About
Hello! Thank you for visiting my website. I am a fourth year Cognitive Science student minoring in Computer Science and concentrating in Neuroscience (Biological Foundations). I am very interested in Artificial Intelligence (Machine Learning, Deep Learning, Computer Vision) and Data Science.
- Degree: Bachelor of Cognitive Science - Minor in Computer Science
- School: Carleton University
- Email: induminiuj@gmail.com
I am an innovative, hard working, and passionate student looking to build experience and grow in the AI field.
Resume
To download the PDF of my resume, click here .
Education
Bachelor of Cognitive Science, Minor in Computer Science & Neuroscience
Carleton University, Ottawa
2018 - 2022
Relevant Coursework: Abstract Data Structures/Algorithms, Discrete Mathematics, Artificial Intelligence, Systems Programming, Operating Systems, Neuroscience Data Analysis, Database Management Systems, Machine Learning, Cognitive Science and AI
Courses/Certifications
AI for Medical Diagnosis
DeepLearning.ai - Coursera
Current
Machine Learning
Stanford - Coursera
Current
Introduction to Cloud Computing on AWS for Beginners
DigitalCloud Training
Current
Professional Experience
Data Scientist - Intern
May 2021 - Aug 2021
Government of Canada, Remote
- Trained JohnSnowLabs Sentiment Analysis model (87% accuracy) and researched other models (HuggingFace, VADER, TextBlob, Flair)
- Explored and replicated studies/research in Sentiment Analysis
- Data pre-processing/cleaning, creating sample datasets, implementing model with Spark
- Observed model performance using Multi-class Classification Metrics (Precision, Recall, F1-Score), and confusion matrices
- Presented results to technical peers, product owners, analysts as well as non-technical audiences
- - pandas, numpy, pyspark, sparknlp, matplotlib, sklearn
Teaching Assistant
June 2021 - Aug 2021
Carleton University, Remote
- TA for Symbolic Logic course
- Held office hours to help students understand course material
- Graded assignments and exams
Data Scientist - Intern
Sept 2020 - Dec 2020
Government of Canada, Remote
- Developed data visualization tools using plotlyJS with Angular (SQL, Livy)
- Analyzed and documented program maintenance metrics
- Attended stand ups, weekly SCRUM meetings, tracked tasks on JIRA
UX/UI Developer- Intern
May 2020 - Aug 2020
Government of Canada, Remote
- Helped develop service gateway portal using MS Dynamics 365 CRM
- Created business workflow and user stories/journeys
- Designed mock-ups and wire frames for effective user interface using Balsamiq
Projects
In a field as vast as AI, I think its important to explore the different areas within it. I've shared some AI related projects as well as some previous programming projects.
Logistic Regression and K-Fold Implementation
Implemented LR model and K-Fold validation from scratch. Performed EDA on Parkinson's and Stocks dataset.
NLP Text Classification - Reddit
Implement Bernoulli Naive Bayes classifier with Laplace Smoothing from scratch (without any libraries)
Supply Shopping
Use is presented with a list of supplies and their costs. The user enters how many items they would like to purchase, and the total is calculated.
Chess Winner Status
The user enters the status of their current chessboard, and the program decides if there is winner or not. Then, they are able to move their players and re-evaluate the status of the board.
Movie Predictor
The user answers a series of questions based on the (currently limited) database of movies. Based on the sequence of answers, the program outputs the matching movie.