Name: Suyash Lakhani
Type: User
Company: The University of Chicago
Bio: An aspiring data scientist who loves to ponder upon new ways to solve complex business problems using data-driven solutions and tailor data for business use.
Location: Chicago, Illinois
Blog: https://www.kaggle.com/suyashlakhani
Suyash Lakhani's Projects
Predictive analysis of the air quality index with deployment.
Analyzing the inspection of various restaurants in Chicago and creating a classification model to predict the outcome of the inspections.
A predictive model to calculate, on an individual customer basis, the likelihood that a customer will stop doing business with the company.
Extensive EDA on the factors affecting sugar levels in an individual.
Creating a Latent Dirichlet Allocation(LDA) Model for topic modelling to extract disaster related topics from the tweets data.
Extensive analysis of 100M+ tweets (~500gb) and getting useful insights on the education related tweets across the USA.
Predictive Analysis of the flight price with model deployment.
Predicting the loan interest rate of a bank customer using 9 different regression techniques.
Image classification system for accurately identifying and classifying traffic signs.
Predicting and forecasting the stock prices of Apple using LSTM recurrent neural network.
Leveraging time series analysis and forecasting techniques to create robust models that can forecast average daily temperature variations in Chicago.
Extracting appropriate named entities using both NLTK and SpaCy and identifying the most frequently mentioned company in the given news articles and tweets.