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Hello, I am Cory

Cory Gargan

Data Analyst

Results-driven Data Analyst with a strong foundation in Python, SQL, and machine learning frameworks such as Scikit-Learn and XGBoost. Adept at leveraging ETL processes, statistical analysis, and predictive modeling to uncover actionable insights that drive business decisions. Experienced in developing automated dashboards, optimizing workflows, and enhancing data accuracy to support executive strategy. A detail-oriented problem solver with a commitment to efficiency, cross-functional collaboration, and data-driven decision-making.

Problem-solving
Communication & Data Storytelling
Critical Thinking
Collaboration & Cross-Functional Teamwork
Adaptability & Continuous Learning
Attention to Detail

Skills

Projects

Predicting Customer Churn
Predicting Customer Churn
Creator 2025

Analysis of Consumer Telecom data. Uses XGBClassifier & RandomForestClassifier to predict customer churn. Includes data cleaning, feature engineering, visualization

Predicting Bicycle Rentals
Predicting Bicycle Rentals
Creator 2025

Analysis of Bicycle rental data. Uses XGBRegressor & LinearRegression to predict future Bicycle rentals. Includes data cleaning, feature engineering, visualization

Big Box Store - Sales Data Analysis
Big Box Store - Sales Data Analysis
Creator 2025

Analysis of sales data from a Big Box store. Includes data cleaning, feature engineering, visualization.

ETL Automation - Python 1
ETL Automation - Python 1
Creator 2024

Python script to automate the ETL process.

ETL Automation - Python 2
ETL Automation - Python 2
Creator 2024

Python script to automate the ETL process.

ETL Automation - Python 3
ETL Automation - Python 3
Creator 2024

Python script to automate the ETL process.

Covid SQL Project
Covid SQL Project
Creator 2022

In this project, MySQL was utilized in order to analyze global Covid-19 data.

Data Cleaning in MS SQL Server
Data Cleaning in MS SQL Server
Creator 2022

Transformed housing data with MS SQL Server to ensure a suitable format for analysis.

Website Voting Automation
Website Voting Automation
Creator 2022 (Updated 2025)

Automated the task of casting votes in order to nominate a Doctor in a local marketing campaign

GUI Version - Website Voting Automation
GUI Version - Website Voting Automation
Creator 2022 (Updated 2025)

GUI Version-Automated the task of casting votes in order to nominate a Doctor in a local marketing campaign

Data Cleaning
Data Cleaning
Creator 2022

Transformed housing data with R to ensure a suitable format for analysis.

MLB Spinrate Analysis
MLB Spinrate Analysis
Creator 2022

Analyzed MLB pitching data in attempt to determine if cheating had occured.

Covid Data Visualization
Covid Data Visualization
Creator 2022

Tableau Data visualization created utilizing views created from the Covid SQL Project.

Experiences

1
CPower Energy

April 2023 - Present

Baltimore, MD (Remote)

CPower enables a flexible, clean energy future by optimizing customer DERs through monetization and Virtual Power Plants, delivering grid flexibility when and where it’s needed most.

Data Analyst

April 2023 - Present

Responsibilities:
  • Utilized Python for ETL automation, data analysis, and workflow management, reducing manual work by 20+ hours per month.
  • Created metrics that were delivered to the VP of Customer Enablement. Gave context to allow an easy understanding of complex topics.
  • Built centralized data pipelines and Power BI dashboards to track KPIs for Sales & Operations.
  • Developed and performed quality checks on data, investigated data discrepancies, collaborated cross functionally to find solutions and communicate timely updates and process improvements across organization.
  • Researched and resolved issues regarding the integrity of data flow into databases.
  • Created and led an initiative to validate the data accuracy of 2,200+ customer accounts annually, this project maintains regulatory compliance with all governing bodies.
  • Developed an automated dashboard for Dynamics 365 activity tracking, increasing visibility and transparency in key business functions.
  • Reduced backlog in pending data validations by 45% in the first two months.
  • Led AI research project for the SVP of Technology, evaluated, tested, and reported on emerging AI platforms for business use.

Price Acoustics

Dec 2021 - April 2023

Bohemia, NY

Price Acoustics is a premier general contracting firm specializing in high-quality acoustical ceilings and drywall solutions, delivering exceptional craftsmanship and precision to every project.

Data Analyst

Dec 2021 - April 2023

Responsibilities:
  • Consolidated disparate data sources, created data pipelines and tableau dashboards for leadership, leading to $100,000+ recovered in unrealized outstanding payments.
  • Utilized Python for data cleaning efforts aimed at improving data accuracy and ensuring compliance for audits.
  • Spearheaded creation of monthly reports consolidating materials procurement and inventory trends, reducing waste and improving cost efficiency and steering data-driven decisions.
2

3
Nassau County Police Department

Oct 2015 - Dec 2021

Mineola, NY

County Police Department

Data Analyst

May 2019 - Dec 2021

Responsibilities:
  • Implemented data entry process change, reduced misidentified persons and data transmission errors by 75%.
  • Led a team of four analysts, ensuring data accuracy and compliance with state and federal regulations.
Police Officer

Oct 2015 - May 2019

Responsibilities:
  • Served in patrol functions and specialized units to ensure public safety.

Education

B.S. in Business Administration

Accomplishments

Google Data Analytics Professional Certificate

The Google Data Analytics Professional Certificate on Coursera is an industry-recognized program designed to equip learners with essential data analytics skills through hands-on training. Covering the full data lifecycle, the course teaches data cleaning, analysis, visualization, and storytelling using Excel, SQL, Tableau, and R. Learners gain expertise in statistical analysis, database management, and business problem-solving, culminating in a capstone project that applies real-world data scenarios. Upon completion, participants earn a Google-certified credential, preparing them for entry-level data analyst roles across various industries.