Hello!

I'm Ayush Bajgai



Master of Data Science

My works

About

About Me

I hold a Master's degree in Data Science and Artificial Intelligence with a strong computational background, bringing over 4+ of experience in developing and deploying AI-driven solutions. My expertise lies on Machine Learning (ML) and deep learning (DL), where I design and implement neural networks, natural language processing systems, and computer vision applications using frameworks like TensorFlow, PyTorch, and Scikit-learn. I'm proficient in Python and R for statistical modeling and predictive analytics, with hands-on experience in algorithm optimization, feature engineering, and model evaluation.


My computational skills extend to handling large-scale data processing with Apache Spark and Hadoop, building ETL pipelines, and leveraging cloud platforms like AWS for scalable AI deployment. I'm passionate about pushing the boundaries of AI whether it's training transformer models, implementing reinforcement learning algorithms, or applying advanced analytics to extract meaningful insights from complex datasets. Beyond the technical work, I excel at translating AI concepts into practical business solutions, leading cross-functional teams, and communicating sophisticated computational methods to both technical and non-technical stakeholders.

  • Profile: Data Science & AI Engineer
  • Domain: Data Science, Machine Learning, & Applied AI
  • Education: Master of Data Science in AI and Computational Modelling
  • Programming Languages: R & Python
  • Data Analysis: ETL Piplelines, Matplotlib, Seaborn & Tableau
  • Other Skills: Cloud, Git, UI/UX, & Designer
  • Language: English, Nepali
  • Interest: Playing Games, Soccer, Photography & Trekking

0 +   Projects completed

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Resume

Resume

A Tech-Savvy with over 4+ experience in software development, project management and technical support with a strong ability to analyze complex daata. Proven expertise in data science, statistical analysis and machine learning algorithms.

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Experience

Experience


Jun 2024 - Present

Retail Analyst

Three Mills Bakery

Three Mills Bakery, a premium bakery brand specializing in fresh breads, pastries, and high-quality café products with a focus on consistency and quality.

  • Analyzed POS transaction data using Odoo to track daily sales performance, revenue trends, and product-level demand.
  • Conducted inventory analysis for bread and frozen stock, including stock ageing, turnover ratios, and wastage identification.
  • Generated sales and inventory insights to support pricing decisions, product mix optimization, and promotional planning.
  • Supported marketing performance analysis by evaluating campaign impact and product visibility using sales data.
Inventory Optimization Retail Data Analysis Data-Driven Decision Making
Jan 2022 - Jan 2024

Operation & Administration Officer

Landmark Manpower Solution Pvt. Ltd.
  • Collaborated with more than 20+ employees to make changes to processes and helped people at all levels of the company, ensuring operations run smoothly with efficient management.
  • Utilized Excel and internal databases to generate weekly performance reports and insights.
  • Maintained and cleaned large datasets related to recruitment, visa processing, and client communications to ensure data accuracy and compliance.
  • Collaborated with international clients to ensure accurate data exchange and documentation tracking across projects.
Data Reporting Stakeholder Collaboration Data Management & Cleaning
Aug 2020 - Jan 2022

Tech Support Specialist

Landmark Manpower Solution Pvt. Ltd.
  • Ensuring office security through respect to safety protocols and controlling access via the help desk.
  • Established and kept up an office information database, offering data-driven insights to visitors and staff via phone, email & personal interactions.
  • Provided first-line technical support for internal systems, resolving hardware, software, and connectivity issues across the company.
  • Acted as liaison between non-technical staff and IT providers, ensuring clear communication and timely resolution of technical issues.
IT Service Desk Technical Support Data Administration & Systems
Mar 2020 - Sep 2020

Jr. Android Developer (Internship)

Ayata Incorporation
  • Utilized Android Studio to develop and deploy mobile applications, engaging in the whole project life-cycle from analysis to deployment.
  • Designed and developed responsive and user-friendly UI/UX using Android Studio, XML & Java programming languages.
  • Implemented Firebase services, including Firebase Authentication & Realtime Database, to build scalable and secure backend systems for Android applications.
Android Application Development API & Cloud Backend Integration Java Programming


Education

Education


2024 - Present

Master of Data Science in AI and Computational Modelling

University of Canberra
2018-2022

Bachelors in Honors Computing

Leeds Beckett University
2016 - 2018

Intermediate (+2 HSEB)

Uniglobe Higher Secondary School
2006 - 2015

Secondary Education Examination

Little Angels' School

Projects

Projects

Below are the sample projects on SQL, Python, Laravel, Php, Javascript, R programming & and ML.

Lung Nodule Segmentation and Malignancy Classification Using Deep Learning

Deep learning–based lung nodule segmentation and classification system developed using MAW-Net, wavelet attention, and CNN models on CT scans

Medical Image Analysis MAW-Net CNN

Interactive R Shiny Dashboard for Australian Residential Dwellings Analysis

Interactive R Shiny dashboard developed for analyzing Australian residential dwelling prices and counts using dynamic filtering, visualizations, and heatmaps.

R Shiny Data Visualization Time-Series Analysis

Fashion MNIST Image Recognition using Logistic Regression

Classified images from the Fashion MNIST dataset into 10 categories of clothing using logistic regression, achieving high accuracy in predicting the correct class of a given image.

Machine Learning Model Evaluation Image Classification

Predicting Resale Value of Used Smartphones Using Machine Learning

Machine learning–based pricing system developed to predict used smartphone resale values using regression and classification models on historical sales data

Predictive Analytics Feature Engineering Scikit-learn

Weather-Based Flight Delay Prediction Using AWS SageMaker and Machine Learning

Machine learning classification system deployed on AWS SageMaker to identify weather-induced flight delays using US aviation data

AWS SageMaker Tableau Model Deployment

Predictive Modelling and Analytics of the Sydney Restaurant Market

Data-driven predictive modelling project analyzing Sydney’s restaurant ecosystem using EDA, regression, and classification models to predict pricing and ratings

EDA Classification Models Neural Networks

Speech-to-Text Application with Google API Integration

An android application with a real-time speech recognition system that transcribes spoken words into text with minimal latency.

API Integration Speech-to-Text Mobile Application Development

E-commerce Website Development for Netflix Reselling and Entertainment

Developed an effective backend system to handle Netflix accounts, track orders & offer real-time updates to customers

E-commerce Development Database Management User Account Management
0 Years of IT Experience
0 Years of Data Analysis Experience
0 Projects Worked On
0 % Commitment to Data Science and AI

More projects on Github

I love solving business challenges & uncovering hidden data stories.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Canberra, ACT

WhatsApp

What's app me

Email Address

[email protected]

Download Resume

Resume Link



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