Alex Sweet
Head of Data Platform at DataDrive- Claim this Profile
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Topline Score
Bio
De Liu
Alex is a top student in my big data class, where we dig deep into hadoop, pig, hive, Spark, AWS, & cloud computing. Alex's performance in my class just blows my mind - he lost a total 5 points in two exams combined (each worth 100). This was unprecedented because I not only tested them many conceptual questions, but also gave them datasets and they had to spin up a virtual machine and solve problems by writing actual hadoop/pig/hive/spark codes. His team project illustrated what he is capable of: his team trained a recommender model using a million-user song data set. They set up shop on AWS and wrote Spark codes to train an ALS-based recommender model. The project was completed with a user interface that they built using Python that can make interactive song recommendations.
Sumit Verma
I worked with Alex on a predictive and exploratory data analytics project for Mall of America. Alex was instrumental in designing the predictive analytics solution where our aim was to predict ridership for Mall of America's Nickelodeon Universe business. His ability to build a robust model using various ensemble and stacking techniques really impressed me. His understanding of predictive models such as support vector machines, k-nearest neighbors, gradient boosted machines and random forest helped us design effective predictive models. Additionally, he is highly adept at various machine learning, data manipulation and visualization techniques. He used these skills for feature engineering in our predictive project and finding actionable insights for the exploratory project. Lastly, he showed great leadership skills throughout the length of the project by making sure timely execution of the project and motivating the team to build a valuable solution for the client. He is an asset to any team he is a part of and I would highly recommend him for any Data Science/Analytics role.
De Liu
Alex is a top student in my big data class, where we dig deep into hadoop, pig, hive, Spark, AWS, & cloud computing. Alex's performance in my class just blows my mind - he lost a total 5 points in two exams combined (each worth 100). This was unprecedented because I not only tested them many conceptual questions, but also gave them datasets and they had to spin up a virtual machine and solve problems by writing actual hadoop/pig/hive/spark codes. His team project illustrated what he is capable of: his team trained a recommender model using a million-user song data set. They set up shop on AWS and wrote Spark codes to train an ALS-based recommender model. The project was completed with a user interface that they built using Python that can make interactive song recommendations.
Sumit Verma
I worked with Alex on a predictive and exploratory data analytics project for Mall of America. Alex was instrumental in designing the predictive analytics solution where our aim was to predict ridership for Mall of America's Nickelodeon Universe business. His ability to build a robust model using various ensemble and stacking techniques really impressed me. His understanding of predictive models such as support vector machines, k-nearest neighbors, gradient boosted machines and random forest helped us design effective predictive models. Additionally, he is highly adept at various machine learning, data manipulation and visualization techniques. He used these skills for feature engineering in our predictive project and finding actionable insights for the exploratory project. Lastly, he showed great leadership skills throughout the length of the project by making sure timely execution of the project and motivating the team to build a valuable solution for the client. He is an asset to any team he is a part of and I would highly recommend him for any Data Science/Analytics role.
De Liu
Alex is a top student in my big data class, where we dig deep into hadoop, pig, hive, Spark, AWS, & cloud computing. Alex's performance in my class just blows my mind - he lost a total 5 points in two exams combined (each worth 100). This was unprecedented because I not only tested them many conceptual questions, but also gave them datasets and they had to spin up a virtual machine and solve problems by writing actual hadoop/pig/hive/spark codes. His team project illustrated what he is capable of: his team trained a recommender model using a million-user song data set. They set up shop on AWS and wrote Spark codes to train an ALS-based recommender model. The project was completed with a user interface that they built using Python that can make interactive song recommendations.
Sumit Verma
I worked with Alex on a predictive and exploratory data analytics project for Mall of America. Alex was instrumental in designing the predictive analytics solution where our aim was to predict ridership for Mall of America's Nickelodeon Universe business. His ability to build a robust model using various ensemble and stacking techniques really impressed me. His understanding of predictive models such as support vector machines, k-nearest neighbors, gradient boosted machines and random forest helped us design effective predictive models. Additionally, he is highly adept at various machine learning, data manipulation and visualization techniques. He used these skills for feature engineering in our predictive project and finding actionable insights for the exploratory project. Lastly, he showed great leadership skills throughout the length of the project by making sure timely execution of the project and motivating the team to build a valuable solution for the client. He is an asset to any team he is a part of and I would highly recommend him for any Data Science/Analytics role.
De Liu
Alex is a top student in my big data class, where we dig deep into hadoop, pig, hive, Spark, AWS, & cloud computing. Alex's performance in my class just blows my mind - he lost a total 5 points in two exams combined (each worth 100). This was unprecedented because I not only tested them many conceptual questions, but also gave them datasets and they had to spin up a virtual machine and solve problems by writing actual hadoop/pig/hive/spark codes. His team project illustrated what he is capable of: his team trained a recommender model using a million-user song data set. They set up shop on AWS and wrote Spark codes to train an ALS-based recommender model. The project was completed with a user interface that they built using Python that can make interactive song recommendations.
Sumit Verma
I worked with Alex on a predictive and exploratory data analytics project for Mall of America. Alex was instrumental in designing the predictive analytics solution where our aim was to predict ridership for Mall of America's Nickelodeon Universe business. His ability to build a robust model using various ensemble and stacking techniques really impressed me. His understanding of predictive models such as support vector machines, k-nearest neighbors, gradient boosted machines and random forest helped us design effective predictive models. Additionally, he is highly adept at various machine learning, data manipulation and visualization techniques. He used these skills for feature engineering in our predictive project and finding actionable insights for the exploratory project. Lastly, he showed great leadership skills throughout the length of the project by making sure timely execution of the project and motivating the team to build a valuable solution for the client. He is an asset to any team he is a part of and I would highly recommend him for any Data Science/Analytics role.
Credentials
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Cleaning Data in R
DataCampNov, 2017- Nov, 2024 -
Deep Learning in Python
DataCampNov, 2017- Nov, 2024 -
Data Manipulation in R with dplyr
DataCampOct, 2017- Nov, 2024 -
Data visualization with ggplot
DataCampOct, 2017- Nov, 2024
Experience
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DataDrive
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United States
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Data Infrastructure and Analytics
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1 - 100 Employee
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Head of Data Platform
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Jul 2022 - Present
Deliver technical strategy and implement managed modern data stacks (AWS, Snowflake, dbt, Fivetran/Airbyte, Tableau) repeatedly for our customers- so they can focus on leveraging data to run their businesses. Deliver technical strategy and implement managed modern data stacks (AWS, Snowflake, dbt, Fivetran/Airbyte, Tableau) repeatedly for our customers- so they can focus on leveraging data to run their businesses.
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Unite Us
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United States
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Technology, Information and Internet
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500 - 600 Employee
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Director of Data Engineering (Data Science)
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Dec 2021 - Jul 2022
Build out ML operations team and technology - leveraging AWS, Sagemaker, Snowflake & Airflow. Build out ML operations team and technology - leveraging AWS, Sagemaker, Snowflake & Airflow.
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Carrot Health (Now part of Unite Us)
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United States
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Wellness and Fitness Services
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1 - 100 Employee
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VP of Product Development (Analytics)
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Jan 2021 - Dec 2021
Grow and lead team of Data Scientists, Visualization Developers and Software Engineers to deliver SaaS Data & visualization product combining consumer and healthcare data to drive decisions in growth (marketing), quality/HEDIS, and SDoH.Built on Snowflake, AWS, Python/R, TableauAcquired by Unite Us in 2021.
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Sr. Director of Product Development (Analytics)
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Nov 2019 - Jan 2021
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Director Of Product Development (Analytics)
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Aug 2018 - Nov 2019
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Product Engineering (Analytics) Manager
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Jun 2018 - Aug 2018
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Carlson Analytics Lab
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Greater Minneapolis-St. Paul Area
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Analytics Consultant
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Jun 2017 - May 2018
While in my Master in Business Analytics program I performed a number of projects and case competitions to further my analytics knowledge, among these were; Rider Forecasting - Mall of America: • Built stacked predictive models to forecast the number of riders who will come to the park per day using random forest, Gradient Boosted Machine and Support Vector Machine models. • Improved daily staffing accuracy by 20% and reduced the error in annual revenue forecast by $1.6 M through creative feature engineering. Predicting Corporate Culture Using Glassdoor Reviews : • Built Python script to web scrape 10,000 Glassdoor reviews from the Fortune 500 companies and trained Naïve Bayes classification models using Natural Language Processing to predict an employer’s corporate culture. • Applied K-Means clustering model to synthesize findings and highlight similar clusters of companies. MinneMUDAC 2017 Case Competition – Predicting High Cost Diabetes Patients: • Analyzed medical and Rx claims data to identify the lifecycle of costs which occur for a diabetes diagnosis, presented to panel of 200 industry judges and received the ‘Discovery Award’ for exploratory analysis. • Built random forest machine learning model to predict which patients would be highest cost within the next 12 months, which achieved highest accuracy and F-measure scores across 20 Graduate teams and 17 undergraduate team. Show less
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Accenture
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Ireland
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Business Consulting and Services
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700 & Above Employee
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Technology Consultant
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Dec 2014 - May 2017
Product Owner: • Identified User Stories and led team through Agile sprints to groom backlog, complete tasks and accomplish the Sprint Goal. • Mentor team of 8 Clients through their first Scrum experience to encourage adoption within the organization. • Managed dependencies across Scrum teams and proposed and designed solutions to macro-design gaps with the client architecture groups and program leadership.Integration and Conversion Development Lead: • Managed a global multi-vendor Integration & Conversion team to deliver enhancements to a custom application within the Waterfall methodology. • Negotiated features and scope change requests with the business and translated to technical designs and requirements. • Drove system functional and technical designs on Custom Application, Oracle RMS and integrations to Legacy systems to ensure end-to-end delivery of a robust solution. • Planned 2 releases’ build phases to ensure cross-component dependencies are accounted for and able to be completed on schedule. Show less
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Business and Systems Integration Sr. Analyst
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May 2014 - Dec 2014
• Gathered requirements from the business and client solution architecture groups to design the business logic of complex web services. • Collaborated with developers in India, UK and the US to complete web services and test the final code.• Owned defect management process from triage through resolution. Effective at providing root cause analysis to identify the point of failure and drive issues to resolution. • Became proficient the following; IBM Integration technologies (WAS, IIB, WSRR, and Datapower), Data Modeling, XML, SOAP, MS SQL, Oracle SQL Server, Oracle RMS, Mainframe, EDI. Show less
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Business and Systems Integration Analyst
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Jun 2012 - May 2014
Built reports, analyzed data and implemented process improvements to help manage the business operations at one of Accenture's largest clients.
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Facilities Management- University of Minnesota
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Minneapolis, Mn
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Student Process Improvement Assistant
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May 2010 - Dec 2010
Analyzed facilities data to support the management of all building on campus at the University of Minnesota. Analyzed facilities data to support the management of all building on campus at the University of Minnesota.
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Education
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2017 - 2018
University of Minnesota - Carlson School of Management
Masters in Business Analytics, Data Science & Analytics -
2008 - 2012
University of Minnesota-Twin Cities
BSB, Accounting and Finance
Community
