Data Analyst

UTKARSH MOHAN

**** * **** **, *** Angeles CA, ***07 840-***-**** ******@***.*** www.linkedin.com/in/umohan2000 SUMMARY

I am a graduate student from USC, seeking job/research opportunities in machine learning, optimization and network systems. I am passionate about utilizing data to drive impactful research and contribute to advancements in these fields. EDUCATION

University of Southern California Los Angeles, USA Master of Science in Electrical and Computer Engineering (3.87/4.0) August 2023-May 2025

• Major - Machine Learning and Data Science

Manipal Institute of Technology Manipal, India

Bachelor of Technology in Electronics and Communications Engineering (8.73/10.0) July 2018-July 2023

• Minor in Digital Marketing

SKILLS

Programming Languages: Python, C++, SQL, R, MATLAB, Verilog, Lua Data Science Tools: TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib Platforms: Snowflake, Databricks, Azure, AWS

Tools: GitHub, Jupyter Notebook, Visual Studio, MATLAB, JIRA, Tableau, Simulink, Cadence Pspice Statistical Techniques: Regression, Hypothesis Testing, Experimental Design, Clustering Machine Learning & AI RESEARCH EXPERIENCE

University of Southern California Los Angeles, California Research

• Facilitating under guidance of Prof. Steve Cargo on Efficient and Secure AI on the Edge

• Aim is to create an adaptive, robust edge system for efficient deployment of various AI models on distributed edge devices University of Southern California Los Angeles, California Directed Research

• Facilitated under guidance of Prof. Peter A. Beerel on Distributed ML Inference Security of LLMs

• Developed a low-cost, efficient distributed ML inference framework that enhances security on edge devices by incorporating redundancy for Byzantine fault detection

• The approach detects malicious behavior with 99% accuracy within just 46 inferences while incurring only a 10% increase in computational overhead, effectively mitigating risks compared to traditional cloud-based ML solutions University of Southern California Los Angeles, California Graduate Researcher

• Developed a custom deep neural network model to detect and classify pituitary tumors in MRI images

• Collaborated with medical professionals to validate deep learning model, ensuring clinical relevance and integration into a diagnostic workflow for early detection of pituitary tumors Manipal Institute of Technology Manipal, India

Undergraduate Researcher

• Executed in-depth research on the Unification of GPU Graphical Processing and Computation Architecture, with a focus on boosting the synergy between graphical and computational tasks under Prof. Rahul Ratnakumar

• Investigated the application of unified GPU architecture in the healthcare sector, particularly in medical imaging, real-time patient monitoring, and bioinformatics

• Proposed methodologies for optimizing GPU architectures to handle large datasets in fields such as image recognition and natural language processing (NLP)

• Analyzed potential reductions in training times by up to 40% and improvements in model efficiency by 25% leveraging parallel processing techniques across GPUs

PUBLICATIONS

• “An Efficient Distributed Machine Learning Inference Framework with Byzantine Fault Detection” Utkarsh Mohan, Xuan Zhou, Peter A. Beerel. Submitted to GLSVLSI 2025. (Accepted) ACADEMIC PROJECTS

Personalized Variant Insight Explorer Los Angeles, California Project Lead March 2025-May 2025

• Developed and deployed a secure full-stack application on AWS EC2 for parsing and analyzing user-uploaded genomic VCF files

• Designed RESTful APIs with JWT-based authentication and used pm2 for process reliability and handled large-file streaming using readLine to prevent memory overload. Collaborated in a 3-member team Disaster Tweet Classification Los Angeles, California Project Lead September 2024-December 2024

• Developed a robust system for classifying tweets as either real disaster or not. It's essential for emergency response organizations

• Conducted comprehensive data preprocessing, including keyword and location feature handling, using methods like RAKE and YAKE for keyword extraction to improve prediction accuracy in noisy data environments

• Integrated a Human-in-the-Loop framework to increase model accuracy with iterative human feedback, achieving an F1 score improvement beyond baseline goals

Deep Learning Model for ASL Recognition Los Angeles, California Project Lead January 2024-April 2024

• Created a multi-image classification model using PyTorch, recognizing American Sign Language gestures in real-time video streams

Digital Personalization Model Los Angeles, California Project Lead May 2024-July 2024

• Developed NLP-based sentiment analysis models to extract customer insights for business applications

• Utilized PyTorch and TensorFlow to fine-tune transformer models for better performance on constrained environments leading to a 30% increase in customer engagement

WORK EXPERIENCE

Fastenal India Bangalore, Karnataka, India

IT Quality Assurance Intern January 2023-May 2023

• Utilized statistical methods and data analysis tools to streamline automation testing processes across 20+ applications

• Applied operations research techniques to optimize automation testing strategies, achieving over 50% improvement in efficiency

• Documented detailed knowledge artifacts for a team of 2, including comprehensive test plans, case designs, and procedural guidelines, ensuring streamlined knowledge transfer and increased internal processes ABB Bangalore, Karnataka, India

Technology Leader June 2022-August 2022

• Integrated data analytics tools to monitor system performance and identify optimization opportunities

• Researched emerging technologies such as machine learning to boost automation capabilities in industrial applications

• Improved operational efficiency, leading to 20% cost savings and a 15% increase in throughput LEADERSHIP ACTIVITES

Viterbi School of Engineering Los Angeles, California Graduate Course Producer for EE-559 January 2025-Present

• Support the course by grading assignments, holding office hours to assist students, and providing guidance on course content on Machine Learning Supervised Methods. Additionally, collaborate with the professor on the course's implementation and structure

Viterbi School of Engineering Los Angeles, California Graduate Teaching Assistant for EE-483 January 2025-Present

• Managed in designing and grading homework assignments to support students with course material for digital signal processing Viterbi School of Engineering Los Angeles, California Graduate Course Grader for EE-538 May 2024-Dec 2024

• Designed and implemented an automation script in C++ to streamline the grading process for a graduate course, reducing manual effort and improving grading accuracy

Viterbi Graduate Student Association (VGSA) Los Angeles, California Vice President of Treasury May 2024-Present

• Advocated for Student Well Being: Collaborated with VGSA leadership to promote wellness initiatives, including mental health awareness and accessible student spaces ensuring holistic well-being of graduate students

• Spearheaded Event Planning and Coordination: Participated in organizing VGSA signature events such as Viterbi Ball and So-Cal GPS and department specific initiatives

• Represented Graduate Students: Acted as a liaison between Electrical and Computer Engineering department and VGSA addressing student concerns and voting on proposals Viterbi Admissions and Student Engagement (VASE) Los Angeles, California Graduate Orientation Leader December 2023-Present

• Facilitated Student Integration: Guided over 500+ new students through academic and campus transition during Viterbi Orientations, providing personalized support and smooth adaptation to graduate school environment

• Spearheaded Event Coordination and Public Speaking: Delivered 2-hour orientation speeches to group of 30+ students, utilized advanced public speaking skills to foster connections between students and corporate partners Beanies for Preemies, Viterbi Impact Los Angeles, California Volunteer Sept 2024-Present

• Knitted tiny beanies to support premature newborns in the NICU – helping them retain body heat and regulate their temperature as they grow stronger

USC Annenberg Media and Centre Los Angeles, California Photographer January 2024-Present

• Led Media Coverage for University Sports Events: Directed the photography of high-energy action shots of USC Football, Basketball, Volleyball, Water-Polo games, producing visually engaging content promoting student life and enhanced community engagement

Daily Trojan, USC Los Angeles, California

Photographer January 2024-May 2024

• Curated and designed engaging weekly photography themes for USC students, exploring concepts such as time travel, black and white photography, and reflections

SOLA Robotics, Viterbi Impact Los Angeles, California Volunteer Lead May 2024-May 2024

• Led Robotics Education Initiatives: Directed hands-on robotics workshop and technology training for under deserved youth in South Los Angeles, empowering students of color with skills fostering both personal growth and STEM career pathways

• Built a Collaborative Learning Environment: Created an inclusive, supportive community where students worked together on robotics projects developing technical skills

Sandra Cisneros Learning Academy (TinkerTheRobot), Viterbi K-12 STEM Center Los Angeles, California Teacher August 2023-December 2023

• Mentored and Guided Young Learners: Provided leadership and mentorship to young students during design challenges Revels Fest Manipal, India

Core-Committee Leader (MIT Gaming) April 2022-April 2022

• Organized and Led Gaming Events: Spearheaded the planning and execution of gaming events, including a VR and AR section, attracting significant student participation

• Secured Sponsorships and Managed Budgets: Collected funding from sponsors to fund the event, managing the budget and resources

ADDITIONAL INFORMATION

Scholarship: Frederick Angus Gross Scholarship (USC 2025) Awards: Viterbi Graduate Student Association Leadership Award (USC 2025), Excellence in Service Award in ECE (USC 2025), Outstanding Mentorship Award (USC 2025), Secured 2nd place in Physics Exhibition during High School (2017), Ranked 12th in State and 300th Internationally in International Mathematics Olympiad (2017), Ranked 3rd in state and 120th internationally in International Mathematics Olympiad (2018), Earned 2nd place in Antenna Designing Competition at Fest (2018) Relevant Courses: Linear Algebra, Probability, Digital Signal Processing, Software Computing Principles, Computational Introduction to Deep Learning, Machine Learning (Supervised Methods), Convex Optimization for Information and Data Sciences, Machine Learning II: Realms and Algorithms, Applied and Cloud Computing

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