Sandeep Sohal

About Me

Hi! I’m Sandeep, a Data Science and Machine Learning enthusiast driven by a deep curiosity for how intelligent systems learn, predict, and extract meaning from data. This passion led me to pursue an M.Sc. in Computer Science at Toronto Metropolitan University, where I specialized in AI and Machine Learning.

This interest also led me into education, where I had the opportunity to teach and mentor students, translating complex technical concepts into clear and meaningful insights. It remains one of the most rewarding parts of my professional journey.

Currently, I work as a Software Integration Engineer, contributing to projects across machine learning systems, data engineering pipelines, enterprise software integration, and client-focused automation solutions. I enjoy working at the intersection of data, intelligence, and systems, and I am always looking to build impactful and scalable solutions.

Outside of work, I enjoy upskilling by actively taking certification courses on platforms like Coursera and regularly updating my skills and certifications on my LinkedIn portfolio. I also enjoy painting, reading, designing models for 3D printing, and connecting with like-minded people, so feel free to reach out if you’d like to connect.

Projects

Machine Learning

FakeNewsDetection

Fake News Detection

Python, BERT, NLTK

NLP Project for detecting fake news articles. ML models including logistic regression, decision tree and DL models such as MLP and BERT are implemented.
skin conditions

Skin Conditions

Python

Currently working on an end-to-end web application to classify skin conditions using deep learning and machine learning models.
Histopathological-Image-Classification

Histopathological-Image-Classification

Python, TensorFlow

Histopathological Image Classification with Pre-Trained Deep Learning Models.
image colorization

Image Colorization

Python, GANs, Autoencoder, VGG-16

This is a reproducibility challenge exploring transferlearning, auto-encoders, and GANs.
Salient-Objects

Salient-Objects

Python, MATLAB

This digital image processing project studies salient object detection while handling occlusion.

sql

Basic SQL Queries

SQL

Advanced SQL queries performed on the Chinook Dataset.
mongodb

MongoDB Project

mongodb, pymongo

Queries performed with mongodb and pymongo.
apache-spark

Apache Spark Project

pyspark, databricks

The databricks platform used to study data with pyspark library.

Software and Design

skin conditions

Skin Condition Wireframe

figma

A wireframe for the skin conditions web application is created with figma.

Courses