Passionate Programmer π§βπ» | Mathematics π² | Philosophy π¦| Physics β | AI π€ | Pythoneer π | Bibliophile π | Polymath π| Forever Learner π§π»βπ| Excited Teacher π§βπ«
A freelancer delivering high-quality data-driven solutions for challenging problems such as image classification, regression analysis in the field of Machine Learning and Deep Learning. I love working on web-development and mobile-application development projects as well. In my fair time, I tend to ponder upon the universe, existence, consciousness, science, psychology, philosophy, physics, mathematics, and learn literally anything that crosses my mind. Yes, an aspiring polymath.
β This project aims to solve a single core issue - the ability to filter desired results from a gigantic list of links from our University.
β Student has the ability to fetch their specific result also fetch multiple results with Statistics
β Build using NextJS - React - TypeScript - TailwindCSS
β A RestAPI built from scratch using Python and Flask to fetch the results of my Universityβs students of all years with different endpoints.
β The RestAPI has been deployed over at Heroku PaaS.
β Using Flutter and Dart, engineered an Open-source cross-platform application to calculate stream-specific GPA.
β This application serves as the front-end client for the Results RESTFul API.
β Using Brain MRI images, a predictive model using Tensorflow and Keras was built using a CNN and provided high accuracy on testing data.
β Using amazon fine-food product reviews, analyzed and performed EDA upon over 500,000 data-points.
β Analyzed the Sentiment of each review and generated multiple predictive models such as Logistic Regression, Naive Bayes Classifier, Random Forest Classifier to classify as positive/negative with And overall average accuracy of >80%.
β Using a public API, developed a web application using Python & Streamlit to seamlessly integrate the data into an analytical dashboard and provide daily live insights of the spread of the Novel Coronavirus.
β Application is deployed over at Heroku.
β Generated a classification model using Random Forests upon symptoms data of COVID-19 to potentially predict if a given test sample is positive or negative.
β Generated multiple Machine Learning models such as Logistic Regression, Random Forests, SVC on breast cancer data with an accuracy of over 92% on testing set.
β Developed an Open-source cross-platform Mobile Application to automate daily excel reports using Python and Kivy.
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Applied Machine Learning Engineer, June 2020 - September 2020
(Independent Contributor, Part Time)
β Worked single-handedly as the core developer for creating multiple Machine Learning models under the category of Regression and Classification using Scikit-Learn and Python.
β Generated Deep Neural Network models for binary classification using Tensorflow, Keras.
β Performed periodic Structured Data Analysis.
Data Analyst Virtual Intern, May 2020 β Aug 2020
β Exploratory Data Analysis - Using Python, Matplotlib, Pandas, Numpy, and Seaborn performed EDA on one hundred hypothetical customer transaction data.
β Predictive Analytics - Using Scikit-Learn generated multiple Machine Learning models such as Random Forest regressor, Linear Regressor, and predicted the Annual Income of a potential customer based on different customer attributes.
Software Engineer Virtual Intern, May 2020 β Jun 2020
β Established Financial Data Feeds - Added a chart to a trader's dashboard allowing them to identify trading opportunities.
β Frontend Web Development - Used JPMorgan Chase frameworks such as The Perspective, pipped the stock data into the tool and gave insight in the form of charts running live.
β Actively contributing to TheNewBoston and improved their website by raising PRs and issues.
β Reviewed over 30+ Pull Requests in various projects targetting algorithmic implementations of different languages such as C, C++, Python, Java, Go, and JavaScript.
β Participated in a month-long event organized by Ditial Ocean, appwrite, deepsource, Intel, ThePracticalDev and Hacktoberfest team to celebrate Open Source.
β Raised multiple Pull Requests contributing to more than 4 Open Source repositories targeting Data Structures and Algorithms.
Jawaharlal Nehru Technological University, Hyderabad
Senior Year
Python, C, C++, Java, HTML, CSS, TailwindCSS (basics), ReactJS, JavaScript(ES6+), TypeScript, Golang, Dart, NextJS, Flutter, Flask, Selenium, Scikit-Learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Seaborn.
MongoDB, MySQL
Vim, Tmux, Linux, Git, GitHub, Docker(basics), Heroku, CI / CD, REST-API design, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision.