GeezerVison is showing github.com β Sanchariii - Overview
AWS AI ML Scholar'22 | Atlassian Participant'22 | B.Tech(CSE) from KIIT,Bhubaneswar'24
Hello π, I'm Sanchari Ray
from Sanchari_Ray import personal_details
# from Sanchari_Personal import personal_ambitions
class WhoAmI:
name = 'Sanchari Ray'
company = 'Rockwell Automation'
education = "B.Tech CSE"
hobbies = [
'Painting',
'Watching Series :)',
'Reading Sci-Fi Novels',
'Making friends ...'
]
# return city name ...
def getCity():
return Kolkata_India()
def currCity():
return Pune_India()
# return public ambitions ...
def Ambitions():
Be_A_Successful_Woman()
Contribute_My_Skills_For_Betterment()
Be_The_Best()
# assume 10 more ambitions here ;)

-
π Iβm currently working as Azure Data Engineer.
-
π± Iβm currently diving more deeper into Azure Data Factory and Databricks.
-
π― Iβm looking to collaborate on ML/AI/Web dev projects
-
π¨βπ» All of my projects are available at My portfolio website
-
π¬ Ask me about Data Science, Machine Learning,Deep Learning, Data Engineering
-
π« How to reach me [email protected]
-
π Know about my experiences resume


Popular repositories
Loading
-
This project forecasts the the time series of a web for next 24hrs in order to avoid any web trafficing. The objectives of web traffic time series forecasting are to help organizations plan for futβ¦
Jupyter Notebook
6
2
-
Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, Breasβ¦
Jupyter Notebook
3
-
CIFAR-10 dataset has 60,000 32x32 rgb images and those images are recognized using ResNet50 deep learning model with an accuracy of 71%.
Jupyter Notebook
2
-
Config files for my GitHub profile.
1
-
Hotstar is a very famous website for movies ,series and shows. I have cloned that website using my web dev knowledge.
HTML
1
-
This project utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
HTML
1
Uh oh!
There was an error while loading. Please reload this page.