Data Scientist | Data Analyst | Artificial Intelligence | Machine Learning | Deep Learning |Â Statistical Modeling | Python | R | Tableau
PROJECTS
Click on "Read More" to know more at the end of the description of each project.
TENSORFLOW
APRIL 2018-JUNE 2018
This project is a great example of how I keep my knowledge on TensorFlow updated. I started with the very basics of TensorFlow. I built a a simple neural network of 4 hidden layers for the handwritten character recognition, the famous MNIST Dataset. I have also demonstrated the use of Tensorboard. Then after, I demonstrated the processing of the text data and the wrangling required for sentiment analysis using TensorFlow. I am continuing to add more and more content to this repository on Github
OPEN SOURCE PROJECT: ANALYSIS OF GITHUB PROFILES RELATED TO DEEP LEARNING COMMUNITY.
JAN 2018-MAY 2018
Data integrated and gathered from Github API. Sample data has been collected of the primary members and contributors of primary open source deep learning frameworks: TensorFlow, PyTorch, Caffe2, Theano, Keras. Hypothesis formulation and testing, interaction effects, drawing inferences and recommendations for upcoming deep learning contributors and developers.
Language: Python 3 and R. Libraries: Pandas, Scikit-Learn, Statsmodel. IDE: Jupyter Notebook(Anaconda), R-Studio
Churn Rate Prediction: Statistical Modelling and Economic Interpretation of the Model..Read More
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ENERGY CONSUMPTION PREDICTION
JAN 2018-MAY 2018
This project aims at analyzing the data in hand and use it to forecast the total energy consumption of electric appliances that are installed in a building using various data mining methods like regression and time series analysis. See the code here. This project provides a hands-on experience of using the various data mining methods to analyze a data set for practical applications from the inference obtained after data analysis..Read More
DETAILED ANALYSIS OF CUSTOMER CHURN IN TELCO
DEC 2017-FEB 2018
In this project, we have explored the rate of loss of customers (also known as churn rate) of a telecommunications corporation, TELCO. The data can be acquired from the following link:
This data set provides info to help you predict behavior to retain customers..Read More
WEATHER EXPLORATORY DATA ANALYTICS
NOV 2017
It was a good exploratory data analysis project.
This project is built on numpy and matplotlib.
PROJECT GOALS:
1. Load NOAA Station and temperature data from text files. 2. Integrate, smooth and plot data.
3. Compute Daily Records.
4. Comparing warmest year of a cold location with the coldest year of warmest location..Read More