster

Los Angeles, California, United States

• Work with on-site market researchers to prepare property data for use
• Participate throughout the ETL process, cleaning data and ensuring correct uploads
• Create applications with Python libraries like PyQt and pandas to automate the ETL process for cleaner workflows and reduce market analysis time frame from days to hours
• Help design new data representation sheets, allowing better communication between departments
• Manipulate text data to parse out useful information and design numerical metrics to assist cleaning process

• Graded course assignments and exams while providing constructive feedback
• Helped identify and correct any issues or weaknesses the class experienced
• Supervised exams ensuring honest testing environment, exam questions were clear, and the exams were delivered safely to the instructorGraded for:
• MATH 8: Transition to Higher Mathematics (Fall 2015)
• MATH 101B: Mathematical Systems (Winter 2016)
• MATH 103: Introduction to Group Theory (Spring 2016)

Master Of Science - Msc, Mathematics

Thesis: "Super-Resolution of Solar Images using Generative Adversarial Networks" Supervisors: Giovanni Lapenta, Jorge Amaya, Diego González

Bachelor Of Science - Bs, Mathematics