Professional Life
On a mission to constantly learn and grow.
Internships
Software Engineer Intern
Carrier
May 2023 — August 2023
Collaborated with cross-functional teams to integrate machine learning solutions into existing software infrastructure with an objective of automating diverse embedded systems
Leveraged Python, TensorFlow, scikit-learn frameworks to develop predictive models with over 91% accuracy
Deploy ML models into microcontrollers using C/C++, MATLAB and Simulink and integrating them into the battery systems of electric vehicles (EVs) to optimize Energy Management Systems (EMS)
January 2023 - May 2023
Analyzed data across Quality, Social Media departments to improve efficiency using data science methods, tools
Integrated speech analytics into an automated quality evaluation process and developed new compelling data visualizations/dashboards using Power BI to help stakeholders understand complex data
DTE Energy
Data Science Intern
Academic Work Experience
Researcher
Institute of Quantitative and Health Sciences at MSU
May 2024 — Present
Deploy a machine learning model for fracture detection in pediatric X-rays, enabling public access.
Built a robust backend using Python and Flask to integrate the model into a cloud-based server environment.
Implemented processing DICOM files, generating PNG images with detected fractures shown by bounding boxes.
Undergraduate Learning Assistant
January 2024 - May 2024
Michigan State University
Undergraduate Learning Assistant
Michigan State University
August 2023 - May 2024
Undergraduate Learning Assistant
Michigan State University
Undergraduate Learning Assistant
August 2023 - December 2023
Undergraduate Learning Assistant
August 2021 - May 2022
ULA: Introduction to Engineering Design (EGR 100)
Facilitated the introduction and understanding of first year students in the field of Engineering.
Enhanced the learning experience by actively assisting students in hands on projects such as building an Arduino circuit, creating an app and building a solar car.
Instructed the students in a way that helped them learn and absorb the course material better.
Supervised students in a classroom and laboratory setting.
ULA: Matrix Algebra with Computational Applications (MTH/CMSE 314)
Guided students through Linear Algebra’s core concepts and applications, emphasizing computational techniques.
Demonstrated methods for solving problems, improving understanding of matrix algebra and numerical complexity in mathematical and statistical linear algebra problems, and focused on applications like algorithms, Big-O notation, and eigenvalue problems.
ULA: Object Oriented Software Design (CSE 335)
Facilitated the learning process for a course on object-oriented programming in C++ with over 190 students.
Assisted students in troubleshooting programming issues and debugging code across various platforms such as CLion, Doxygen, Visual Paradigm, and wxFormBuilder.
Guided students in implementing unit tests and applying test-driven development methodologies to ensure software quality and reliability.
Highlighted the importance of project management using tools such as Trello, and Git while working in teams.
ULA: Computational modelling and Data Analysis I (CMSE 201)
Taught fundamentals of programming in Python and fostered logical problem-solving skills in code.
Introduced students to functional programming in Python, including variables, types, functions, and basic data structures (strings, lists, tuples).
Enabled them to use libraries like Pandas and Numpy for effective file and dataset manipulation, plotting and visualization.
Introduced basic numerical techniques such as statistics, linear regression, difference equations, agent-based modeling, and numerical integration.
ULA: Computational modelling and Data Analysis II (CMSE 202)
Guided students to understand, create computer automated workflows to manipulate, analyze and visualize datasets create models.
Introduced students to scientific computing techniques such as Signal Processing, Graph Theory, and machine learning concepts like Regression, Classification, Decision boundaries, Principal Component Analysis, etc.
Guided the students in using tools such as GitHub and version control for collaboration with others.
Enabled them to identify and analyze pre-existing techniques, software packages, and computing libraries in Python.
Michigan State University
Michigan State University
August 2022 - May 2023
Leadership / Volunteering Experience
Technovation Lead Mentor
Resident Assistant
Michigan State University
August 2022 - May 2023
Michigan State University
August 2022 - December 2022
Facilitated the establishment of a positive environment that supported students’ academic and personal success while living in the dorms at Michigan State University.
Formed connections with students and promoted social unity within the community while advocating the values of diversity and inclusion.
Lead Mentor for Virtual Technovation MSU 2022 - https://msu-cse-outreach.github.io/technovation/Fall2022/index.html
Led the virtual mentors in Technovation MSU to facilitate a 9 week intensive coding program for students in grades 8-12.
Administered successful learning of coding in the programming language Python.
Women in Engineering Mentor
Michigan State University
Youth Mentor
Michigan State University Women In Engineering Outreach
February 2022 - May2022
Assisted in developing a K-12 outreach program for students taking STEM classes set to launch in Fall 2022.
Ensured that the program exposes students to engineering role models and the career paths in the field of engineering.
Strived to increase diversity in engineering through the program.
August 2021 - May 2024
Professional Affiliations
Society of Women Engineers
Michigan State University and Northwestern University Chapter
Women in Computing
Michigan State University Chapter
Society of Data Scientists
Michigan State University - Vice President