About Me

I do Data

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About Me

I am Nuthan Kalyan, I started my coding journey in oct 2021. since then I started exploring Data Science and learned new tools. I made up my mind that i will be persuing my career in data science and came a long way till now.

Skills

Python

Java

MySQL

PowerBi

Tableau

Data Analysis

Machine Learning

Azure SQL Servers

Azure SQL DataBases

Web Scraping

Advanced MS Excel

Azure Data Studio

HTML

CSS

JavaScript

Node JS

Git

GitHub

Projects

Streamline Student Data Management

Project 1 Image
GitHub Repo
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Streamlining Student Data Management

  • Built Frontend HTML page to read inputs from user
  • Developed Flask application and extracted user inputs to flask application
  • Created Azure SQL Server and DataBase in Azure Cloud and connected to Flask application using pypyodbc library
  • Designed ER model for table creation in DataBase
  • Performed CRUD operations on Azure SQL Server
  • Analysed inputs from user by building small dashboard in PowerBi web using Semantic Model
  • Do Watch the demo video:

Flipkart Mobiles Sales Analysis

Project 2 Image
GitHub Repo
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Web Scraping of Flipkart mobiles

  • Extracted individual data on FlipKart using web scraping framework BeautifulSoup
  • Converted into a DataFrame in Pandas
  • Cleaned and Transformed the Data
  • Built a dashboard using Google Looker Studio which describes sales analysis of various brands

Walmart Sales Analysis and Forecasting

Project 2 Image
GitHub Repo
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Walmart Sales Analysis and Forecasting

  • Gathered Walmart data from different sources and imported into Jupyter Notebook
  • Found outliers hidden in the data and cleaned the data
  • Merged different data table into one table
  • Performed Exploratory Data Analysis on the data
  • Prepared the data for Machine Learning Model training
  • Normalized the Data using MinMaxScaler
  • Trained the model using various Machine Learning Models
  • Analysed all the model accuracy

Car Price Prediction

Project 2 Image
GitHub Repo
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Car Price Prediction using Machine Learning

  • Gathered data from source
  • Imported it into Jupyter
  • Cleaned and transformed the data
  • Splitting the data into train and test data
  • Trained the model using Regression
  • Analysed the model accuracy
  • Dumped the model into a single file

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