Dopefolio

About Me Data Scientist Experience in developing, ML/DL Models, KPI dashboards that drive business impact, working with cross-functional teams. and optimizing CRM processes to maximize operational efficiency.

Get to know me!

Hey! It's Arvind Kumar, and I'm a passionate Data Scientist based in India. I’ve worked on diverse remote projects, consulted for startups, and collaborated with talented teams to develop data-driven digital products for various industries.

I'm a data enthusiast with a deep interest in the power and possibilities of AI, ML, DL, NLP, CV, and analytics. Over the years, I've experimented with numerous models and tools, diving into diverse data challenges across industries. I'm always excited to connect with like-minded data people—feel free to reach out! contact me here.

Contact

My Skills

Python

C++

SQl

Power BI

Natural Language Processing

GIT

Computer Vision

Pytorch

TensorFlow

Keras

Scikit-Learn

Machine Learning & Deep Learning:

Big Data Technologies(i.e Hadoop , Spark)

Data Analysis & Visualization

DBMS

Projects Welcome to my portfolio of projects! Specializing in data analysis, deep learning, machine learning, and generative AI, My aim to push the boundaries of what's possible with data. Each project showcases my commitment to extracting meaningful insights and building intelligent systems. Join me on this journey as we explore the transformative potential of data!

Machine Translation From Eng to esp(Spanish) using Transformer

The goal of this project was to develop a deep learning model capable of translating English sentences into Spanish with high accuracy. Utilizing Transformer architecture , the project aimed to leverage attention mechanisms for context-rich translation, allowing the model to effectively handle complex linguistic nuances, idiomatic expressions, and long-range dependencies between words.

github Link

Customer Churn Classification with ANN and Streamlit

Ever wondered why some customers stay loyal while others walk away? This project aims to predict customer churn using Artificial Neural Networks (ANN), helping businesses identify customers at risk of leaving. By analyzing essential features like Credit Score, Geography, Age, and more, we build a model that provides valuable insights for strategic decision-making. And the best part? You can interact with it directly through a Streamlit app that brings AI predictions to life in a super-friendly interface!

GitHub Link Streamlit App Link

pytorch-computer-vision-fashion-classificatio

In this project, we leverage the power of deep learning and computer vision to develop a robust fashion classification model using PyTorch. The goal is to classify various types of clothing items, such as shirts, trousers, shoes, and accessories, from a dataset of fashion images.