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Patrick Hennessey

Patrick Hennessey

Founder

Patrick Hennessey Advisory | Chicago, IL

Technologies

My Portfolio Highlights

My New Track

Data Scientist

My New Course

Introduction to Python

My New Track

Data Scientist

Champion of data ethics, navigating the fine line between insights and privacy.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

Stacey Boehman Coaching | Feb 2024 - Present

Chief Technology Officer - Fractional

N/A

Stacey Boehman Coaching | Apr 2023 - Jan 2024

Chief Technology Officer

performance visibility and growth. I am charged with catalyzing the process of achieving predictable growth at scale without losing the benefits of a flexible startup through deploying technology, data infrastructure, and growth modeling.
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Stacey Boehman Coaching | Jan 2023 - Mar 2023

Vice President Operations - Fractional

N/A

Patrick Hennessey Advisory | Jan 2023 - Present

Principal

N/A

Startup Consortium | Dec 2022 - Present

Founding Member

Startup Consortium is a boutique consulting agency specializing in - Hypergrowth and scaleup companies - Growth hacking - Change management - Data and product - Brand and content - Services marketplaces

Andela | Oct 2021 - Dec 2022

Head of Data and Analytics

N/A

Andela | May 2021 - Sep 2021

Head of Revenue Operations and Strategy

N/A

Andela | Sep 2020 - Apr 2021

Senior Director - Enterprise Strategy

▶ Generate and maintain revenue performance model to understand resource (investment, people, technology) requirements to achieve prescribed revenue goals from both an annualized run-rate and annual gross profit point of view ▶ Manage data engineering and reporting environment to support business targets generated by the aforementioned model and deeper analysis based spurred by observed business performance. Includes developing new data integrations as well as consuming that information into the supporting model. ▶ Steward and develop canonical business model that supports flexible unified interrogation of business data across disparate organizational software. -- Tech: Google BigQuery, Google Cloud Platform, Apache Airflow, Python, SQL, Looker

Toptal | Jan 2020 - Aug 2020

Director - Enterprise Performance

▶ Created and managed business model for forecasting and measurement used across all supporting cross-functional teams, reporting to executive team ▶ Maintained full-funnel visibility into Enterprise business, informing decisions to drive growth of business by 400% ▶ Implemented sales and account management data model to monitor output and value of team of 50 people ▶ Create clustering model to classify clients into both operational segments and LTV segments to inform support and delivery model provided by the business Technology: Google Cloud Platform, Google BigQuery, Google Cloud Composer (Apache Airflow), SQL, Python, Scikit-learn, Tableau

Toptal | Jun 2018 - Jan 2020

Director - Enterprise Analytics

▶ Transformed ad hoc, transactional reporting environment into normalized, homogenized, canonical, extensible data platform for all enterprise reporting, with the flexibility to generate new reporting models rapidly and with repeatable results ▶ Enabled data-driven business operations by providing Tableau-based dashboard suite for end-to-end business and portfolio management, both operationally and analytically ▶ Built an ad-hoc Tabular SSAS model for executive research and reporting of critical business needs, accelerating time to insight for new questions from days to minutes or hours. ▶ Stewarded new internal platform features to provide additional information needed to adequately measure and segment business Technology: Google Cloud Platform, Google BigQuery, Google Cloud Composer (Apache Airflow), SQL, Python, Tableau, SQL Server Analysis Services

Mashey | Oct 2017 - Jun 2018

Data Engineering Practice Lead

▶ Created and led data engineering function to support growing consulting practice ▶ Developed data engineering pipeline framework used across entire client base, and certification of implementation for new clients ▶ Researched new technology and partnership opportunities to deliver high quality paradigms serving clients across 3 industries ▶ Mentored junior data and analytics engineers to implement Mashey- designed pipelines Stewarded new business model and revenue growth of 30% across client base Technology: Microsoft SQL Server 2016, SSIS 2016, Oracle 12c, NetSuite, Google BigQuery, Python, PostgreSQL, Sisense

Libertatem Consulting | Jan 2016 - Jan 2018

Principal

solutions, to include but limited to, Enterprise Data Warehouse architecture and implementation, metadata driven ETL architecture, and purpose tuned data modelling. Specializing in the Microsoft SQL Server technology stack and .Net frameworks, and experienced in modeling and visualizing data programmatically using Python and R.

Slalom Consulting | Apr 2015 - Jun 2017

Information Management and Analytics Consultant

▶ Contributed to and implemented metadata-driven SQL Server-based persistent staging area (PSA) for rapid and reliable deployment of a centralized data platform, scalable to the limits of the technology available, with HA and DR compatibility. Repeated across multiple clients ▶ Developed metadata-driven ETL layer to feed the PSA above, written in business intelligence markup language (BIML) and C#, for rapid data integration across source systems, allowing variation-free delivery of data integration layer of the data platform ▶ Developed business operations data model Implemented MuleSoft ESB for real-time enterprise messaging bus between enterprise services and databases ▶ Delivered enterprise data serving platform, fed from previously described data warehouse environment to deliver RESTful endpoints to both internal and external consumers, running on in-memory tables in SQL Server to produce fast response time while minimizing maintenance and updates by relying on relational architecture ▶ Performed software selection evaluation for the enterprise data platform, investigating uses between different RDBMS technology and NoSQL technology, on-premise, cloud, and hybrid solutions to implement the service architecture that provided the greatest value and performance Technology: Microsoft SQL Server 2016, SSIS 2016, SSAS 2016, Business Intelligence Markup Language (BIML), IIS, C#, Oracle 12c, AWS RDS, Semarchy Master Data Management, MuleSoft ESB

Decentrix Inc. | Sep 2014 - Apr 2015

Sr. Business Intelligence Consultant

▶ Designed and developed state-of-the-art cable MSO sales and advertising data warehouse for nation’s largest cable provider ▶ Designed and developed distributed computing ETL process for > 1B records nightly, consuming data from 20 source traffic systems across 4 times zones and varying SLAs ▶ Supported SSAS cube for both ad hoc analysis and canned reporting, built nightly, incorporating the nightly records consumed above ▶ Provided novel, high resolution analysis of media and advertising data down to intervals of 30 second for nationwide commercial spot placement, optimizing $2B in annual advertising revenue Technology: Microsoft SQL Server 2012, SSIS 2012, SSAS 2012, SSRS 2012, Microsoft Windows Server 2012

Decentrix Inc. | Sep 2013 - Sep 2014

Business Intelligence Consultant

▶ Maintained and Extended nightly batch ETL processes from 20 source advertising traffic systems, providing SSAS cube-driven reports to 5000 account executive nationwide ▶ Designed and developed novel ETL process to integrate 3rd-party order management system into established data warehouse, as well as create nightly data feed to supply closed loop analytics based on orders funneled from new data Technology: Microsoft SQL Server 2012, SSIS 2012, SSAS 2012, SSRS 2012, Microsoft Windows Server 2012

University of Colorado Boulder | Aug 2009 - May 2013

Graduate Research Assistant - Behavioral Neuroendocrinology Laboratory

N/A

Halliburton | May 2010 - Apr 2011

MWD Field Engineer

N/A

My Education

Take a look at my formal education

University of Colorado Boulder
Nanodegree, Machine Learning EngineerUdacity | 2020
University of Colorado Boulder

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