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• Manage multiple medium projects in Agile model by overseeing schedules and concurrent tasks for developers
• Conduct meetings with key stakeholders to gather requirements, analyze and finalize project charter, collaboratewith IT director and stakeholders to develop project success criteria, enhancing stakeholders satisfaction
• Translate user stories and application requirements into precise functional and technical requirements, thusstreamlining development process and accelerating product delivery time
• Design and execute robust testing phases, reducing post-release defects by 20%, and ensuring seamless producttransitions to stakeholders by providing user interface and experience mockups
• Evaluated products from a user-centric perspective, delivering Minimal Viable Solutions during tight deadlines
• Led Agile project to develop PowerApps solution that decreased yearly paperwork by 80% amongst 3 departments

Granville, Ohio, United States

• Researched project Optimal treatment routes for opioid overdose in OH using Python Gurobi, results created in Tableau
• Performed Unsupervised Learning model (clustering) to reduce model run time by 50% in R
• Doubled number of potential patients, reduced 50% of patients and clinics’ daily travel time and operation cos

Granville, Ohio, United States

• Built a dynamic dashboard analyzed yearly athletes’ performance statistics to drive seasonal training decisions
• Queried, extracted, and validated weekly data from client database to prepare interactive Tableau visualizations
• Developed performance metrics, followed by bi-weekly updates on testing and result validation with end-user
• Trained end-user on utilizing the dashboard in training process, thus improving dashboard engagement and client’s satisfaction

Newark, Ohio, United States

• Provided recommendations of annual event schedules and of marketing tactics based on customer’sdemographics data
• Extracted, cleaned, and analyzed customer and weather trends of biennial dataset and 2 external datasets
• Designed a Supervised learning model in Python for accessing customer demographic dataCollaboratedwith project sponsors to delineate the objectives and prerequisites of report requests
• Delivered descriptive analyses results to C-level stakeholders in visualizations and layman language

Granville, Ohio, United States

• Analyzed Indirect and direct correlation between growth and reproduction in plant using R blavaan
• Partnered with supervising professor to construct causal models Structural Equation Modeling to predict plantgrowth and reproduction relationships using time-series data
• Wrangled three-year dataset (40 variables, 300 observations) to follow model’s data format in R tidyverse and dplyr
• Managed project lifecycle by updating project daily log to ensure models’ reproducibility for future researchers