Jeff Eisenbeis
Boston
Overview
6
6
years of professional experience
Work History
Data Analyst
The Channel Company
Westborough, MA
02.2021 - 08.2024
- Managed a Salesforce database with millions of contacts, ensuring data accuracy and integrity
- Developed and maintained dashboards for data visualization and reporting using Power BI
- Successfully integrated Salesforce data into Power BI using MySQL, enhancing reporting capabilities and data analysis efficiency
- Leveraged MySQL to perform data extraction, transformation, and loading (ETL) processes, facilitating streamlined data modeling in Power BI
- Collaborated with major clients including Dell, HP, Xerox, and ESET to deliver tailored data solutions
- Developed interactive and visually engaging dashboards in Power BI that provide real-time insights and analytics on Salesforce data, driving data-driven decision-making
- Utilized SQL queries to optimize data retrieval from MySQL for Power BI reporting, resulting in improved performance and reduced loading times
- Automated data cleaning processes in Salesforce using Python scripts detecting duplicates, and validating data integrity
- Served as Workfront Administrator for EMEA, optimizing project management workflows
Data Analyst, Bioinformatics
Ultragenyx Pharmaceutical
Novato, CA
08.2020 - 10.2020
- Developed literature mining and analysis protocols using open source API to quickly and efficiently analyze all medical literature including Pubmed for genetic variations in a rare disease (MPS7)
- Provided database analysis and created dashboard showing correlation between a patient’s clinical presentation and their specific genetic variation in a rare disease (XLH)
Data Science Consultant - Practicum
360 Intel
Manchester, NH
10.2019 - 05.2020
- Built a comprehensive dashboard to give clients a clear understanding of summarized and visualized data based on survey questions
- Tools: Tableau
- Used Natural Language processing and variable weighting to quantify individual survey question’s importance to the overall business
- Tools: Python (NLTK)
Data Science Consultant - Practicum
The Music Hall
Portsmouth, NH
10.2019 - 05.2020
- Used web scraping and modeling to identify artists who would likely be successful at this venue
- Tools: Python (Beautiful Soup)
- Built an algorithm to automate the process of identifying these acts
- Tools: Python (Scikit-Learn, KNN, Naive Bayes)
IT Business Management (Data & Corporate Functions) - Summer Intern
Santander Bank
Boston, MA
05.2018 - 08.2018
Timeline
Data Analyst
The Channel Company
02.2021 - 08.2024
Data Analyst, Bioinformatics
Ultragenyx Pharmaceutical
08.2020 - 10.2020
Data Science Consultant - Practicum
360 Intel
10.2019 - 05.2020
Data Science Consultant - Practicum
The Music Hall
10.2019 - 05.2020
IT Business Management (Data & Corporate Functions) - Summer Intern
Santander Bank
05.2018 - 08.2018
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