Hello, I am Manipal Sidhu

Data Scientist

Web Development

95%

Python/C#/Java

90%

Data Science

80%

Microsoft Azure Data Scientist Associate

Databricks - Generative AI Fundamentals

Google Cloud Essentials

Skills

Data Science

Python
Microsoft PowerBI/Tableau
Apache Spark
Databricks
TensorFlow
Oracle SQL

AI

Deep Learning
Unsupervised Learning
Natural Language Processing(NLP)
Cloud Machine Learning
Supervised Learning
Neural Network
Reinforcement Learning

Web Development

HTML/CSS
JavaScript/Angular
AWS Lighsail
ServiceNow
WordPress/Wix
Nodejs/MongoDB

Portfolio

About me

Data Scientist | Software Engineer

• High Honours graduate of Software Engineering Technology - Co-op program with a specialization in Artificial Intelligence

• Extensive experience with big data & cloud technologies, including AWS, Azure, Apache Spark, Databricks & ServiceNow

• Demonstrated proficiency in managing data pipelines, developing predictive models & creating scalable web applications

• Hands-on experience in deploying machine learning models, feature engineering & exploratory data analysis (EDA)

• Experienced IT professional with a robust background in data engineering, data science & web development

• Skilled in both independent & team-based work, with a talent for building strong professional relationships

• Proven experience in web development, contributing to multiple eCommerce business projects

• Accomplished various AI projects leveraging NLP and diverse Machine Learning techniques

Portfolio

Age Calculator

A simple web app to calculate age based on input date and time.

Supervised Learning

Pre-processed, built & fine-tuned ‘Toronto Police - traffic collisions’ public data. Developed a predictive model to predict injury severity in collisions using Logistic Regression, Random Forest, Decision Tree, KNN, and SVM.

Deep Learning

Explored generative adversarial networks (GANs) for image generation. Leveraged transfer learning with InceptionV3 for enhanced model performance. Adopted innovative techniques in image recognition using deep learning models.

NLP Project

Implemented Sentiment Analysis using VADER and Text Blob in Lexicon approach. Applied Logistic Regression and SVM for Machine Learning-based Sentiment Analysis.

Stock Prediction Framework

Developed a Stock Price Prediction framework for Costco using LSTM for time series forecasting. Compared SVM and Random Forest approaches, proposing a solution combining LSTM and ensemble methods.

Serverless AI-Powered Project

AI-serverless app to extract leads from business cards using AWS Textract, Rekognition & Comprehend. Assembled RESTful APIs with Python and Chalice, integrating S3, DynamoDB and IAM.