Skilled in Machine Learning, Python, SQl, Excel, Tableau and Power BI @Jay.
Automate your daily Dashboard on click of a button!
Created a java script that takes excel attachment from Gmail and automates creation of a data for sales dashboard using google sheets as a database to visualise and interpret data.
An exploration of neighborhood trends, rental diversity, and guest sentiment, empowering informed decisions with advanced SQL techniques.
The primary goal of this project is to contribute to the expansion plans of a liquor store owner in Iowa, by investigating the market data for potential new locations. Furthermore, he is interested in understanding details of the best model that we can fit to the data so that his team can optimally evaluate possible sites for a new storefront.
This project determines which characteristics of a post on Reddit contribute most to the overall interaction as measured by number of comments. Collecting data by scraping a website using the Python packages, Using Natural Language Processing (NLP) techniques to preprocess the data and building a classifier and use it to classify each post based on number of comments.
A Python project to identify factors affecting customer satisfaction in aviation. Developed machine learning model that can predict a customer’s satisfaction level based on data related to customer, trip and service features and identify which features contribute significantly to each group.
In this project, I have built a Recurrent Neural Network model using sklearn, keras and seaborn on time series data to predict the temparature. This model is able to remember previous information and use it to make more accurate predictions. It can also handle missing data and long-term dependencies in the input data.
A Power BI project to analyze and visualize the decision making process of selecting a candidate for a position