🏗️🎨📊 Welcome to my Creative Universe! 🚀

Who Am I?

Hey there! I'm Sanat, a multi-dimensional creator weaving magic in data, pixels, code, and concrete. With a background in architecture and a passion for design, I've embarked on a journey where every line drawn and every line of code penned tells a story of innovation and imagination.

Crafting Experiences

In my creative laboratory, I blend the precision of code with the artistry of design to craft experiences that captivate and inspire. Whether it's designing intuitive user interfaces, analyzing data to uncover insights, or sculpting architectural marvels that defy convention, I'm here to turn visions into reality.

Data-Driven Dreams

But wait, there's more! In a world buzzing with data, I've embarked on a quest to unravel its mysteries. Python, SQL, and Power BI have become my trusty companions as I navigate through the vast sea of data, seeking insights that spark innovation and drive informed decisions.

Skills & Superpowers 💻✨

Programming Languages: Python, Dart
Data Science & ML: TensorFlow, OpenCV, YOLO, PyTorch, Pandas, Numpy
Web Development: Streamlit, Flask
Data Visualization: PowerBI
Design Tools: Figma, Adobe Photoshop, Adobe Premiere Pro
Architectural Design: AutoCAD, Rhino, Grasshopper, Lumion

Join the Adventure

Are you ready to embark on a journey through pixels, blueprints, and data streams? Connect with me, and together, let's shape experiences that leave a lasting impression on hearts and minds.

🌐 Medium

💼 LinkedIn

📊 Kaggle

Remember, in this universe of creativity, the only limit is our imagination. Let's push boundaries and redefine what's possible! 🌟

Sanat Ladkat's Projects

boston-housing-price-prediction

Implementing linear regression on Boston Housing dataset using scikit-learn

employee-attrition-prediction

This project involves Employee Attrition Prediction using various data visualisation techniques & machine learning models. The repository consists of the .ipynb file and files used for deploying the ML model on 'Heroku' using the Flask framework.

file-organizer

This Python script provides a graphical interface to organize files in your Desktop, Downloads, and any custom folder. It categorizes files by type into separate folders, helping you maintain a clean and organized digital workspace.

floor-plan-object-detection

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as columns, walls, doors, windows, etc. Given an input image of a floor plan, the system will accurately identify and label these elements.

makeup-product-recommender

This project utilizes a pre-trained MobileNetV2 model to predict the skin tone. The model has been fine-tuned on a custom dataset to classify skin tones into four categories: dark, light, mid_dark, and mid_light. After detecting the skin tone, the app recommends suitable lipstick shades, compact shades, blush shades, and eyeliner shades.

rhinogh

A repository of Grasshopper Scripts to create parametric structures.

salary-breakdown

In this project, a Web API for Employee salary structure breakdown is made. Salary structure is the details of the salary being offered, in terms of the breakup of the different components constituting the compensation. Knowledge of what makes up the salary earned is crucial.

sanatladkat

Decorating Profile

superstore-dashboard

This repository contains a PowerBI dashboard analyzing sales data. The dataset provides insights into various aspects such as sales performance, profitability, customer segments, and regional trends. The dashboard was created to facilitate a clear understanding of key metrics and to guide decision-making processes.

us-admission-prediction

The aim of this project is to help students in shortlisting universities with their profiles. The predicted output gives them a fair idea about their admission chances in a particular university.

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