Data Analytics Machine Learning

Dallen Bennett

*******.******@*****.*** • 801-***-**** • linkedin.com/in/dallenbennett • View my e-Profile

PROFESSIONAL EXPERIENCE

Snap Finance Salt Lake City, UT

Data Analytics Engineer II March 2022 – Current

•Automate 90+ data pipelines (ETL) for business analysts and business stakeholders using Python and R.

•Develop scalable data marts and feature stores for business users using SQL, DBT, and Spark.

•Lead data science and reporting projects to extract valuable insights from internal and external data.

•Effectively reduce program memory usage and runtimes, data pipeline runtime from 3+ hours to 10 minutes.

•Work closely with data scientists, BI developers, and cross-functional teams to perform experiments and improve allocation of companies resources.

•Design and manage architecture for data warehouses, secrets, and reports for 50+ internal and external partners.

•Collaborate efficiently with remote team members to complete projects and meet deadlines.

Cytiva Danaher Logan, UT

Materials Planner and Data BI Developer May 2020 – March 2022

•Develop team dashboards for daily KPI tracking and improvement analysis using PowerBI and Tableau

•Analyze data to improve supplier on-time delivery (increased supplier promise date rate by 45%), production schedule success, and inventory management.

•Save $300,000+ annually by implementing new partnerships, resources, and strategies.

•Support team members in SQL development and data management techniques.

•Manage 100+ purchase orders and supplier portfolios using Oracle, Qlik Sense, Excel, and Power BI

PROJECT EXPERIENCE

Enterprise Cloud Reporting Platform Snap Finance

SQL, Python, Tableau, DBT, Airflow, and Database development

Built enterprise level cloud reporting platform for external audiences. Design scalable architecture for data marts and data warehouses using SQL, automated programs using Airflow and Github while implementing unit testing and table validation. Leveraged Data Built Tool (DBT) for repeatable and consistent code and KPIs.

Marketing and Sales Data Analytics Snap Finance

Python, SQL, DBT, Airflow, Salesforce, Tableau

Leveraged web APIs, JSON files, SFTPs and utilized various AWS (Amazon Web Services) services to extract and create datasets. Constructed seamless integrations for lifecycle marketing and sales teams to increase sales opportunities and business growth. Versed in python modules such as Pandas, Scikit-learn, and Pyspark. Wrote code to compare machine learning models using Regressions, Classification, Time Series Analysis, Random Forest and other machine learning models.

EDUCATION

Georgia Institute of Technology College of Engineering Atlanta, GA

Master of Science, Data Analytics, Emphasis in Computing and Business Analytics December 2024

Utah State University Jon M. Huntsman School of Business Logan, UT

Bachelor of Science, Information Systems, Emphasis in Data Engineering

SKILLS

Tools: Python, SQL, R, Trino, Postgres, Oracle, Snowflake, SalesForce, Pycharm, Visual Studio Code, Github, MySQL, Flask, Databricks, Spark, Google Cloud Platform

Technologies: Amazon Web Services (S3, Glue, DMS), Tableau Certified, Apache Airflow, Docker, Excel, Jira, DBT

Machine Learning: Regression, Classification, Random Forest, Azure Machine Learning Platform

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