I am a Data Science and Analytics Graduate with years of experience in Data Science and Analytics including Artificial Intelligence/Deep Learning/Machine Learning, Data Mining and Statistical Analysis. I am currently taking care of my daughter and making my vision wider.

-Throughout my experience, I have been involved in all the phases of ML pipeline data extraction, data cleaning, statistical modelling, and data visualization with large structured and unstructured data sets.

-Experienced with machine learning algorithms such as logistic regression, random forest, xgboost, KNN, SVM, neural network, linear regression, lasso regression, and k-means.

-Used Python 2.x/3.x and R to develop many other machine learning algorithms such as Decision Tree, linear/logistic regression, multivariate regression, NLP (Natural Learning Processing), Naive Bayes, Random Forests, Gradient Boosting, XG Boost, K-means, & KNN based on Unsupervised/Supervised Model that helps in decision making using Keras, TensorFlow and Sklearn.

-Strong skills in statistical methodologies such as A/B testing, experiment design, hypothesis testing, and ANOVA tests.

-Expertise in transforming business requirements into analytical models, designing algorithms, building models, and developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data.

-Excellent communication skills. Successfully working in a fast-paced multitasking environment both independently and in a collaborative team, a self-motivated enthusiastic learner.