I am currently employed as Data Analyst. As Data Analyst, I have used R, Python, Advanced Excel, SQL, Neural Networks, Tableau for manipulating and analyzing data. I have knowledge of complex econometrics, statistical methods and machine learning methods. Being an avid learner, I am passionate about data and machine learning tools. Self-confidence and dedication towards the work is my strength. If given an opportunity, I assure you my cent percent in the project.
Some of the recent projects done by me are:
Classification of images of handwritten digits (Machine Learning Project):
Developed image recognition algorithm which can classify the images of handwritten digits using neural networks on Python. It involved building a deep neural network by using the EMNIST dataset provided by the client.
Text classification (Machine Learning Project):
This project involved the development of SPAM or HAM model for the client that can identify YouTube comments either SPAM or HAM using Python. It consisted of testing three approaches of KNN, Decision Trees, and Naïve Bayes and comparing them on the basis of Precision, Recall and F-Score metrics.