Kolin Boorom

Miami, FL 954-***-**** adl1yd@r.postjobfree.com

EDUCATION

University of Miami Coral Gables, FL

MS Business Analytics; BS Accounting; BS Business Analytics May 2021 ACT: 33

Relevant Coursework: Stochastic Modeling and Time Series Analysis, Python, R, SQL, Linear & Non-Linear Regression, C++, Database Architecture, Machine Learning I & II, Advanced Accounting Honors: Accelerated MAcc and MSBA Program, Cane’s Presidential Scholarship, Accounting Honors Society WORK EXPERIENCE

Xendoo ($2M/Yr Fintech Startup) Ft. Lauderdale, FL Strategy Analytics/Data Scientist May 2019 – Present (FT Aug 2019)

● Worked with COO and CTO to design a system of core operational metrics and build the company’s data architecture. The project included the creation of custom data pipelines, a new ETL stack (DBT, Fivetran, Snowflake, S3), the creation of a CD/CI process, and a custom report delivery system. My responsibilities as project lead included gathering functional requirements from COO, managing a team of 3 consultants, hosting bi-weekly standups, and meeting with key stakeholders. I later became the lead engineer and was in charge of managing the creation and documentation of all report and feature requests. The project gave the COO the ability to monitor every area of the customer journey and resulted in a ~50% decrease in report request delivery times

● I actively use Analytical SQL (Snowflake & MySQL), Python, DBT, Google Apps Script, and Git from the command line in a live CD environment. I’ve used Trello, Monday, and Jira to create and plan tickets for agile sprints, and use Confluence and Github to keep an active repository of the codebase and documentation.

● Led project to redesign customer onboarding experience. Deliverables included a fit-gap analysis, outlining the existing process, and the implementation of communication monitoring KPI’s to identify bottlenecks. The project resulted in a ~13% increase in maximum onboardings per day and a ~25% decrease in average onboarding time

● Analyzed 3 years of customer data to assist CMO and CEO develop an ideal customer profile. The project included data cleansing in Pandas and visualization in Tableau to inform marketing tests and adjust the pricing of our products. This resulted in a 52% increase in the blended price average of our products and a 0.6% decrease in monthly churn rates.

● Worked alongside CEO to co-author investment briefs, pitch materials, and answered live questions from prospective VC investors to assist in closing the company’s seed round Medical Air Services Association ($100M/Yr Supplemental Insurance Startup) Ft. Lauderdale, FL Accounting & Data Analytics Intern May 2018 – August 2018

● Designed an Excel dashboard to congregate data from the company’s financial statements utilizing VBA, macros, advanced lookup functions, and logical statements. Presented final project to the CFO, Senior Comptroller, and Senior Financial Analyst, leading to its company-wide implementation

● Worked with Senior Financial Analyst to draft FY 19 budget by auditing expense reports and making projections through excel models

SKILLS, ACTIVITIES & INTERESTS

Languages: Advanced SQL, Python (Pandas, Numpy, Seaborn, TensorFlow, Keras), R (dplyr, shiny), HTML, CSS, Intro to C++, Intro to JS/ Node, Conversational Spanish Technical Skills: AWS, Tableau, Mode, DBT, Fivetran, Stitch, Airflow, Quickbooks, Xero, Microsoft Office, Excel (VBA, Macros, Power Pivot etc.)