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Yash Amethiya

Data Scientist | Software Developer

I am always on the lookout for my next challenge and eager to connect with professionals. If you have any opportunities for data science you think I would be a good fit, don't hesitate to reach out.

Skills, Tools & Technologies

Programming Languages
C
Python
Java
C++
PHP
C#
JavaScript
Scala
TypeScript
Databases
Oracle SQL
MySQL
MongoDB
SQLite3
PostgreSQL
Data Science & Tools
Data Analysis & Visualization
ML
DL
Excel
Tableau
Power BI
Anaconda
Sprotty
Infrastructure & Soft Skills
Git
Github
Linux/Unix
Docker
Story telling
Leadership
Frontend
HTML
CSS
Tailwind
Bootstrap
Next js
React js
Angular
D3 js
ScalaJS
Backend & Frameworks
Node js
Express js
Django
Flask
ASP.NET MVC
Langium

Experience

As a Computer Science enthusiast with a passion for unlocking insights from data, I am excited about leveraging my foundational programming knowledge and analytical skills to delve into the dynamic world of Data Analysis and Data Science. Eager to apply theoretical concepts in real-world scenarios, I am driven to explore diverse datasets, implement statistical methodologies, and employ cutting-edge tools to derive actionable intelligence and contribute meaningfully to solving complex problems in this evolving field.

Aurora

Software Developer
Aurora Constellations

August 2024 - Present


  • Designed and implemented a Domain-Specific Language using Langium for creating structured patient medical plans.
  • Developed dynamic visual diagrams for patient treatment workflows using Sprotty.
  • Built a VS Code extension to integrate DSL-based language support, enabling syntax highlighting, auto-completion, and error checking.
  • Integrated a Patient Tracker system and backend server directly within the VS Code extension, improving accessibility for healthcare professionals.
  • Worked with Scala.js for frontend components and ensured seamless integration with the backend services.
YEP

Software Developer
Aurora Constellations, Youth Effect Program by Northwestern Ontario Innovation Centre

July 2024 - August 2024


  • Optimized patient data retrieval by upgrading the patient tracking system using ZIO, reducing response time by 30%.
  • Designed and deployed a scalable PostgreSQL database schema in Docker, improving data consistency and maintainability.
  • Implemented REST API endpoints using Tapir, enabling seamless communication between the frontend and backend.
  • Enhanced code reliability and API stability by writing unit tests and rigorously testing endpoints with Postman, ensuring a bug-free deployment.
  • Collaborated with senior developers in code reviews, improving code quality and aligning with industry best practices.
  • Successfully completed the Youth Effect Program, contributing to real-world software solutions and expanding technical expertise.
ResearchGraduate

Research Graduate
Lakehead University

September 2023 - April 2024


  • Published a comprehensive method utilizing a Region-Based Convolutional Neural Network (RCNN) with VGG19 to achieve a ~93% detection accuracy in PDF pages, while deploying smart pre-processing techniques like Smudging.
  • Fine-tuned a split-and-merge technique for table structure recognition, yielding a weighted average F1 score of 52.3%, surpassing SOTA CascadeTabNet's score of 23.2%, ensuring generalizability across diverse document sets.
LUCS

Teaching Assistant
Lakehead University (Dept. of CS)

January 2024 - April 2024


  • Assisted in organizing and conducting C programming labs for a diverse group of 45 undergraduate students, resulting in improved understanding and application of coding concepts.
  • Led C++ programming labs for approximately 70 undergrad students, offering individualized support to clarify doubts and enhance their coding abilities.
  • Graded and provided feedback on lab assignments and exams for a class of 45 students, ensuring accuracy and fairness in assessment.
LUIntl

Peer Mentor
Lakehead University International

July 2023 - April 2024


  • Mentored around 50 new international students and helped them adjust to the university
  • Communicated with mentees regularly and resolved their issues
  • Shared Computer Science knowledge and tips with mentees
  • Provided reliable information about Lakehead University and its resources
  • Recorded student data and tracked mentees' progress on Excel
  • Coordinated airport arrivals for incoming students in the fall
IPR

Research and Project Intern
Institute for Plasma Research

December 2021 - April 2022


  • Led a team of 4 to develop a project named “Deep Learning for Object Detection in a live video feed”.
  • Collected around 15000 images using web scrapping, pre-processed them and labelled them using Labelimg.
  • Achieved accuracies above 95% by Transfer learning from deep neural networks like MobileNet, ResNet, Inception, and VGG for image classification and did object detection using TensorFlow.
  • Integrated 4 different models into a web application using Django Framework for live object detection.
Verzeo

Machine Learning Intern
Verzeo

May 2020 - July 2020


  • Implemented a cutting-edge Machine Learning algorithm based on the latest research.
  • Performed descriptive and inferential statistics on a large dataset of over 7400 samples.
  • Explored the data using Seaborn and Matplotlib libraries to uncover hidden patterns and insights.
  • Leveraged the acquired knowledge to build a car price prediction model & achieved 91.1% accuracy on real-time testing.

Projects

  1. Medical Image Captioning on Chest X-Rays

    Skills: Python, Long Short-Term Memory (LSTM), CheXNET Model

    Extracted the information from Indiana University's dataset, consisting of almost 7500 images and 4000 reports.
    Organized the unbalanced by performing data pre-processing tasks like up-sampling and down-sampling.
    Captured the semantic meaning & relationship between the words by using GloVe vectors with 300 dimensions.
    Fine-tuned the CheXNET Model for encoding and achieved around 90% accuracy and a loss of less than 0.01.

  2. Video Game Sales Dashboard

    Skills: Data Cleaning, Tableau

    Worked on the Video Game Sales dataset from Kaggle which includes 10 attributes and more than 16000 samples.
    Devised an interactive Dashboard on Tableau to find the insights and relationship between the genre, year and sales.

  3. Currency Recognizer

    Skills: Research, Computer Vision, Scale-Invariant Feature Transform (SIFT), Python, MobileNet, Data Collection

    Collaborated on a project to replicate and enhance a research paper.
    Developed a fine-grained currency recognizer for the visually impaired using CONGAS and SIFT-based features.
    Engineered a system with exceptional precision and recall, employing a lightweight coarse classifier and fine-grained recognition.
    Led the creation of a diverse dataset (300 images per US banknote) with varied conditions for robust model training and evaluation.
    Implemented a pre-filtering classifier and utilized SIFT features to optimize recognition accuracy for visually impaired users.

  4. Qualitative Bankruptcy Classification

    Skills: Analysis, Python, Multi Layer Perceptron

    Developed a Multilayer Perceptron (MLP) from scratch, incorporating Backpropagation and Stochastic Gradient Descent with Momentum (SDGM) algorithms.
    Attained a successful learning curve, demonstrating effective model training and optimization.
    Utilized parameters referenced from the paper 'The Discovery of Experts' Decision Rules from Qualitative Bankruptcy Data Using Genetic Algorithms' by Myoung-Jong Kim and Ingoo Han for an existing dataset.

  5. Half Adder Circuit Design using Perceptron

    Skills: Logic Gates, Python, Feed Forward Perceptron

    Designed a Half Adder circuit using a Feedforward Perceptron, showcasing practical implementation skills in neural network architectures.
    Employed the Unit Step function as an Activation Function within the circuit design, demonstrating familiarity with various activation functions.
    Developed AND and NOT logic gates, subsequently constructing a NAND Gate, highlighting expertise in logic gate implementations and circuit design.

  6. Online Vehicle Renting System

    Skills: Bootstrap, Django Framework, Python, Jinja3, SQLite3

    Designed and developed a web system using Django Framework for online vehicle booking/renting.
    Accelerated the performance with optimized programming & reduced system failure metrics for parallel requests.
    Fashioned the user interface using Bootstraps and CSS for easy single-button click navigation.
    Operated and loaded the live user, vehicle and rent request data using Jinja.

Publications

Springer
Automatic Table Detection and Tabular Data Extraction from Scanned Documents

Publication: Springer, Journal: Springer-Smart Innovation, Systems and Technologies (SIST)

April 2024

Read more
Elsevier
Comparative analysis of breast cancer detection using machine learning and biosensors

Publication: Elsevier, Journal: Intelligent Medicine

October 2022

Read more

Certificates

MTA: Introduction to Programming Using Python

Microsoft

Issued September 2020

Data Science Math Skills

Coursera

Issued October 2020

Python for Data Science, AI & Development

Coursera

Issued October 2021

Introduction to Data Analytics

Coursera

Issued October 2021

Volunteering

Operations Manager & Director of Volunteers

TEDxLakeheadU · January 2025 - March 2025

I led the coordination and management of event operations, ensuring seamless execution of all activities. I oversaw the recruitment, training, and management of a dedicated volunteer team, fostering a collaborative environment to support event success.
My responsibilities also included streamlining logistical processes, managing timelines, and collaborating with various teams to deliver a high-quality experience for both speakers and attendees.
This role honed my leadership, organizational, and communication skills while delivering an impactful event that adhered to TEDx's high standards.

International Orientation Volunteer

Lakehead University International · January 2023 & September 2023

I guided new international students at the university and assisted a group in meeting its goals.

Student Ambassador - C2U Expo

Lakehead University · June 2023

Community-College-University Exposition at Lakehead University, helped with the presentation setup and being room volunteer.

Marshal - Convocation

Lakehead University · May 2023

Help organize graduates by their platform card numbers and ensure they're ready to enter the auditorium 10 minutes before the ceremony starts, ensuring a seamless procession.

Mathematics Teacher

Rotaract Vadodara One-Anurakti · December 2019 - February 2020

Taught math to unprivileged children in a small village every weekend.

Honours & Awards

Best Paper Award, FICTA-2024 Conference

Issued by London Metropolitan University, UK & Springer · June 2024

Lakehead Makes Leader: There is no 'I' in EDI Equity, Diversity, and Inclusion

Issued by Lakehead University International · April 2023

Lakehead Makes Leaders: Think Like a Leader

Issued by Lakehead University International · November 2022