Summary
Overview
Work History
Education
Skills
Certification
Projects
Competitions
Languages
Timeline
Generic

Yash Balchandani

Melbourne,VIC

Summary

Specialized in Artificial Intelligence during my studies at Monash University, with proficiency in Machine Learning, NLP, and Computer Vision. Skilled in Python, PyTorch, and TensorFlow, showcasing expertise in developing and optimizing supervised and unsupervised learning models. Eager to leverage advanced AI techniques to create meaningful solutions in innovative and dynamic environments.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Data Scientist Intern

SatSure
10.2024 - Current
  • As a Data Scientist intern at SatSure, I am working on classifying crops using satellite data by leveraging QGIS for interpretability, GeoPandas for geospatial analysis, and developing custom deep learning models for accurate crops classification
  • In my role, I integrate advanced remote sensing techniques with machine learning to enhance environmental insights, helping SatSure drive smarter, data-driven decision-making for enterprises
  • Worked on Segmentation models to accurate classify different types of crops from background data. Also worked on temporal analysis to ensure accurate classification.

Machine Learning Intern

Quick is Cool
03.2024 - 06.2024
  • Developed a deep learning pipeline utilizing OWL-ViT and SAM Models for prompt engineering in Computer vision tasks
  • Implemented the pipeline using PyTorch and COMET for model training, evaluation and output tracking
  • Worked on ChatGPT API to analyze methods for the most accurate prompts related to prompt engineering
  • Created an custom NLP Deep learning pipeline framework for prompt Engineering related tasks

Web Development Intern

The Sparks Foundation
08.2021 - 09.2021
  • Implemented Razor-pay API, HTML, CSS, React, Bootstrap, JavaScript, and jQuery for a banking system and managed databases using SQL and PHP for seamless integration
  • Integrated third-party APIs into web applications, expanding feature offerings and improving site capabilities

Education

Master’s - Artificial Intelligence

Monash University
Melbourne, Australia
07.2024

Bachelors - Computer Engineering

Thadomal Shahani Engineering College
Mumbai, India
06.2022

Skills

  • Deep Learning
  • Machine Learning
  • Geospatial Analysis
  • Python
  • Computer Vision
  • NLP
  • Java
  • Neural networks
  • AWS

Certification

  • Deep Learning. Ai – Coursera
  • LLMOps – Deeplearning.Ai
  • Cybersecurity Fundamentals - Microsoft
  • Python- Microsoft

Projects

VibeRight                                                                Mar 2024- Jun 2024

· Collaborated in an Agile team to develop a health and nutrition platform featuring the "Healthy Food Detector," an image recognition tool that classifies food as healthy or unhealthy.

· Integrated the project with AWS, strengthening expertise in deep learning and demonstrating the value of teamwork and iterative development.


Image Classification using CIFAR-10 Dataset. Aug 2023- Sep 2023

· Trained a Convolutional Neural Network (CNN) on the CIFAR-10 dataset, achieving 81% accuracyin classifying 10,000 images into 20 categories.

· Enhanced results using data augmentation and knowledge distillation and deployed the solution via AWS SageMaker to ensure scalability and efficiency.


Neural Machine Translator                                   Jan 2022- May 2022

· Developed a Python-based translator for converting English to vernacular languages, leveraging LSTM models, POS tagging, and machine learning techniques.


Fake Review Monitoring System.                         Jun 2021 - May 2022

· Built a Python-based system using machine learning (ML), deep learning (DL), and NLP algorithmsto detect fake reviews on e-commerce platforms. Enhanced the authenticity of online reviews by effectively identifying fraudulent content, seamlessly integrating advanced technologies to boost trust in the marketplace.


Cancer Detection from Genetic Variations          Jan 2021- May 2021

Conducted cancer detection and treatment research in Python employing machine learning libraries to analyze patient genetic data and deployed a variety of ML models, including Naïve Bayes, K- Nearest, Logistic Regression, and Random Forest, to enhance diagnostic  precision and treatment strategies.

Competitions

  • Knowledge Distillation Competition, Collaborated with my team to implement knowledge distillation techniques, enhancing model accuracy. Secured 3rd place, earning our team a Certification of Achievement from the Head of the Department (HOD)., 09/01/23
  • Happiness Kaggle Competition, Conducted a survey with 1000 participants, using R for multiple regression to create a predictive happiness model. Achieved a top 10 Kaggle ranking for the lowest RMSE score with diverse transformations and classifier models., 05/01/23
  • Happiness Kaggle Competition, Conducted a survey with 1000 participants, using R for multiple regression to create a predictive happiness model. Achieved a top 10 Kaggle ranking for the lowest RMSE score with diverse transformations and classifier models., 06/01/23

Languages

English
Hindi
Mandarin

Timeline

Data Scientist Intern

SatSure
10.2024 - Current

Machine Learning Intern

Quick is Cool
03.2024 - 06.2024

Web Development Intern

The Sparks Foundation
08.2021 - 09.2021

Bachelors - Computer Engineering

Thadomal Shahani Engineering College
  • Deep Learning. Ai – Coursera
  • LLMOps – Deeplearning.Ai
  • Cybersecurity Fundamentals - Microsoft
  • Python- Microsoft

Master’s - Artificial Intelligence

Monash University
Yash Balchandani