Hemanth Kotagiri

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.

JNTUH Results Statistics

● This project aims to solve a single core issue - the ability to filter desired results from a gigantic list of links from our University.

● Student has the ability to fetch their specific result also fetch multiple results with Statistics

● Build using NextJS - React - TypeScript - TailwindCSS

Results RESTFul API

● A RestAPI built from scratch using Python and Flask to fetch the results of my University’s students of all years with different endpoints.

● The RestAPI has been deployed over at Heroku PaaS.

SGPA Calculator Application

● Using Flutter and Dart, engineered an Open-source cross-platform application to calculate stream-specific GPA.

● This application serves as the front-end client for the Results RESTFul API.

Brain Tumor Detection

● Using Brain MRI images, a predictive model using Tensorflow and Keras was built using a CNN and provided high accuracy on testing data.

Amazon Reviews Sentiment Analysis

● Using amazon fine-food product reviews, analyzed and performed EDA upon over 500,000 data-points.

● 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%.

COVID - 19 Dashboard

● 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.

● Application is deployed over at Heroku.

COVID - 19 Symptom Assessment

● 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.

Breast Cancer Detection

● 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.

Daily Report Generator

● Developed an Open-source cross-platform Mobile Application to automate daily excel reports using Python and Kivy.

Introduction to Neural Networks

Learn about Neural Networks

Learn to Use Git and GitHub

No Bullshit guide to learn Git

Machine Learning | Why, and How?

Is Machine Learning the field for you and how to get started?

7 Years of Programming | Here's my Story

The beginning of my journey into programming

Overfitting & Underfitting

Learn about overfitting and underfitting

plumina.ai

Applied Machine Learning Engineer, June 2020 - September 2020

(Independent Contributor, Part Time)

● 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.

● Generated Deep Neural Network models for binary classification using Tensorflow, Keras.

● Performed periodic Structured Data Analysis.

ANZ

Data Analyst Virtual Intern, May 2020 – Aug 2020

● Exploratory Data Analysis - Using Python, Matplotlib, Pandas, Numpy, and Seaborn performed EDA on one hundred hypothetical customer transaction data.

● 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.

JP Morgan Chase

Software Engineer Virtual Intern, May 2020 – Jun 2020

● Established Financial Data Feeds - Added a chart to a trader's dashboard allowing them to identify trading opportunities.

● 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.

Open Source Contributor

● Actively contributing to TheNewBoston and improved their website by raising PRs and issues.

● Reviewed over 30+ Pull Requests in various projects targetting algorithmic implementations of different languages such as C, C++, Python, Java, Go, and JavaScript.

Hacktoberfest 2020 & 2021

● Participated in a month-long event organized by Ditial Ocean, appwrite, deepsource, Intel, ThePracticalDev and Hacktoberfest team to celebrate Open Source.

● Raised multiple Pull Requests contributing to more than 4 Open Source repositories targeting Data Structures and Algorithms.

Computer Science & Engineering Undergraduate

Jawaharlal Nehru Technological University, Hyderabad

Senior Year

Languages & Frameworks

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.

Databases

MongoDB, MySQL

Other

Vim, Tmux, Linux, Git, GitHub, Docker(basics), Heroku, CI / CD, REST-API design, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision.