About Me
I'm a recent graduate with a Masters in Engineering, specializing in analytics and computer engineering, with my academic journey set to conclude in June 2023. My coursework has delved deep into the realms of machine learning, AI, and cloud technologies, equipping me with the skills necessary for the field of data analytics. Proficient in SQL and Python, I'm on the hunt for a full-time role as a Data Analyst. With a flexible approach to teamwork and the ability to thrive as an independent worker, I adapt swiftly to any situation. A quick learner by nature, I relish new challenges. Outside of work, you can find me expressing my creativity through drawing and crafts, or enjoying physical activities like the fast-paced game of badminton.
Academics
- University of Toronto - Master of Engineering in Electrical and Computer Engineering (2021-2023)
- PSG Institute of Technology and Applied Research - Bachelors in Engineering in Electronics and Communication Engineering (2015-2019)
Experience
Data Science Intern
Statistics Canada, Canada
March 2023 - October 2023
Web Developer
University of Toronto, Toronto, Canada
May 2022 - August 2022
Data Analyst
Nexxus Portal, Toronto, Canada
January 2022 - April 2022
Data Analyst
Temenos, Chennai, India
July 2019 - July 2021
Test Engineer Intern
Temenos, Chennai, India
January 2019 - June 2019
Projects
Subjective/Objective classifier
Created a web tool using Gradio and deployed two ML models from scratch to predict whether a given sentence is a subjective/Objective sentence using Pytorch and NumPy. Tools such as Pytorch, Gradio, Python, Numpy, ETL, Transformers were used.
Netflix Stock Price Prediction Analysis
LSTM Prediction model using pandas data frame to predict the stock price of Netflix. Metrics like White Reality Check, CAGR, Sharp Ratio, SMA, MACD were performed.
DLR (Destructive Language Rater)
Extracted datasets, performed data cleaning, and applied classifiers for BERT based model which classifies the toxicity in social platform comments using Pytorch and compared BERT model with baseline model.
N3D (Neural Network Number Detector)
Experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale. An image classification model created with Keras and TensorFlow, which create, train, and evaluate neural networks.
Squad
A Django based web application which allows students to create rooms and connect based on common interest. Uses Django inbuilt database to store and access data.
AWS Web Development using Python
Created a web page for users to store and view images. Used AWS services like S3, RDS, DynamoDB, CloudWatch, Custom Metrics. Integrated Flask, HTML, CSS, SQL, Python and JavaScript.
Emergency Vehicle Dispatch and Routing system
Implementing bio-inspired algorithms (Firefly Algorithm, Ant Colony Optimization, Adaptive ACO) using python for a real time problem and comparing the best working algorithm for emergency vehicle dispatch.
My Contact
vishnupriya.rajendran@mail.utoronto.ca
vishnupriyarmu@gmail.com
Phone
+1 (647)-819-4184
Location
Toronto, Canada