Data Science Portfolio

This Portfolio contains diverse projects in Data Science completed both in the academia and in self-learning fashion.

Organisation

1. Machine Learning

• Telco Customer Churn Problem : Data analysis and Machine Learning to solve Telco customer churn. Blog article

• Boston Houses : Linear regression tutorial comparing from scratch numpy/pandas implementation against scikit-learn to predict the best price that a client can sell his house. Blog article

• Higgs Boson Prediction : Predict if a signature results from a Higgs Boson (signal) or some other process (background). All ML models are implementended from scratch using only Numpy.

• tweet Sentiment Classification : Positive/Negative sentiment analysis classification of tweets using traditional machine learning techniques.

2. Deep Learning

• Collaborative Image Inpainting : Use collaborative sampling scheme to improve the quality of the generated inpainted images in deep generative adversarial networks. (GANs)

• Image Classification : Transfer learning using InceptionV3 module for 3-class image classification in tensorflow/keras. Google Colab notebook

• Reinforcement Learning :Lunar Lander : Simple implementation of Reinforce Algorithm to teach an agent to land on the moon using policy gradient. (OpenAI Gym)

3. Systems, Databases and Data-Parallel Programming

• hogwild-spark : Parallel synchronous and asynchronous versions of SGD in Spark on Kubernetes for learning support-vector machines.

• hogwild-multicore : Multicore implementation of the sparse SVM problem

• Robust-Journey Planner : Public transport route planner based on CSA

4. Data Analysis and NLP

• brazilian-e-commerce : Data-driven strategic analysis of Olist, brazilian E-commerce platform.

• Fake News : Fake News : An average Citizen's guide