In order to help both consumers and businesses alike, we gathered Yelp’s dataset to build an interactive restaurant web application. The home page displays a form which allows the user to input city, minimum review star rating and attributes (wheel chair accessible, outdoor seating, good for kids, touristy, etc). Once the form is submitted, it generates a customizable map to meet the specific needs of foodies, non-foodies and businesses alike. User-input will make consumer and business research quick and easy. Filtering by category, cuisine, vegan, gluten-free and other options will prove very useful for targeting specific consumer needs and niche marketing. Afterall, no single restaurant has a universal appeal. Click on the project title to view the website.

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We all know that weather gets hotter as we approach the equator. But how do you PROVE it? Click on the project title to view the website.

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This is a JavaScript and DOM Manipulation project. Using the UFO dataset provided in the form of an array of JavaScript objects, this code appends a table to the basic HTML web page and then adds new rows of data for each UFO sighting. Using a date form in HTML document, this code listens for events and searches through the data's date and city columns to find rows that match user multiple search input. Click on the project title to view the website.

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The purpose of this project is to build a web application that scrapes various websites for data related to the mission to Mars. It displays information in a single HTML page.

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Used SQLAlchemy ORM queries, Pandas, and Matplotlib to do analysis and data exploration of climate database. Designed a Flask API based on the queries developed.

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Data Analysis on Pyber - A Fictional Ride Sharing Company.

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Worked with a team to extract data from various sources, transform it into a usable state, and load it into a database.

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