Welcome TO MY PORTFOLIO!

I enjoy intergrating Machine Learning and Developing Software.

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My Projects

These are projects I have done, divided in data driven projects and general software development projects
Lets go through them.....

Data Driven Projects


1. DroughtWatch
April-December 2023
Python, Flask, streamlit
GitHub
For my undergraduate final year project, I sucessfully implimented droughtwatch; A Deep CNN-Prophet based Drought Early Warning System using Dam Images and Climate Data.

The system implimented the machine learning techniques Image classification and Forecasting to forecast Drought conditions focused on the state of Sao Paulo, Brazil.

Further information on this project can be provided upon request for full documentation
2. Network Analysis
December 2023
Python
GitHub
Focused on a kaggle dataset on network trafic, the project levreged machine learning techniques to forecast network traffic
3. OpenAI chatbot
February 2024
Python, Streamlit, OpenAI API
GitHub
This chatbot intergrates the OpenAI API to make available intelligent GPT based chatbot
4. AirBnB data visualization
February 2024
Tableau
GitHub
Tableau Visualization for the 2016 AirBnB data focused on Washington makes it easier for one to know: What is the average price per bedroom for the Airbnbs, Distinct count of bedroom listings, Price by Zipcode
Revenue per week for the year
5. Sentiment Analysis
March 2024
Python
Github
This project utilizes NLP techniques for sentiment analysis on an Amazon Alexa reviews dataset.
Visualizations like bar plots and word clouds reveal sentiment trends and common themes in reviews; positive
or not. Random Forest and Decision Tree classifiers for sentiment analysis are implemented. These models are
trained on preprocessed data, and evaluated on training and testing sets, and their performance is visualized
with confusion matrices. Cross-validation and Grid Search optimize model parameters, ensuring robust
performance.
User Interface and other software development implimentations.


1. Droughtwatch
April-December 2023
Mobile application, Website
The droughtwatch system was deployed as hybrid mobile app; can be used in both android and ios devices, as well as a website. Developed as a flusk application.
2. In-store shopping website
April- July 2022
JavaScript, PHP, Firebase, HTML, CSS
A system that allows users to shop in stores by scanning product QR codes. Further information on this project can be provided upon request for full documentation.

This was inspired by applications like Scan and Go, Inkonyo and Moltin with an aim of making shopping process different.

Lets Build More....
Finally, among many mentioned and not mentioned projects, I made this, so that we can build more!
Click To access the rest of my projects

Growth is an essential part. we can do it together

Growth

/ɡrəʊθ/

Noun
the process of increasing in amount, value, or importance.

Let's work together!

Leave me a message and i will get back to you as soon as i see it.

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