Hello, I'm
Ronak Pandya
Data Science enthusiast
As a self-motivated student with strong technical and interpersonal skills, I grasp every learning opportunity that comes my way. I'm a post graduate student at the Mehta Family School of Data Science and Artificial Inteligence, Indian Institute of Technology,Roorkee
I completed my Btech in the field of Petroleum Engineering (major in Upstream) from Pandit Deendayal Energy University in 2020 A summer internship at ONGC and Essar gave me an opportunity to get a deeper understanding of production engineering.During my internship with Essar, I worked on the optimization of sucker rod pumps. I did my Bachelor's project with the guidance of Shree Shashi Shekar Singh sir on the subject of designing sub hydrostatic workover fluids.
Applied machine learning algorithms and created end to end application to solve the problems related to oil and gas industry, which includes critical oil rate calculation, PVT properties calculation and well flow rate calculation using indirect methods.
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An end to end web application that predict flight ticket price. Data set used in the application is from kaggle flight price prediction. Ensamble methods outperforms all other algorithms. To see the details of the project follow my github page.
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desined a book recommendation system that works on collaborative filtering algorithm, recommends top 50 books initially and also for a selected book it will suggest top 5 most similar books. kaggle book recommendation dataset is used in the project.
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Designed a music generator that generates notes of piano given the starting notes. AI generated music is comparable with humans.visit github page for code and detailed explanation.
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Build an end to end analizer of NIRF ranking 2019,2020 and 2021. A web scrapping is done to gather the data from the official website. Provides brode overview of top 100 technical institutions of India.
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A web application is made that analyse group as well as individual chat with various parameters. A text file from the whatsapp is first download and then upload to the web application that will automatically analyse the data.
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