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UPenn MCIT

Program Description:

Penn Engineering’s accelerated MCIT Online degree combines Ivy League quality with the flexibility of a virtual experience.

Designed specifically for students who are new to computer science, MCIT Online offers the same innovative curriculum and high-quality teaching as Penn’s on-campus program. Regardless of what you studied as an undergraduate, motivated students will build a strong foundation in computer science and gain real-world coding skills.

Core courses and electives blend computer science theory and applied, project-based learning. You’ll use real-world tools and environments such as TensorFlow and Amazon Cloud, and you’ll have ongoing access to Penn Engineering faculty and TAs through live office hours and discussion forums.

Requisite coursework:

• Software Design
• Data Structures
• Algorithms
• Computer Systems Programming
• Computer Networks
• Discrete Math
• Statistics for Data Science
• Big Data Analytics
• Machine Learning for Data Science
• Introduction to Artificial Intelligence

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UConn BSE - Mechanical Engineering

Program Description:

The Mechanical Engineering program at the University of Connecticut educates students in basic engineering, science, and mathematical principles and prepares them for rewarding careers in engineering.

The Bachelor of Science degree offers opportunities for students to create their own area of focus or to take electives to explore an interest in another professional school or program.

Requisite coursework

• Calculus I/II/III
• Differential Equations
• Linear Algebra
• Computational Mechanics
• Thermodynamics I/II
• Fluid Dynamics I/II
• Heat Transfer
• Propulsion
• Turbines & Centrifugal Machinery
• Senior Design Project

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RTX - Pratt & Whitney

Senior Software Engineer, Analytics

• Technical lead driving architecture design for web application and ETL replatform in AWS cloud environment
• Developing ETL pipeline in Databricks (Spark) to consolidate a single source of truth for flight data across teams, ensuring the data calibrating engineering physics-based models is consistent with data informing business teams
• Built dashboard and service to alert fleet managers when airlines’ operations deviate from their contract terms, informing recommendations to airlines on how to shift operations for longer time on wing & less shop visits
• Building RAG, text-to-SQL layer into enterprise AI platform to propagate engineering analytics data thru the business

Software Engineer II, Analytics

• Refactored app’s ETL process to reduce runtime by 98% by optimizing Python (pandas) and SQL operations
• Performed engine failure time analysis by fitting field data to Weibull distributions, informing hot section redesign
• Trained a random forest ML model to predict engine shop visit cost with 90% R2– used to optimize maintenance scope

Software Engineer I, Analytics

• Automated process to generate induction performance report for maintenance engineers prior to engine shop visits, consolidating pertinent flight data & analytics into one report – yielding time savings of 5 hours per shop visit
• Developed analytic using scipy to recommend cost optimized engine work scopes to maintenance engineers

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TRIUMPH

Systems Engineer II

• Developed thermal system models using Engineering Equation Solver (EES) to design and analyze legacy and prototype environmental control systems (ECS) in response to new business requests (RFP, RFQ, RFI)
• Wrangled performance analysis data and generated relevant data visualizations to highlight stakeholders’ key interests
• Communicated with external stakeholders to clarify requirements and present current status and final output

Systems Engineering Intern

• Designed test automation tool to digitize data storage, eliminate human error, and reduce test turn-around time using macros with Excel VBA
• Modified VB script to automatically create custom templates for CAD engineering drawings in CATIA V5
• Performed lab acceptance testing procedures for OEM and MRO refrigerant screw compressors and thermal expansion valves

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UConn ITS

IT Specialist

• Responsible for imaging computers, installing, and maintaining hardware/software for UConn staff on Windows and MacOS
• Assisted users to reset passwords, check network connectivity, manage Active Directory accounts
• Maintained appropriate records, ticketing system, and communications to ensure proper tracking of necessary support tasks