Dirk Biesinger - Data Scientist | ML Engineer | Author, N/A

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Work Background

Saravji's HutPrincipal

Jan. 2019- designing, curating and creating educational materials - designing and recording educational videos - post-processing educational materials - website development What Saravji’s Hut is A place where knowledge is shared. Everybody is welcome. A project build out of a passion for educating and mentoring. Focused on the Learner. https://saravjishut.org https://www.youtube.com/@SaravjisHut

Sigma Star .OrgTechnical Researcher

Dec. 2021Seattle, Washington, United States

Unify ConsultingPractice Manager Data Science

Apr. 2023 - Oct. 2023At Unify Consulting, our model breaks the mold with a bespoke approach to every client's unique challenge. Unify consultants dare to uncover what matters, empower breakthroughs, and deliver with purpose. We shapeshift to each client's context, bringing human-centered perspectives designed to multiply results. We've committed to a sustainable, inclusive future. Let's bring the best of us together. Let's Unify! ** Customer: Microsoft ISV MDEA: Automated collection and processing of partner marketing data from 8 diverse sources (6 database engines), reducing the manual extraction time from an average of 12 hours per week to under 20 minutes. This automation also enhanced data quality, identified problematic data, standardized report change management, and ensured compliance with security protocols.

Unify ConsultingDelivery Manager Data Science

Jul. 2022 - Apr. 2023Greater Seattle Area** Customer: Google FIA (Dec 2022 – Feb 2023): Used NLP and traditional ML to perform initial topic, group, and trend extraction from diverse, mostly unstructured data sources with limited initial training data. By employing innovative approaches, simulated training data by interviewing a SME to pinpoint key elements, pre-categorize the data, and run validation tests. Refined the approach with additional elements and conditions, and repeated the process. After three iterations, about 2% of the data was verified and used as the training dataset that offset categorization for the rest of the data. Result revealed that data categorization was achievable, despite client’s initial perception and failed internal attempts. ** Customer: ServiceNow (Jul 2022 – Nov 2022): Assessed (at the time) planned ML capabilities in ServiceNow's proprietary system. Conducted risk analyses and developed SOPs for all ServiceNow Data Scientists and customers. Provided recommendations for MLOps, architecture, security, compliance, and federated learning infrastructure, along with market insights for future guidance.

Unify ConsultingPractice Manager Data Science

Mar. 2021 - Jun. 2022Greater Seattle Area** Customer: Gap Inc.: Advanced Analytics Team (Mar 2021 – Jun 2022): Created a demand distribution forecasting tool used to optimize supply ordering and store distribution 9+ months in advance. Crafted methodologies and established baseline ground truth data, assessing current methods and benchmarking potential alternatives. Leveraged PySpark, SparkSQL on DataBricks (MSFT Azure), handling datasets exceeding 100 billion rows, and conducting clustering and feature evaluations for alternative approaches.

Unify ConsultingSenior Consultant Data Science

Feb. 2020 - Mar. 2021Greater Seattle Area** Customer: T-Mobile Digital Customer Experience Team (Nov 2020 – Jan 2021): PoC: Evaluating Data Readiness for Advanced Analytics / using DS & ML methods to increase customer satisfaction and for customized, more relevant communication approaches. The PoC revealed the available data to not be usable for the intended purposes (aggregated for a different business goal) as well as a solution to curating the required dataset. ** Customer: T-Mobile Spectrum Policy Team (Feb 2020 – Oct 2020): Reinforced Unify’s engagement within the Spectrum Team by augmenting the 2.5 GHz spectrum project. Unify’s engagement grew from 1 to 4 consultants by May 2020. • Analyzed the 2.5 GHz spectrum, one of the most complex wireless assets, for T-Mobile, using Airflow DAGs, Postgres with GIS, and Django middleware. Considered D3, Leaflet, and Bokeh for the frontend. Achieved early integration with TMO systems for accurate data presentation. • Developed an automated system to streamline T-Mobile's tools by analyzing their circular and non-circular dependencies and references (i.e. “BOWL OF SPAGHETTI”), significantly lowering the risk and redundancy by focusing on the critical path.

University of WashingtonInstructor at UW Continuum College

Mar. 2019 - Dec. 2022Greater Seattle Area- IT FDN 100A/110: Foundations of Programming (Python) - DATA SCIENCE 410 CB: Data Science: Methods for Data Analysis - PYTHON 230A: Internet Programming in Python

University of WashingtonTeaching Assistant / Instructors' Assistant at UW Continuum College

Jun. 2018 - Dec. 2019Greater Seattle Area- PYTHON 230B Spring 2019: Internet Programming in Python - PYTHON 220B Winter 2019: Advanced Programming in Python - PYTHON 210B Autumn 2018: Programming in Python - IT FDN 100B Autumn 2018: Foundations of Programming (Python) - IT FDN 100B Summer 2018: Foundations of Programming (Python) - IT FDN 100A Autumn 2019: Foundations of Programming (Python)

University of WashingtonDeveloper Course Materials

May. 2019 - Aug. 2019- DATA SCIENCE 410CB, Data Science: Methods for Data Analysis (minor revision to course materials)

Allergen AlarmCo-Founder

Aug. 2013 - Dec. 2020Greater Seattle AreaCo-launched a part-time entrepreneurial endeavor as means to simplify the lives of people with food allergies, engineering the world’s only community-based food allergen alarming app.

HCL TechnologiesData Scientist - Technical Lead at HCL’s Engineering and R&D Services Division (ERS) Lab21

Aug. 2017 - Dec. 2018Redmond, WAData Science liaison (Bing Advertiser Support): HCL America Inc. is supplier of customer support for Bing Advertisers (Team size: 210 FTE, contract dur.: 3 yrs.). - Consulting on strategic initiatives and reporting. Lead Data Scientist (MSFT Traffic Analytics Toolkit): Create past performance profiles of MSFT AD backend services to be used for deployment requirements forecasting. Leading the statistical modeling and machine learning activities, mentoring, and guiding junior associates and communicating the methods and results with stakeholder SMEs. Data Scientist (MSFT Supply Chain): Substitute for two Microsoft full-time data scientists on extended leave. Data Scientist (MSFT WFM CSS forecast PoC): Forecast support request volume for Microsoft Customer Service. Suggested approach and Proof of Concept won HCL the contract.

CourseraVolunteer Community Mentor Machine Learning (UW specialization)

Jun. 2016 - May. 2018Honored to be volunteer Mentor for the Coursera / University of Washington Machine Learning Specialization. Details: https://www.coursera.org/specializations/machine-learning

Sabbatical / Post Secondary Education TimeTransition into Data Science / Machine Learning / Artificial Intelligence Career

Oct. 2016 - Aug. 2017Greater Seattle AreaComplementing knowledge with data science / machine learning / artificial intelligence.

Viking Air Ltd.Tooling Designer - Engineer

Apr. 2012 - Oct. 2016Victoria International Airport, Victoria, BC, CanadaPromoted into Viking Air’s tooling design engineering group in a design / project engineering role. Analyzing complex design and production issues and design / upgrade various aircraft assemblies, tools and processes, continually striving for optimal functionality, quality and manufacturability.

Viking Air Ltd.Tool Maker, Metrologist, Machinist.

May. 2008 - Apr. 2012Victoria International Airport, Victoria, BC, CanadaBrought in to assemble, adjust and monitor the major assembly jigs for the DHC6-400 Twin Otter program. Scope swiftly enlarged to include coordination of jig manufacturing, as well as repairs and modifications.

Argus MachineMachinist

Jan. 2005 - Jan. 2008Edmonton, CanadaRecruited and relocated from Germany to serve in the CNC machining area. Promoted into a senior level production / leadership role in the manual milling area.