Summary
Overview
Work History
Education
Skills
Projects
Professional Development
Hobbies and Interests
Timeline
Generic

Lane Bentley

Denver,,CO

Summary

Experienced Data Analyst with a comprehensive background in research and analytics. Proven track record in developing extensive datasets and dashboards, applying advanced data analysis techniques across various sectors. Proficient in tools like Qlik Sense, Tableau, Power BI, and Azure. Passionate about leveraging data to enhance decision-making processes and predictive modeling. Passionate about sports and sports betting industry.

Overview

3
3
years of professional experience

Work History

Business Intelligence Developer

Full Speed Automotive
Denver, CO
11.2022 - 03.2024
  • Collaborated with IT, Operations, Marketing, Finance, and HR to translate business needs into deliverable dashboards and reports. Gathered requirements and facilitated actionable insight discussion. Developed and deployed automated emailed reports sent to 300+ users. Created and maintained dynamic reporting tools in Tableau and Qlik Sense, helping drive business decisions for executives and departments. Created dashboards for multiple bonus incentive programs.
  • Developed automated ETL pipelines to ingest data from vendors like Google and created datasets. Developed customer demographic and customer transaction datasets. Lead discussions in KPI and database key development. Queried datasets using SQL and python pandas.
  • Led the migration of data systems from Qlik Sense to Azure, developed scalable data architecture for multiple data sources. Ensured a seamless transition by being legacy system expert and managing quality assurance.
  • Responded to over 150+ tickets involving updates and fixes. Developed an early identification email alert to get ahead of report and data failures. Identified, presented, and solved issues regarding data integrity and accuracy.
  • Worked with POS sale data from over 300 storefronts to run analysis that provided insights into multiple aspects of the company such as sales growth, customer retention, and risk management. Ran analysis on customer segmentation by spend and purchasing order. Led analysis that identified and highlighted unknown profit leakage.

Data Analyst

CrowdDoing
Remote
08.2021 - 12.2021
  • Led a team project analyzing weather and wildfire data to identify prevention strategies, showcasing strong project management and analytical skills. Facilitated group discussions and idea mapping within team.
  • Coordinated with clients and team members to deliver comprehensive reports and presentations, highlighting key findings in a detailed advisory report delivered to the Chief Data Science Officer.

Data Analyst Intern

Roulac Global
Remote
06.2021 - 08.2021
  • Compiled and analyzed datasets related to real estate and crowdfunding markets, employing Python for data processing and analysis. Compiled datasets on visitor data by collaborating with 13 tourism councils.
  • Produced detailed reports on market trends, delivered to the CEO contributing to investment decisions.

Education

Data Analytics Bachelors With Economics Concentration -

Denison University
Granville, OH
05.2022

Skills

  • SQL
  • Python
  • Qlik Sense
  • Tableau
  • Power BI
  • Microsoft Excel
  • Azure
  • Team Collaboration
  • Data Visualization Techniques
  • Data Warehousing
  • Data Quality Management
  • Data Modeling
  • Project Management
  • Business Analysis
  • Sentiment Analysis
  • Requirements Gathering
  • Natural Language Processing
  • Data Cleaning
  • Data Validation
  • Statistical Analysis
  • Machine Learning
  • Python Packages: XGBoost ,Sklearn, Numpy, Nltk, Pandas, Tweepy, Beautifulsoup, Matplotlib

Projects

NBA Game Prediction - ML Analysis, Denison University, 01/2022 - 05/2022

Conducted NBA Game Prediction Analysis

  • Enhanced Machine Learning Model Accuracy: Improved the accuracy of game prediction models by integrating player performance factors such as miles traveled, rest days, and sentiment analysis scores from players' social media postings on the day of the game.
  • Data Manipulation and Analysis: Compiled and manipulated datasets with differential averages from each game, utilizing various time periods for aggregation. Employed Natural Language Processing (NLP) to create a scoring algorithm for tokenized social media posts.
  • Advanced Statistical Techniques: Implemented principal component analysis for dimensionality reduction to minimize noise and multicollinearity in the data.
  • Model Training and Results: Trained linear regression and gradient boosted decision tree models to predict game winners. Significantly improved the accuracy by incorporating player performance factors into the models. This enhancement led to a 3.7% increase in the accuracy of the PCA-reduced Logistic Regression model.

Professional Development

  • AGILE Project Management Professional Certification (In Progress)

Hobbies and Interests

  • Enthusiast of sports, particularly football and basketball
  • Passionate about data analytics and predictive analytics
  • Strong interest in the sports betting industry

Timeline

Business Intelligence Developer

Full Speed Automotive
11.2022 - 03.2024

Data Analyst

CrowdDoing
08.2021 - 12.2021

Data Analyst Intern

Roulac Global
06.2021 - 08.2021

Data Analytics Bachelors With Economics Concentration -

Denison University
Lane Bentley