Eshaan Ballal

As a second-year engineering student with a solid foundation in programming, I’m deeply interested in the fields of artificial intelligence and machine learning. Eager to apply my coding skills to innovative, real-world projects, I actively seek opportunities to learn and grow. With a strong commitment to continuous learning, I aim to explore emerging technologies and make meaningful contributions to the AI/ML

• Leukemia Classification Using ML: Activation Function Analysis:

Worked on a 4 week long research paper oriented project called "Activation functions comparison for leukemia classification" for an IEEE OSPI event held by PES University which was based on using machine learning algorithms to detect different types of leukemia. I worked on applying algorithms such as gelu, leaky relu etc on a database of blood cell images and tested it using a database of known classifications to acquire a high success percentage (80+).

• Intro to Robotics Workshop – ARTPARK, IISc, Bengaluru:

Participated in a 2 day course on "Introduction of Robotics" during the month of July at ARTgarage, ARTPARK, Indian Institute of Science (IISc), Bengaluru Karnataka. I learnt and mastered topics such as Basics of Robots, Actuators, Sensors, Algorithms to navigate and Building a Robot. My team and I applied the above to create a robot using Arduino such that it can navigate any course using a sensor.

• Deep Learning with PyTorch – CNNs, RNNs & Supervised Learning (Udemy):

Completed an Online Course on Udemy called "Deep Learning for Beginners: Core Concepts and PyTorch" by Seungchen Lee where i learnt about Deep learning as a whole and how to apply more advance neural networks like Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) etc. I also learnt how to apply Pytorch and Supervised learning into any AI-Based Project.

• Finance Fundamentals: CAPM, Valuation, and Economic Indicators – Udemy:

Completed an Online Course on Udemy called " Finance Fundamentals: Complete guide fundamentals of finance" by Finance Geeks, where i learnt the Finance fundamentals and building blocks of finance. Some notable learning points are the Risk Reward model -Capital Asset Pricing Model (CAPM Model), learning how Bonds/Options and Equity are valued, learning how interest rates, yield curve , inflation , exchange rates affect our lives and businesses etc.

• Deep Learning & AI with TensorFlow 2 – NLP, Time Series, and Stock Prediction (Udemy):

Ongoing an Online Course on Udemy called "Tensorflow 2: Deep Learning & Artificial Intelligence" by Lazy Programmer Inc., where I'm learning the application of Tensorflow and how to apply Natural Language Processing (NLP) with Deep Learning. I'm also learning several Deep learning based applications like Predict Stock Returns ,Time Series Forecasting and Learning Stock Trading Bot.

• Complete Flutter Development with Dart (Udemy):

Ongoing an Online Course on Udemy called "The Complete Flutter Development Bootcamp with Dart" by Dr. Angela Yu, where Im learning how to build and Android or IOS app using Flutter. Other notable learning point is the application of Building an iOS or Android apps using just one programming language (Dart) or just one database etc.

• Head of Marketing Domain , IEEE CS PES University
• Member of Marketing Domain, IEEE RAS PES University
• Member of Hospitality Domain, Change Makers Society Club, PES University
• Member of Campaigning Domain, Music Club, PES University
• Member of Social Media Domain, Nexus Club, PES University

• Represented Badminton team of DPS North from 2014-2019
• State Ranked 21 in Under-13 category for Karnataka, 2016
• Runner-Up of Karnataka State Open Junior Badminton Tournament 2017
• Runner-Up of LeapStart Badminton Championship 2016