Hey, My name is Pranav Dwivedi

As an aspiring AI and ML enthusiast, I bring expertise in machine learning frameworks like PyTorch and Keras, along with strong quantitative analysis and data visualization skills to contribute to innovative projects. I am proficient in designing and analyzing software architectures, with a focus on delivering efficient and scalable solutions.

Projects

About Me With a solid foundation in machine learning and AI, I am equipped to tackle complex data-driven challenges. I have delved into the intricacies of PyTorch, Keras, and genetic algorithms, enabling me to build sophisticated models and extract meaningful insights from vast datasets. My expertise in quantitative analysis empowers me to identify patterns and trends, leading to informed decision-making. I am constantly exploring the frontiers of AI and ML, seeking innovative solutions to real-world problems.

Get to know me!

Hey! It's Pranav Dwivedi and I'm an aspiring professional with expertise in Artificial Intelligence, Machine Learning, cloud computing, and software architecture . I am skilled in using various tools and technologies to solve complex problems, including machine learning libraries like PyTorch and Keras, and cloud computing platforms. With a strong foundation in quantitative analysis and data science, I am adept at extracting insights from data and leveraging them to build efficient and effective solutions. I am passionate about contributing to projects that leverage the power of AI and ML to improve people's lives and drive technological advancements.

I'm a bit of a digital product junky. Over the years, I've used hundreds of web and mobile apps in different industries and verticals. Feel free to contact me here.

Contact

My Skills

HTML

CSS

JavaScript

Agile

SQL

Keras

PyTorch

Python

Java

DBMS

.NET

Projects Throughout my career I have worked on various Machine Learning projects, here are a few of them.

Diabetes Prediction using Machine Learning

This project employs machine learning techniques, particularly the K-Nearest Neighbors classifier, to predict diabetes based on patient features, achieving a promising accuracy of 88.89% on test data.

Case Study

Red Wine Quality Prediction Model🍷

This project builds a Random Forest Classifier model to predict the quality of red wine based on its chemical composition, achieving an accuracy of 72.5% on the test set.

Case Study

Stock Price Prediction 📈📊

This project is dedicated to exploring different machine learning models for stock price prediction. Our goal is to determine which model is the most accurate and efficient in forecasting stock market prices. We'll be using historical stock data and various machine learning techniques to build and evaluate models.

Case Study

Hey, My name is Pranav Dwivedi

Get to know me!

My Skills

Projects Throughout my career I have worked on various Machine Learning projects, here are a few of them.

Diabetes Prediction using Machine Learning

Red Wine Quality Prediction Model🍷

Stock Price Prediction 📈📊

Contact Let's connect and explore how AI can transform your ideas into reality.