Swastik Nath

5.0

(70 reviews)

US$20.00

For every 15 mins

137

Sessions/Jobs

ABOUT ME

I am a Data Scientist and Engineer.

I love to build web and mobile applications with the power of AI.

Hindi, Bengali, English

New Delhi (+05:30)

Joined February 2020

EXPERTISE

Python

5 years experience | 4 endorsements

Worked with Python for building Machine Learning models and Deep Learning models.

NLP (Natural Language Processing)Flask Django TensorFlow Deep Learning Machine Learning Keras

Computer Vision

4 years experience | 5 endorsements

Works as a Computer Vision Scientist for decoding Human Emotions.

Keras OpenCV

Large Language Models

2 years experience

Python 3 LLaMA Transformers

Python 3 LLaMA Transformers PyTorch GPT-3 GPT-4

JavaScript

3 years experience | 2 endorsements

Worked as a freelance frontend and full stack web developer.

Express.js React Node.js

4 years experience

Developed research oriented programs with multi-processing for high performance computing clusters.

C++

1 year experience | 1 endorsement

Worked as a Unity 3D developer for research oriented applications.

Unity

Node.js

3 years experience | 2 endorsements

REVIEWS FROM CLIENTS

5.0

(70 reviews)

Allen Cui

April 2024

Amazing, help me with what I needed to do and was quite knowledgable

Justin Langfan

April 2023

Helped fix bugs in my code. Gave helpful insight about what was causing the error as well.

Nicolò

March 2023

Great help with Data Science and NLP

Luis Castro

March 2023

Swastik is extremely knowledgeable in all things machine learning. He is extremely patient and will go above and beyond to explain everything clearly. Highly recommend!

Karla Perez

March 2023

Swastik was awesome! He understood my project right away and taught me how to approach it. He was considerate of my budget.

Nora

March 2023

Swastik is amazing, he helped with an R-shiny code and he did perfect job in less than 2 hours. amazing

Luis Castro

March 2023

Swastik quickly understood the issue I was encountering and help me set up my machine learning model rapidly! Highly recommend

Paul

March 2023

Excel vip. Very helpful

Abdul Hannan Ghafoor

November 2022

I have an awesome experience with him. I hired him for a project on a very short notice. And he delivered a quality product despite very strict deadline. He not only was very cooperative and accommodating but also very articulate in his communication. Highly recommended.

Bharti Paatil

September 2021

As everyone has given feedback, it perfectly matches with Swastik. If you are in urgent need and stuck in a complex problem, he is here to help you with 100% surety—a very patient, calm, and highly skilled person. I want to recommend this tutor/expert to everyone highly.

SOCIAL PRESENCE

GitHub

r301

A simple URL shortener, that user Django 3, Bootstrap 4 and Redirect 301.

Python

liebling

Version: 0.6.5

HTML

EMPLOYMENTS

Machine Learning Engineer (Data Scientist)

Kapture

2023-07-01-Present

I build personalized customer experience with the power of Large Language Models.

Python 3

PyTorch

Fastapi

Python 3

PyTorch

Fastapi

Transformers

Triton Inference Server

Senior Software Developer (Data Scientist)

R Systems International

2021-12-01-2023-07-01

I work as a Data Scientist and Computer Vision engineer at R Systems International.

Django

Node.js

OpenCV

Django

Node.js

OpenCV

Python 3

React

TensorFlow

Data Scientist

Intelligent Retail Pvt. Ltd.

2020-08-01-2021-11-01

I work on web application development, data warehousing, analytics and data science.

Django

Node.js

Elasticsearch

Django

Node.js

Elasticsearch

Python 3

React

JavaScript

PROJECTS

Ghost on Heroku 3.0View Project

2017

One-button Heroku deployer for the Ghost 3.0 blogging platform.

Node.js

Heroku

JavaScript

Node.js

Heroku

JavaScript

Movie Recommendation EngineView Project

2019

This project involves a movie recommendation engine on Indian regional movies. It uses Term Frequency and Inverse Document Frequency Vect...

This project involves a movie recommendation engine on Indian regional movies. It uses Term Frequency and Inverse Document Frequency Vectorizer to find similarities between movies. It takes movie name, actors, genre, director, plot into consideration while finding similarity scores based on cosine similarity method.

Flask

Python 3

Flask

Python 3