As a Senior Analyst in Supply Chain Analytics at Kellanova, I leverage data to drive strategic insights and optimize processes. I specialize in automating ETL workflows and using advanced analytics tools to enhance decision-making. My role includes collaborating with stakeholders to ensure project alignment and leading initiatives that improve efficiency and foster business growth.
View ResumeEmploy statistical models to analyze intricate datasets, extracting valuable insights to support data-driven decision-making across diverse domains.
Craft responsive and user-friendly web applications, combining creativity with technical expertise to deliver engaging digital experiences.
Secure digital assets and networks against unauthorized access, ensuring data confidentiality, integrity, and availability.
This project involves scraping and analyzing NFL Combine data from 1987 to 2024, encompassing diverse performance metrics of football players. Its primary goal is to extract and organize data from the NFL Combine website, focusing on player statistics, physical measurements, and performance. Through systematic analysis, the project aims to uncover trends and insights into the NFL Combine over nearly four decades.
This project uses logistic regression to model leukemia treatment response with patient data, examining various pretreatment variables. It includes single-variable models focusing on Age and Time predictors, as well as multiple logistic regression with all relevant factors. Additionally, it analyzes a Facebook experiment on emotional contagion, suggesting revisions to address ethical and methodological concerns.
This project introduces a user-friendly web application designed to aid in scripture memorization. Users can select passages to recite verbally, with the application providing feedback on their accuracy. Featuring an intuitive interface and user-centric design principles, it ensures a seamless and engaging experience. By offering effective tools for memorization, the application aims to strengthen users' connections with scripture.
This project emphasizes agile project management using Rails 7, simplifying configuration processes and integrating JavaScript for enhanced functionality. It employs ActiveJob for efficient background task management and introduces real-time features through WebSockets and ActionCable. Rigorous testing frameworks ensure reliability, scalability, and facilitate seamless and broader accessibility to users.
This project unveils an AI Image Generator powered by OpenAI's API, facilitating swift and accurate image creation from text inputs. Its intuitive interface and robust backend processing guarantee seamless functionality, ensuring users can effortlessly translate their creative ideas into stunning visuals. Rigorous testing and internationalization efforts are employed to enhance reliability and accessibility across diverse user demographics.
This project strengthens the security of the "hackme" platform through focused actions against important web vulnerabilities. Solutions include managing passwords within sessions, ensuring strong authentication encoding, integrating CSRF tokens, and validating inputs. Moreover, it employs prepared statements to reduce risks from SQL injection, building user confidence and preventing unauthorized access attempts.