Denner R.
Data Scientist

Skills

Airflow

Julia

Github

Databricks

Microsoft Sql Server

Python

Denner is available for hire

Meet Denner R.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

Data Scientist with extensive experience in statistical modeling, machine learning, and dashboard development, focusing on the credit and collections sector. Specializes in developing scoring models and customer clustering and classification techniques to estimate credit risk and delinquency. Proficiency in creating simulations to analyze customer portfolio profitability and devising models for optimizing email communication conversion.

Notable achievements include constructing convolutional neural networks for image identification utilizing TensorFlow and Keras, and developing a classification model using neural networks. Successfully increased email communication conversion by 12% through the implementation of a LightGBM classification model. Enhanced debt collection performance by 10% with logistic regression models using Sci-Kit Learn. Additionally, contributed to the development of an internal library of functions to improve model infrastructure, available for use by various teams within the organization.

Data Scientist
4/1/2023 - Present

Responsible for creating and maintaining the main model for credit card customer admission. Developed and maintained a model using customer account transaction data to estimate defaults, utilizing TensorFlow. Created and developed a Monte Carlo simulation in Julia language to estimate the profitability of the payroll loan portfolio. Gained experience with code versioning tools, specifically Git and GitHub.
Strategy Analyst
5/1/2022 - 3/1/2023

Oversaw the credit card collection strategy for customers up to 75 days late, encompassing data analysis, dashboard creation with PowerBI, and the development of machine learning models. Developed a customer clustering model utilizing logistic regression with Sci-Kit Learn to enhance communication strategies. Created a default risk model for customers with credit involving the adjustment of credit limits, leveraging LightGBM.
Data Scientist
7/1/2021 - 4/1/2022

Worked as a data scientist for credit product creation, developing conversion and engagement models for email communications utilizing Databricks, PySpark, and Sci-Kit Learn. Created fully automated dashboards using Databricks and PowerBI, and built databases for model use using SQL. Demonstrated technical expertise in data modeling, machine learning, and data visualization tools and frameworks.
Data Analysis - Collection
9/1/2017 - 7/1/2021

Managed the collection strategy for a bank branch, focusing on optimizing financial recovery processes. Developed and implemented detailed analyses to identify and target clients with the highest payment potential, using this data to inform strategic decisions. Created an intuitive and comprehensive dashboard for reporting purposes, ensuring key stakeholders had access to critical information in real-time. Demonstrated expertise in financial analysis, data visualization, and dashboard development tools to enhance operational efficiency and decision-making.