Built an interactive browser-based app to analyze uploaded audio files and recommend suitable analog circuits (such as filters and logic gates), complete with live schematics and waveform visualization.
Developed a machine learning web app using Flask and a Random Forest Classifier to predict patient appointment cancellations and optimize hospital scheduling.
Designed a user-friendly interface for seamless Excel uploads and real-time predictions, streamlining hospital resource allocation and enhancing communication with non-technical stakeholders.
Analyzed real LIGO data to simulate gravitational wave signals from black hole mergers, performing time-series analysis, spectral filtering, and signal extraction above detector noise.
Used Markov Chain Monte Carlo (MCMC) methods to fit gravitational waveform models and extract astrophysical parameters, including the chirp mass of binary black holes.
Developed computational models to simulate electromagnetic wave propagation through periodic photonic crystal structures, with a focus on dark matter detection using integrated photonic platforms.
Analyzed guided and radiative mode coupling, computed field profiles, and explored novel designs for enhanced light-matter interactions relevant to quantum sensing and fundamental physics.
Experience
Canadian Hydrogen Intensity Mapping Experiment (CHIME) – Undergraduate Research Assistant April 2025 – Present | Toronto, ON
Conduct signal processing and statistical analysis of fast radio burst (FRB) data from the CHIME telescope as part of a nationally collaborative astrophysics project.
Utilize Python-based tools to automate data retrieval and analysis, supporting the identification and interpretation of transient radio signals in time-domain astronomy.
Contribute to real-time data pipelines and engage in interdisciplinary teamwork across astrophysics, computing, and engineering.
The HEATED Lab – Undergraduate Research Assistant April 2025 – Present | York University, Toronto, ON
Conduct DFT simulations with Quantum ESPRESSO on the Narval cluster to investigate heat dissipation mechanisms in advanced semiconductor materials.
Utilize Python (ASE, pymatgen) and shell scripting to automate ab initio workflows and analyze phonon-mediated thermal transport in next-generation electronics.
CIBC – Application & Software Developer (Co-op) Jan 2025 – May 2025 | Toronto, ON
Collaborated with product delivery teams to manage the full application lifecycle, from development to deployment and maintenance.
Developed, tested, and deployed multi-platform applications using Python, Java, and SQL, improving CIBC’s digital banking solutions and enhancing client-facing experiences.
Contributed to continuous improvement through ongoing maintenance, issue resolution, and cross-functional teamwork.
Department of Physics & Astronomy, York University – Undergraduate Research Assistant April 2024 – August 2024 | Toronto, ON
Modeled and analyzed light propagation through photonic crystals, contributing to new theoretical advances in dark matter detection.
Employed computational physics tools to simulate electromagnetic waveguides and understand the quantum properties of novel materials.
Private Business: Swiftly Physics – Tutor & Academic Coach Dec 2022 – Present | Remote/Toronto, ON
Provide tailored math and physics tutoring, designing custom lesson plans and resources for high school and university students.
Foster academic growth and confidence by monitoring progress, offering personalized feedback, and preparing students for exams through targeted mentorship.
H2O Float Studio – Administrative Assistant & Keyholder January 2023 – Present | Toronto, ON
Manage front desk operations, appointment scheduling, and administrative workflows to optimize efficiency and guest experiences in a wellness environment.
Provide exceptional customer service by coordinating spa services and ensuring a seamless guest journey.
Starbucks at SickKids Hospital – Shift Supervisor June 2017 – August 2022 | Toronto, ON
Led a team to deliver top-tier customer service and manage store operations, including scheduling, administration, and compliance with safety standards.
Implemented operational improvements, enhanced team performance, and boosted store profitability through strategic problem-solving and effective leadership.
Computational Physics & Data Analysis:
Computational Modeling, Data Visualization (Matplotlib, Seaborn, Tableau), Machine Learning (PyTorch, TensorFlow, scikit-learn, Deep Learning), Monte Carlo Simulations, Numerical Methods, pandas, Signal Processing, Statistical Analysis, NumPy, Data Preprocessing
Project & Program Management:
Agile (Scrum, Kanban, XP), JIRA, Confluence, MS Project, Change Management, Risk & Issue Tracking, Compliance Processes, Cross-functional Team Collaboration
Communication & Problem-Solving:
Analytical Thinking, Multidisciplinary Team Collaboration, Innovative Problem-Solving, Adaptability in Evolving Environments, Rapid Learning of New Technologies, Strong Organizational Skills, Technical & Scientific Communication, Effective Presentation Skills, Task & Deadline Prioritization, Clear Documentation, Time Management, Technical Troubleshooting, Stakeholder Engagement, User-Focused Design
Leadership
Student Advisory Committee Member (York U) Science Student Ambassador (York U) Class Representative (Multiple Courses) Tutoring: Swiftly Physics
Advocacy, outreach, and inclusive mentorship.
Featured Project
Analog Circuit Sound Designer
Interactive web app mapping audio files to analog synth circuits. See Live App →
Contact Utkarsh
Email:sid1336@my.yorku.ca
You can copy my email and send a message at any time.
