Aarya Darak

Cornell '25 | Process Engineering @ Intel
Recent graduate from Cornell University Master of Science program and previous experience at Intel Corporation and Zoetis. Passionate about process engineering, data analysis, and manufacturing process improvement. Pursues advancements in chemical engineering with a focus on research and innovation.
Aarya Darak
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About Me

Education

Cornell University
Master of Science in Chemical Engineering
Expected Graduation: May 2025
Current Student (August 2023 - May )
Institute of Chemical Technology
Bachelor of Technology in Pharmaceutical Sciences
Graduated: 2023
Duration: 2019 - 2023

Relevant Courses & Skills

Process Engineering
Data Analysis
Manufacturing Process Improvement
Chemical Reaction Engineering
Transport Phenomena
Process Control Systems

Experience

August 2024 - May 2025
Ithaca, New York

Graduate Teaching Assistant

Cornell University - BioG 1500 Investigative Biology Laboratory

Served as a Teaching Assistant for undergraduate biology laboratory courses, helping students with experimental design, data analysis, and laboratory techniques. Supporting students in their investigative biology coursework and research projects.

Teaching Laboratory Management Data Analysis Student Mentoring
May 2024 - August 2024
Albuquerque, New Mexico

Process Engineering Intern

Intel Corporation

Worked as a Process Engineering Intern at Intel Corporation, gaining hands-on experience in semiconductor manufacturing processes. Contributed to process optimization initiatives and supported engineering teams in improving manufacturing efficiency.

Process Engineering Manufacturing Semiconductor Process Optimization
May 2022 - August 2022
Mumbai, Maharashtra, India

Summer Intern

Zoetis

Completed a summer internship at Zoetis, a global animal health company. Gained experience in pharmaceutical processes and contributed to various projects in the pharmaceutical sciences field.

Pharmaceutical Sciences Animal Health Research Process Development

Projects

P

Process Optimization Research

Research project focused on optimizing chemical processes through data analysis and statistical modeling. Applied Six Sigma methodologies to improve manufacturing efficiency.

Six Sigma Process Optimization Data Analysis Statistical Modeling
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M

Manufacturing Analytics

Data-driven approach to manufacturing process improvement using Python for data analysis and visualization. Implemented statistical process control methods.

Python Data Visualization Statistical Process Control Manufacturing
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C

Chemical Engineering Research

Graduate research project in the Engstrom Research Group at Cornell University, focusing on advanced chemical engineering principles and process development.

Research Chemical Engineering Process Development Cornell University
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Skills

Programming & Analytics

Python
Data Analysis
Statistical Modeling
Process Control
Six Sigma
MATLAB

Engineering Specialties

Process Engineering
Chemical Engineering
Manufacturing
Process Optimization
Pharmaceutical Sciences

Certifications

Six Sigma Black Belt
Python Data Structures
Python Web App
Pre Final Certificate
Youth Math Challenge

Languages

English (Full Professional)
Hindi (Native)
Spanish (Elementary)

Contact Me

Get In Touch

Location
Research Group
Engstrom Research Group
Engstrom Research