Aspiring ML Engineer | Skilled in Python, AI & Deep Learning | Passionate About Data Science | Medium Blogger 💡

Kunal Parkhade  • Peerlist

Dive into the world of airline delays with an engaging Power BI analysis. Uncovered surprising trends, compared airline performance, and visualized the true reasons behind delays. Discover which airports are the biggest culprits and the peak times for delays. These interactive dashboards offer fresh insights, helping the aviation industry tackle delays with data-driven strategies.

Airline Delay Analysis

This project involves designing and implementing a deep learning model to detect cyber threats in network traffic logs using the BETH dataset. The model is trained to identify anomalies that could indicate potential cyber attacks, contributing to enhanced cybersecurity measures.

Cyber Attack Detection

This project showcases the magic of creating GIFs with Python and serving them on a dynamic webpage using Flask.

GIF with Python

A Streamlit-based web application that converts images into stunning pencil sketches, powered by cutting-edge Firebase integration for user authentication and image storage.

Image to Pencil Sketch

This chrome extension shows the live IPL score.

IPL live score chrome extension

𝐸𝑣𝑒𝑟 𝑤𝑜𝑛𝑑𝑒𝑟𝑒𝑑 ℎ𝑜𝑤 𝑚𝑎𝑐ℎ𝑖𝑛𝑒𝑠 𝑟𝑒𝑐𝑜𝑔𝑛𝑖𝑧𝑒 ℎ𝑎𝑛𝑑𝑤𝑟𝑖𝑡𝑡𝑒𝑛 𝑑𝑖𝑔𝑖𝑡𝑠? 
In this project, I delved into the 𝐡𝐞𝐥𝐥𝐨 𝐰𝐨𝐫𝐥𝐝 of machine learning to classify digits using the MNIST dataset. 
How does adjusting the 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧/𝐫𝐞𝐜𝐚𝐥𝐥 𝐭𝐫𝐚𝐝𝐞-𝐨𝐟𝐟 impact our model's performance? 
What insights can the 𝐅𝟏 𝐬𝐜𝐨𝐫𝐞 reveal about our classification accuracy? 
By exploring these questions, I developed a Sturdy model though it needs polishing, utilizing Python and Jupyter Notebook for development and analysis.

MNIST (Handwritten digits) Classification

In this project, I developed a machine learning model to predict housing prices based on various features of houses and their surrounding areas. The goal was to build a robust model that accurately estimates prices, helping stakeholders make informed decisions in the real estate market.

Predict Housing Price using Machine Learning

🚀 Imagine having an AI-powered system that automatically tags your product images for e-commerce, saving you tons of time and effort. That’s exactly what this project is all about.

Product Tagging using CNN

This is an application of NLP with Hugging Face
- 𝐒𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
-𝐓𝐞𝐱𝐭 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠
- 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡