Naman Mistry

I'm

About

As a fervent enthusiast of machine learning, I am driven by a passion for coding and a strong desire to apply my skills towards solving complex real-world problems. My ultimate goal is to leverage the power of data to create innovative solutions that address industry challenges and improve people's lives. Through my comprehensive understanding of machine learning algorithms and deep interest in exploring cutting-edge technologies, I am committed to developing robust models that drive meaningful outcomes

Birthday: 22 September 2001
Phone: +1 480-434-8018

City: Tempe, Arizona
Email: nmistry6@asu.edu

Interests

Deep Learning

Machine Learning

Computer Vision

Natural Language Processing

Software Development

Visualization

Algorithms

Image Processing

Education

M.S in Data Science, Analytics, and Engineering

August 2023 - May 2025

GPA: 3.8/4.0

Relevant Coursework

Data Mining
Data Processing at Scale
Info Assurance and Security
Statistical Machine Learning
Convex Optimization
Theory of Stats II: Inference

B.E. in Computer Engineering

July 2019 - May 2023

CGPA: 9.0/10

Relevant Coursework

Database Management Systems
Algorithms & Artificial Intelligence
Machine Learning
Python for Data Science
Probability and Statistics
Cloud Computing
Calculus
Discrete Mathematics

Research

Cardiovascular Disease Prediction Using Genetic Algorithm

June 2022 - Jan 2023

International Journal of All Research Education and Scientific Methods (IJARESM)

Conducted research on cardiovascular diseases, which are a major cause of morbidity and mortality in modern society.
Identified the need for a powerful tool for the accurate prediction of heart disease at a lower cost.
Proposed a system based on common risk factors such as age, family history, diabetes, hypertension, high cholesterol, tobacco smoking, alcohol intake, obesity, and physical inactivity for the early detection of heart disease.
Applied artificial neural network (ANN) and binary classification to the dataset of risk factors for prediction and training of the network.
Developed a model that could potentially help medical professionals diagnose heart disease more accurately and give patients a warning about the probable presence of heart disease before visiting a hospital.

Experience

BrainyBeam Technologies

Jan 2023 - May 2023

Python with Django Intern

Created a taxi booking system with django and sqlite which allows users to book taxi. Worked in the backend of the website.
Responsible for developing entire backend, database schema and connecting backend with the database.

BrainyBeam Technologies

Jun 2022 - July 2022

Machine Learning Intern

Created a pre-processing pipeline. Learned about Python and libraries like pandas, NumPy, sci-kit-learn, and matplotlib.
Worked on a recommendation system that recommends movies to users.