Jon Finger Email & Phone Number

Remote

- Upgraded support ticket classification software to utilize Google’s PALM2 llm via Vertex AI. ~2,000 Salesforce support tickets per week are analyzed for sentiment, key issues, and resolutions via custom python code. Resulting data arE stored in GBQ and made accessible for teams on superset and sheets.- Helped research and prototype modern customer chatbot solutions from google, chatgpt, and open source models- Maintained monthly automated reporting of customer support slides to resellers/resellers- Assisted with feature development in company-wide customer churn prediction model using GBQ and python. Predictions from this model are used by teams to triage potential churn before it happens. - Maintain airflow DAG for customer churn prediction and reporting. 10,000 customers have their churn risk and top 3 reasons predicted each month using a scikit learn random forest model.

Remote

- Designed a support ticket classifier -- able to automatically label incoming support tickets based on the language and metadata- Built and maintain an automated monthly reporting tool. This tool creates >50 figures from multiple partners and labels/bundles them into sharable PDFs-- turning 4-5 days of work into 10 minutes- Supported customer-facing teams with data analysis and automation of daily data tasks- Mentored teammates on software development, machine learning, and data science methods- Spearheaded and tested the data team’s transition from windows-based development to linux- Nicknamed "that NLP guy" for extensive work into discovering current trends in support tickets, calls, and chats

Algonquin, Il, United States

District 300's in-house data scientist. Tools used: MS SQL, Python, Dash, Tableau, Git, SKLearn, Google Data Studio.- Created district's COVID dashboard located on the organization homepage using Google Data Studio to track COVID cases- Managed the tableau server application, including job scheduling, user imports, and contacting IT/vendor as needed- Designed Tableau reports for teachers, staff, and admin connecting multiple sources of student information- Explored quantitative relationships between important educational metrics and student information (e.g. demographic information or survey responses)- Engineered and maintained Python Flask apps providing custom data solutions and task automation for staff

Master Of Science - Ms, Biology, General

Activities and Societies: - Presented at Evolution Conference (Sao Paulo, Brazil) - Preliminary research presented at EVO-WIBO (Fort.

Endorsement, Data Science

Activities and Societies: DSpt4 StudentFull-time, intensive Data Science and Engineering training. Learning: - Statistics - Python.

Abd Ph.D, Ecology And Evolutionary Biology

Completed through proposal defense as Ph.D. Candidate in Zoology at WSU School of Biological Sciences. ABD. Completed preliminary exams.

Bachelor'S Degree, Biology, General

Activities and Societies: Biology Club Phi Beta Kappa (ΦBK)Studied Biology with an emphasis on evolution, ecology, and botany.