Ishaan Walia

A modest and diligent computer science graduate, working as a dynamic Online Sales Associate with a proven track record at Jetage Computer Traders and Webnet Asia, excelling in digital marketing and e-commerce management. Successfully enhanced product visibility and driving sales through innovative strategies and website development. Adept at problem-solving and effective communication, I thrive in fast-paced environments and deliver impactful results.

• Tally ERP 9, Udemy, 04/2025, 05/2024
• Cisco Certified Network Associate, Netmax Technologies Pvt. Ltd., 01/2025, 03/2025
• Digital Marketing, Netmax Technologies Pvt. Ltd., 12/2024, 02/2025
• Fundamentals of Digital Marketing, Google, 04/2024, 07/2024
• Cloud Computing, Cloud Counselage, 01/2024, 03/2024
• Machine Learning & Data Science, Geeksforgeeks, 06/2023, 06/2024
• Python Basics for Data Science, IBM, 03/2022, 05/2022

• Apr 2024 - May 2024

Alzheimer Disease Progression Tracking
Analyzed the Open Access Series of Imaging Studies (OASIS) dataset.
Implemented machine learning models for dementia prediction using MRI data.
Achieved accuracies ranging from 77.8% to 90.4% across various models.

• Mar 2024 - Apr 2024

Predicting Thermal Comfort
Loaded and understood the ASHRAE dataset using pandas. Performed EDA using seaborn's pairplot function. Selected relevant features and applied one-hot encoding for model training.
Trained and evaluated machine learning models including Linear Regression, Decision Tree, and Random Forest.

• Jul 2023 - Nov 2023

Stroke Prediction System
Developed and implemented a stroke prediction system using Python, employing machine learning algorithms from scikit-learn.
Conducted data exploration, model training, and fine-tuning to achieve accurate predictions

• Jan 2023 – May 2023

Movie Recommender System

Machine Learning and Flask Development: Built a movie recommendation system using Python, scikit-learn, and the Flask framework, combining machine learning algorithms with web development to provide interactive and personalized movie recommendations
Full-Stack Development: Implemented Flask endpoints to handle user requests, integrated machine learning models into the Flask application, and designed a user-friendly interface for seamless movie browsing and recommendation retrieval.

• Feb 2022 – May 2022

Smart Street Lights

Developed an Arduino-based street light system using IR sensors to detect motion and control lighting, resulting in energy and cost savings

Implemented a timed lighting mechanism based on motion detection, optimizing the operation of street lights in different locations