Name: Anurag Chatterjee: Welcome To My Technical Projects Portfolio In Industry & Academia!
Type: User
Company: National University Of Singapore (NUS) Alumni: B.Eng (Electrical Engineering), Class Of 2019/23
Bio: Electrical Engineer: New Product Development At Schlumberger | IoT Specialist | Design Thinker | Self-Taught In Hardware, AI, Data Science & Machine Learning
Twitter: anu_chat_1
Location: Singapore
Blog: https://linktr.ee/Anurag_Chatterjee
Anurag Chatterjee: Welcome To My Technical Projects Portfolio In Industry & Academia!'s Projects
Config files for my GitHub profile.
Pursued a Data Science Virtual Experience Program by British Airways, where I used Python, Web Scraping, Machine Learning Models & NLP for sentiment analysis.
Transcribe audio files to text using Speech Recognition and Python libraries.
In this project, I have used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer or not in general
In this project, I've used decision trees to try to predict the continent of flags based on several of features such as colours and shapes
The U.S. Postal Service has been using machine learning and scanning technologies since 1999. Because its postal offices have to look at roughly half a billion pieces of mail every day, they have done extensive research and developed very efficient algorithms for reading and understanding addresses. And not only the post office, ATMs can recognize handwritten bank checks. Evernote can recognize handwritten task lists and Expensify can recognize handwritten receipts. In this project, I used K-means clustering (the algorithm behind this magic) and scikit-learn to cluster images of handwritten digits
Codeacademy Machine Learning Project In Python: Honey production analysis and prediction till 2050 using Linear Regression
In this project, I used perceptrons to model the fundamental building blocks of computers i.e logic gates which are pivotal components in electrical circuit/eletronics design which is my field of study!
In this project, I used the dataset containing census information based in year 1994 from UCI’s Machine Learning Repository. By using this census data with a random forest, we will try to predict whether or not a person makes more than $50,000 a year as income.
In this project, I created a Logistic Regression machine learning model that predicts which passengers survived the sinking of the Titanic, based on features like age and class.
A basic project where I have tried to add, remove and update a sample table I found online in Codeacademy in SQL
Hacker News is a popular website run by Y Combinator. It’s widely known by people in the tech industry as a community site for sharing news, showing off projects, asking questions, among other things. In this project, you will be working with a table named hacker_news that contains stories from Hacker News since its launch in 2007. It has the following columns: title: the title of the story user: the user who submitted the story score: the score of the story timestamp: the time of the story url: the link of the story This data was kindly made publicly available under the MIT license.
As part of a CodeAcademy project, there is a table of restaurants called nomnom attached and used SQL commands to find the best dinner spots in the city.
A mini small scale project involving numpy
Imagine that you are a physics teacher preparing for the upcoming semester. You want to provide your students with some functions that will help them calculate some fundamental physical properties using python
Mini project where I, as a data analyst, was tasked to analyze the inventory of a fictitious gardening stores company called Petal Power Factory.
After completing a Computer Vision course on Kaggle and having after earned a Certificate In Computer Vision, I thought of practicing some OpenCV concepts from the documentations.
Worked with an actual COVID19 dataset, published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each country.
Did up coding exercises on Data Visualization on Kaggle using Seaborn and Matplotlib on random datasets that I found on Kaggle's database.
Data Science project in Python to analyze & mine reviews people have submitted on Airbnb rentals in 2017 to provide analytics & visualization in Matplotlib on customer bookings in Singapore in 2017.
A computer networks module that I took as an undergraduate at the National University Of Singapore (NUS). Did my lab assignment on fixed and varying batch size messaging transfer protocols in UDP using Ubuntu (A Linux Distribution System), C and Socket Programming.
Our final year Innovation & Design project at the National University Of Singapore (NUS). Our project is on Smart Laundry Factory Automation using IoT and this is our first failed start-up idea.
Tried to make an Electricity Price Predictor Model using Machine Learning for fun.
Worked in an engineering startup in Singapore as an Electronics Design Engineer. Used PCB Design (EAGLE CAD), MATLAB Programming, Arduino & Circuit Simulation (LTSpice) for sensors development.
Fake News Detection Using Machine Learning In Python.
FastAPI framework, high performance, easy to learn, fast to code, ready for production. Link to my Project here: https://github.com/AnuragSChatterjee/FAST-API-Based-Heatmap-Dashboard-For-Live-Camera-Data-Analysis-For-Activity-Classification
Made an introductory concept map using Figma during my internship in Thales, a French MNC (Singapore Office) where I presented a dashboard to a UI designer for a customer.
Did some of the basic C++ questions on HackerRank under the Prepare section.
Did all SQL (MySQL) easy questions under SQL (Basic) Category and in the Prepare section in HackerRank.