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Harshwardhan Natu

@harshwardhannatu

Software Engineer Intern at VIRTUSA

Pune, Maharashtra

VIRTUSADY Patil College of Engineering Akurdi Pune

Harshwardhan Natu is a recent graduate with a Bachelor of Engineering in E&TC and practical experience in full-stack development and machine learning. He has served as a Software Engineer Intern, gaining training in React JS and Spring Boot, and as a Machine Learning Intern, working with BERT models and NLP techniques. He is proficient in Python, Java, and various web technologies, and has successfully developed projects including a stock market screener and a restaurant review classifier.

Experience

Software Engineer Intern

VIRTUSA

•Jan 2023 - Present

Received training on React JS, Spring Boot, Maven, soft skills & full stack Java development. Received training from industry professionals on skills like JAVA, SQL, Aptitude and soft skills. Built a stock market screener to predict the future behaviour of stocks based on past indicators (MA). Built the screener on Jupyter notebook.

Machine Learning Intern

TEKNOGEEKS

•Apr 2022 - Jul 2022

Working with neural networks, BERT models, NLP techniques. Working with TensorFlow and Keras.

Data Science Intern

ZENSAR TECHNOLOGIES

•Oct 2021 - Mar 2022

Employee Skill Development Trainee

THE SPARKS FOUNDATION

•Oct 2021 - Nov 2021

Education

DY Patil College of Engineering Akurdi Pune

Bachelor of Engineering (E&TC)

Jul 2019 - Jul 2023•Grade: CGPA : 9.2

Ryan International School

Higher Secondary Education (CBSE)

Jul 2018 - Jul 2019•Grade: 78 %

Licenses & Certifications

Web Development

Unknown

• No expiration

Machine Learning

Unknown

• No expiration

Deep Learning

Unknown

• No expiration

DSA

Unknown

• No expiration

DBMS

Unknown

• No expiration

C++

Unknown

• No expiration

JAVA

Unknown

• No expiration

Python

Unknown

• No expiration

Skills

Python
Java
C++
HTML
CSS
JavaScript
Flask
React JS
Spring Boot
JQuery
Node JS
AJAX
MySQL
Oracle
MongoDB
Machine Learning
Deep Learning
Data Science
Web Development
CNN
Keras
BERT
NLP
Naive Bayes