Udbhav Prasad
Innovator. Developer. Dreamer.
About Me
Hi, I'm Udbhav! I'm currently a 4th year Computer Science Student and Math Minor at Ryerson University. I enjoy working with data and AI.
My skills include the following:
Python , SQL , Java , C++ , Scala , MATLAB , R , Prolog , LaTeX
Spark , Splunk , Kafka , Hadoop , NiFi
Azure , Databricks , Docker , Linux , Git , CMake , JMeter , PyCharm
PyTorch , PySpark , scikit‑learn , NumPy , Pandas , Flask , Matplotlib , Seaborn
Experience
Cyber Security Analyst @ Royal Bank of Canada
January 2022 - August 2022
Analyzed large amounts of data to produce reports to discover suspicious activity with Splunk
Updated intelligence knowledge base and threat profiles from discovered threats
Research Assistant @ Ryerson University (St. Michael's Hospital)
January 2022 - April 2022
Created visualizations & neural networks(RNNs & Transformers) for time series analysis and prediction on crypto market in Python
Perform Biomedical Image data analysis to create effective image unmixing algorithms in MATLAB
Application Programmer @ Ministry of Health
September 2020 - August 2021
Independently created 2 Proof-Of-Concept (POC) applications for distributed log streaming with scalability in focus; implemented on ministry servers and Azure Cloud Platform
Created a 6-node cluster where I installed/configured many (Big Data) software in cluster mode(Spark, Kafka, NiFi, Hadoop) intended for use by other developers and POC applications
Created Python GUI application with openpyxl and tkinter to automate Excel reports' formatting for Ontario Disability Requirements which saved manual formatting of 100s of Excel files
Performance tested two web servers with JMeter to determine maximum concurrent users resulting in clearance for Production use
Wrote scripts in JavaScript and Python for GUI to change and backup web-pages in production server (Apache Server)
Personal Projects
Transformer Implementations
Transformer Implementations and some examples with them
GANs Implementations
GANs Implementations and other generative models
Neural Style Transfer Web App
Flask Application for Neural Style Transfer Between two Images with PyTorch
Certifications
Fundamentals of Reinforcement Learning
Credential ID: ZYKGRPY5EWQW
Issued October 2021 by Coursera
Machine Learning Data Lifecycle in Production
Credential ID: LWBL3LPJNM5Z
Issued June 2021 by Coursera
Deep Learning
Credential ID: HR5PJ7VVUR9M
Issued October 2020 by Coursera
Generative Adversarial Networks
Credential ID: F4PAWA2T2638
Issued January 2021 by Coursera
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