Data Science & Analytics Professional with AI Focus

Jonathan Davenport

******@*******.*** • 412-***-**** • Pittsburgh, PA, 15232

Education

Cornell University, Cumulative GPA: 3.82 Ithaca, NY B.A. Major: Information Science, Minors: Artificial Intelligence, Business August 2022 - May 2026 Technical Skills

Python, SQL, R; AWS S3, IAM, Linux, TCP/IP, DNS, HTTP; Power BI, Tableau, Excel, ArcGIS; TensorFlow, PyTorch, scikit-learn; A/B testing, hypothesis testing, regression, causal inference, time series Certification: AWS Certified Cloud Practitioner

Work Experience

Data Science Intern May 2025 - August 2025

NextEra Energy, Juno Beach, FL

Transformed raw geospatial files into analysis-ready feature layers used by internal stakeholders, improving downstream usability.

Wrote and validated SQL queries for a map-based search workflow, troubleshooting schema mismatches and join issues to ensure accurate results.

Produced stakeholder-ready maps and visual summaries, translating technical findings into clear recommendations for planning teams.

Consulting Extern July 2025 - August 2025

PwC, Remote

Conducted messaging strategy experiments using A/B testing frameworks, identifying approaches that could boost client engagement by 23%.

Synthesized model findings into client-ready visuals and presented insights to PwC mentors and executive sponsors. Student Researcher June 2024 - August 2024

Texas A&M University-Kingsville, Kingsville, TX

Published a research paper on a novel hybrid algorithm created in Python to optimize wireless-sensor-network clustering/routing, improving energy efficiency and extending network lifetime in simulation.

Completed data processing for large simulations, standardized data, and documented data quality for reproducibility.

Benchmarked algorithmic performance against GA, PSO, and Tabu Search, achieving lower energy consumption. VP of Recruitment

Cornell Sports Analytics, Ithaca, NY February 2023 - August 2025

Led a group of 4 to perform statistical analysis using Python, applying regression modeling and clustering techniques to identify and present the key performance indicators to determine the best place to shoot in a penalty shootout.

Served as a cross-team advisor, providing methodological guidance and feedback to project groups across the club.

Organized workshops on Python analytics and visualization for 30+ club members, improving project consistency Projects

CSV cleaning pipeline in the cloud

Created a cloud-based data processing workflow using AWS S3 and Python to clean and organize raw CSV files.

Uploaded raw datasets to cloud storage, applied preprocessing steps, and saved cleaned outputs for downstream use.

Structured the project to separate raw and processed data layers in support of repeatable analytics workflows. Cloud file storage app

Built a cloud file upload application using Python and AWS S3 to store and manage user-submitted documents.

Connected a frontend form to cloud storage and tested end-to-end upload functionality across multiple file types.

Applied IAM-based access controls to securely manage permissions for file storage operations. Log Monitoring Script

Built a Bash script to scan Linux log files for failed logins, errors, or unusual activity.

Filtered and summarized key events using command-line tools such as grep, awk, and sort.

Improved familiarity with Linux troubleshooting by tracing errors through system-generated logs. AWS Serverless To-Do Application

Developed a serverless task tracking application using AWS Lambda, API Gateway, DynamoDB, and S3 to manage basic task records in the cloud.

Integrated a cloud-hosted frontend with REST API endpoints to support adding, viewing, and deleting tasks.

Configured cloud services to create a lightweight application without managing traditional servers.

Contact this candidate