Mark N. Email & Phone Number

New York, Ny, Us

Tech Stack : Python + DBT + PostGres + Jupyter + Docker + Clickhouse + AWS + GitDevelop internal tools to process + onboard raw dataDaily data auditing, including entity resolution, fuzzy logic, similarity scoringDeveloping ETL pipelines needed for processing, loading, and prepping data for business users.Improving reliability of data used for client-facing analysisBuild models to assist with the aggregation of data.Supporting across teams including product, app, and business development.Managing data between Postgres and Clickhouse DB's for use in Tableau.Model/schema design/development in DBTFielding all ad hoc data quality requests: transforming, querying, updating

San Francisco , Us

Tech Stack : Python + PostGres + Jupyter + GitBackend data engineer Hand coding the data ingestion/integration pipelineDesigning and implementing scalable extract, transform, and load (ETL) processesBuilding tools to verify data continuity/accuracyDesigning automated logging / audit trailWorking with SQL DatabaseWhile utilizing Python, Postgres SQL, Jupyter

San Rafael, Ca, Us

Tech Stack : Python + PostGres + Jupyter + Google Sheets + ExcelLeveraging data to predict trends, reduce utilization, improving operating performance.Develop Key Performance Indicators (KPI) of device metrics and user dataLead training sessions for end users and team members.Writing instructions/documentation of processes.Data manipulation using Jupyter, SQL, vlookupsVisualizing data using google sheets, matplotlibInvestigate, troubleshoot, and triage technologyQuery Microsoft’s Active Directory

Palo Alto, Ca, Us

Tech Stack : Python + Jupyter + Google SheetsResearch for Diabetes in PregnancyEvaluating patient blood sugar screening across gestational period (9 months)Identifying and converting data to dummy variables (High, Low, WNL)Pivot tables and data visualizationInvestigate and report data anomalies, cleaning errors/inconsistenciesPrepared medical staff for research forum presentation

Ca, Us

Facilitated and planned after school program for 4th and 5th grade students Integrated real-life problem solving with computer scienceUtilized activities from Code.org, "Hour of Code" activitiesIntroduced and developed core programming processes through unplugged/hand-written activities.Applied programming techniques using Google's CS First curriculum and resourcesStorytelling through Scratch programing software

New York, Ny, Us

Supported analysis and review of research in AtherosclerosisLeveraged statistical analysis and mapping of images in Matlab, towards predicting cell membrane sizeStreamlined, prepared, and administered training to inbound studentsReported statistical results into google sheets