Hello, I'm
Let's merge my skills in Machine Learning and Full Stack Development to create tech that makes a difference. Interested? Let’s connect and shape the future together!
Machine Learning Practitioner | Web Developer | UI/UX Designer
+
Projects
~
Users
~
Blogs
Years
About Me
I am a Full Stack Web Developer with expertise in JavaScript, React.js, Node.js, Express, SQL, and Git, creating responsive, scalable web applications. Additionally, I have a strong background in Machine Learning and Data Science, working with Python, TensorFlow, and OpenCV to build predictive models and data-driven solutions. I'm a quick learner, passionate about combining full stack development with machine learning to build innovative, impactful applications.
- Machine Learning
- Deep Learning
- Python, R, JavaScript
- MERN Stack (MongoDB, Express.js, React.js, Node.js)
- Figma
My Projects
React Portfolio Website
Portfolio Project comprises some relative work.
Farmers Connect Projects
Project comprises multiple solutions for problems that arises in one farm cycle.
Alexa Voice Enhancement Design
This Project is about Alexa's Voice Enhancement using Cosine-similarity and other ML models.
Inventory Project
Inventory Project is a UI/UX design on inventory management, sale prediction and stock forecast.
Viz Flix Gpt
Authentication and GPT operations
Tube Flix
Tube Flix is a React.JS project with TMDB API Data and redux store.
Netflix Dashboard
A Tableau dashboard with analysis on all TV series and Movies data.
Amazon Sales Dashboard
A Tableau dashboard about the sales of different category purchases in Amazon.
Jobs and Salaries Dashboard
A Tableau dashboard for Jobs and their respective salaries in a location with multiple parameters.
Apparel Recommendations
A Machine Learning Project on Amazon's Apparel Recommendations based on multiple features, using Tf-Idf, weighted vector and also VCG-CNN.
TV Series Recommendation
A Machine Learning Project on Netflix's dataset to predict the recommendations based on item based and user-based similarities.
LLM Personal Assistant
A personal assistant developed using Langchain, OpenAI Gpt 3.5 Turbo LLm and also Streamlit.
Customer Churn Prediction
This research aims to evaluate the impact of sentiment analysis on predicting customer churn within the e-commerce sector using various predictive modeling techniques. The study particularly assesses which model most accurately predicts customer churn rates.
Blog About K-Means Algorithm
A blog with broad explanation about the K-Means Algorithm in Medium Platform.
Blog About DBSCAN Clustering
A Blog that has an exclusive explanation about the DBSCAN Algorithm in Medium Platform.
Blog about Agglomerative Clustering
A Blog in Medium, which comprises of multiple clustering techniques and their usecases.
Let's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
