ALGONIX
A lightweight ML library built with Python and NumPy. Implements Linear and Logistic Regression, gradient descent and stochastic gradient descent, plus MSE, MAE, RMSE and R² metrics. Results are compared with scikit-learn.
AI ANALYST @ FRESH GRAVITY · SCIENTIFIC COMPUTING · MACHINE LEARNING
Curious by nature.
Analytical by design.
I turn mathematical ideas and data into practical experiments, algorithms and AI-powered solutions.
DATA IS A LANGUAGE. MATHEMATICS IS ITS GRAMMAR. AI IS ONE WAY TO MAKE IT SPEAK.
I'm Bhushan — an AI Analyst at Fresh Gravity with an MSc in Scientific Computing. I enjoy connecting statistics, programming and machine learning to understand problems and build useful solutions.
My work and personal projects range from implementing algorithms from first principles to exploring NLP, deep learning and generative AI. I like knowing not only what a model predicts, but why it works.
Small collection of projects exploring algorithms, language and computation. Each one taught me something worth keeping.
A lightweight ML library built with Python and NumPy. Implements Linear and Logistic Regression, gradient descent and stochastic gradient descent, plus MSE, MAE, RMSE and R² metrics. Results are compared with scikit-learn.
An academic project that classifies potentially fraudulent SMS messages using text cleaning, tokenization, TF-IDF and Word2Vec. Models include Logistic Regression, Random Forest and SVM, evaluated with accuracy, precision, recall and F1-score.
A numerical computing library for vector and matrix operations, LU decomposition, Gaussian elimination, Newton-Raphson root finding, numerical differentiation and integration.
My current working toolkit — always evolving, always learning.
Python · SQL · R · C · C++
✳scikit-learn · NumPy · Pandas · Statistical Inference · EDA
✳LangChain · PyTorch · TensorFlow · NLP · NLTK
✳FastAPI · Git · GitHub · Docker · Jupyter · Kaggle · Google Colab
✳Savitribai Phule Pune University, Pune
8.36 SGPAGovernment Institute of Science, Nagpur · RTMNU
7.09 CGPA