aeshna25
Hi, my name is Aeshna, I am a data scientist with 3 years of experience in building data-intensive applications aiming for better customer insights.
Dell Technologies India
Pinned Repositories
Customer-Segmentation-using-KMeans-and-PCA
Marketing is essential for brands to attract customers. One of the dwelling pain points of companies is to segment customers in a way so that marketers can lauch campagines targeting to particular segments
Employees-Attrition-Predictive-Modeling-
Created predictive model using Logistic Regression, Random Forest and Artificial Neural Network that can predict which employees are more likely to quit
Future-Daily-Sales-
Predictive model to forecast future sales using historical data, while taking into account seasonality changes, holidays, promotion for 1000+ stores
Detecting-and-Classifying-Chest-Disease
Develop a model that can detect and classify 4 different chest disease from X-Ray images.
PowerBi_report
Created a dashboard which explains the data workforce landscape through survey results
Algorithm-trading-using-Python
This project covers the methods and ideas to create quantitative strategies in Python using real world company stocks
House-Prediction
Using regression models to predict the sale price of houses
aeshna25
Config files for my GitHub profile.
Aeshna_Portfolio
Data science Portfolio
audio-classifier-convNet
aeshna25's Repositories
aeshna25/aeshna25
Config files for my GitHub profile.
aeshna25/Portfolio_website.github.io
aeshna25/Algorithm-trading-using-Python
This project covers the methods and ideas to create quantitative strategies in Python using real world company stocks
aeshna25/PowerBi_report
Created a dashboard which explains the data workforce landscape through survey results
aeshna25/Digital-Portfolio
Digital resume using streamlit , css and Python
aeshna25/EDA-app
Streamlit app to visualize and apply modeling on data
aeshna25/Buyer-Prediction-using-Deep-learning
Buyer non buyer prediction using deep learning
aeshna25/Customer-acquisition
Customer acquisition using Segmentation techniques
aeshna25/Web-scrapping
Created 2 projects from Amazon and Naukri.com
aeshna25/Aeshna_Portfolio
Data science Portfolio
aeshna25/Portfolio-Theme
aeshna25/LinkedIn-Connnections-Analysis
Analyzing my linkedin connections and finding out the top companies, positions I am connected to.
aeshna25/Predicting-Customer-satisfaction-using-customer-reviews
Predicting whether customers are satisfied with the product based on their reviews and rating.
aeshna25/Detecting-and-Classifying-Chest-Disease
Develop a model that can detect and classify 4 different chest disease from X-Ray images.
aeshna25/Future-Daily-Sales-
Predictive model to forecast future sales using historical data, while taking into account seasonality changes, holidays, promotion for 1000+ stores
aeshna25/Customer-Segmentation-using-KMeans-and-PCA
Marketing is essential for brands to attract customers. One of the dwelling pain points of companies is to segment customers in a way so that marketers can lauch campagines targeting to particular segments
aeshna25/Employees-Attrition-Predictive-Modeling-
Created predictive model using Logistic Regression, Random Forest and Artificial Neural Network that can predict which employees are more likely to quit
aeshna25/Detection-of-Freezing-of-Gait
This project focuses on the detection of freezing of gait symptoms in Parkinson's diseased patients, using Machine learning techniques.
aeshna25/NUS-
These are the projects I completed in my internship time in National University of Singapore with the help of 3 of my colleagues.
aeshna25/Introduction-to-Machine-Learning
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
aeshna25/House-Prediction
Using regression models to predict the sale price of houses
aeshna25/Board-Game-Review-Analysis
Using machine learning modules and methods to analyis reviews
aeshna25/sentiment-analysis
Sentiment analysis of tweets using textbob and tweepy
aeshna25/host-the-page
This is for hosting a local page/file online
aeshna25/Python-Stock
Predicting stock prices from Yahoo stock screener using scikit-learn and sending the predicitons via smtplib to a phone number.
aeshna25/WEBCAM
By this program we can detect motion.
aeshna25/Data-Strucutres-and-Algorithms
aeshna25/git-intro
HACKTOBERFEST TIME
aeshna25/Boderify
aeshna25/hacktoberfest
Hacktober Fest