Jennifer Crocker Email and Phone Number

Attended a full-time immersive program to learn the various aspects of Data Science through real-world application of data science principles and best practices. Using various technologies, we learned everything from acquiring data, cleaning and wrangling data, to predictive modeling and visualization strategies. The majority of work was done in Python with the following breakdown:• Data Cleaning/Exploration - Pandas, NumPy, SciPy• Machine learning and Regression/Classification based Modeling - Scikit-Learn and Statsmodels• Natural Language Processing (NLP) - SpaCy, NLTK• Webscraping/Data Mining - Requests, BeautifulSoup• Visualization/Analysis - Matplotlib, Seaborn, Tableau

• Maintained relationships with 7 of our client’s vendors and sent monthly extracts of tables with tens of millions of rows• Cut amount of manual work necessary for 2 daily, 3 weekly, and 2 monthly processes up to 50% with automation and with revamped QC process• Merged 7 tables of tens of millions of rows each and created an algorithm to determine the best contact information for each of 6 million customers

• As product specialist, ran daily standup meetings for a cross-functional Agile team of 10• Adapted a new feature to function on a completely different software in order to expand user access and use• Identified a weak tag on clinical studies that limited search results and increased the tagged studies from 12% to over 70%• Constructed scheduled batch files to run SQL processes for 4 data sources in order to optimize speed and accuracy of loading and manipulating data and eliminate manual work involved• Created 3 separate homepages for our 3 distinct client groups to push the most pertinent data to each group