Suyash Pandey

About Me

As a passionate enthusiast of Machine Learning and Artificial Intelligence (AI), I am dedicated to leveraging cutting-edge technologies to solve complex problems and drive innovation. With a strong foundation in ML and AI principles, coupled with hands-on experience in developing and deploying algorithms, I am committed to contributing to advancements in this dynamic field.

Education

AMITY UNIVERSITY

(2021-2025)

B.Tech, Computer Science & Engineering

Specialization in Artificial Intelligence and Machine Learning
Current CGPA: 8.73

CITY MONTESSORI SCHOOL

(2006 -2021)

Senior Secondary (XII), Science with Maths and Computer

Year of completion: 2021
Percentage: 97.50%

Secondary (X), Science, Science with Maths and Computer

Year of completion: 2019
Percentage: 90.00%

Technical Skills

Python
Data Science
Data Analytics
Artificial Intelligence
Machine Learning
Deep Learning
Database Management System (DBMS)
SQL
Java

Soft Skills

Leadership
Team Work
Problem solving
Communication
Adaptability
Patient
Time Management

Experience

Data Scientist - Unified Mentor

May 2024 - July 2024

This was two months virtual internship where I had worked as a data science intern and had done three advance deep learning projects.

Machine Learning Intern - Oasis Infobytes

Sep 2023 - Oct 2023

This was a one month virtual internship where I had worked as a machine learning intern and had developed three deep learning models.

Python Development Intern - Octanet

Sep 2023 - Oct 2023

A one month virtual internship where I had worked as python development intern and had built an Atm interface using tkinter library of python. It helped me in gaining knowledge about different python libraries.

Machine Learning Intern - CodSoft

Aug 2023 - Aug 2023

This was a one month virtual internship where I had worked as a machine learning intern and had developed three deep learning models and it helped me in gaining knowledge and i had learnt a lot.

Projects

Generative Adversarial Network

A generative adversarial network for image generation classification and fake versus original image classification.

Weather Sense

A model which takes various inputs such as precipitation, minimum maximum temperature, wind speed and predicts the kind of weather.

Heart Disease Predictor

A model that takes several parameters related to heart of a patient as input and predicts whether that patient has heart disease or not.

Customer Churn Prediction

A machine learning model which classifies whether the customer churned or not.

Spam SMS Detection

It used to detect whether an sms/email is a spam or not. It takes the sms/email as an output and gives yes/no for spam or not spam.

PCOS Detection

It takes several parameters as input and classifies whether a girl/woman has PCOS or not.

Breast Cancer Prediction

It takes several parameters as input and classifies whether a girl/woman has breast cancer or not.

CIFAR-10 Image Classification Model

Takes 60000 images as input and classifies them in 10 classes

Sentiment Analysis

Takes sequences of words as input and tries to detect the sentiment in the sentences whether it positive or negative.

Research work and Additional Information

A research paper on the topic Cryptanalysis along with intention decoding in the encrypted corpus of text using attention transformer mechanism
Led a team of 8 individuals in a group project under the social awareness program (SAP) in which we did the tree plantation work.
I've participated in various certificate and training programs from where I've received certificates also and I've completed the task in time.

Contact

Email: suyashpandey9611@gmail.com

Phone: +91 7905174871

LinkedIn: https://www.linkedin.com/in/suyash-pandey-54454623b/

GitHub: https://github.com/SP4567