Hi, I'm Amit Bera
Aspiring Data Scientist
A second-year postgraduate student at Ramakrishna Mission Vivekananda Educational and Research Institute , Howrah.
Contact meAbout Me
My introduction
highly motivated student with a strong foundation in Big Data Analytics and Mathematics. Passionate about Deep Learning, Computer Vision, and Artificial Intelligence, with hands-on experience in both academic and real-world projects. Seeking opportunities to apply analytical and technical skills in a challenging environment.
Skills
My technical levelProgramming Languages
Domain
Tools
Libraries & Frameworks
Qualification
My personal journeyPost-Graduation
Ramakrishna Mission Vivekananda Educational and Research Institute, HowrahGraduation
Vidyasagar College, Kolkata12th Standard
Chaipat High School10th Standard
Kheput High SchoolProjects
Most recent work
Fish Farming Prediction
Predictive Modeling of Water Quality Parameters for Fish Farming, focused on classifying different types of fish based on their environmental conditions. The dataset includes features such as pH, temperature, and turbidity of water, which are used to predict the type of fish present.
GitHub Repository
Startup Funding Analysis
This project contains an analysis of startup funding data. The analysis includes data cleaning, processing, and visualizations to explore various aspects of the startup ecosystem, such as industry verticals, investment types, and city-wise funding distributions.
GitHub Repository
Bayesian River Classification
Developed a system to classify river and non-river areas using a Bayesian decision rule applied to satellite images. The project involved annotating data points, processing images, and implementing a classification model in Python. The results included a classified image and a confusion matrix for model evaluation.
GitHub Repository
Perceptron for two class synthetic data
This project allows for the annotation of 2D points using keyboard inputs and implements the Perceptron Learning Algorithm with different initialization strategies.
GitHub Repository
MNIST k-NN Implementation
In this project, we aim to classify digits ranging from 0 to 9 using the K-Nearest Neighbors (KNN) algorithm implemented from scratch. KNN is a simple yet effective classification method that relies on the similarity of data points.
GitHub Repository