I am a DATA Science Learner. I use Python to get meaningful insight from raw data. My TECHNICAL STACK are as follows- DATA SCIENCE / MACHINE LEARNING / DEEP LEARNING Python, Data Visualization, Supervised Learning algos, Unsupervised learning algos, Artificial Neural Network, Convolutional Neural Network, Exploratory Data Analysis MATHEMATICS FOR ML & DL Algebra , Statistics, Probability, Calculus, Matrices PYTHON PACKAGES AND FRAMEWORKS Pandas , Numpy, Matplotlib, Scikit-Learn,Tensorflow, Keras. VISUALIZATION TOOLS Power BI, MS Excel, MS Power Point, Canva WEB DEVELOPMENT HTML , CSS , JAVASCRIPT PROPGRAMMING LANGUAGES & SOFTWARE Python , Java , C++, MATLAB, ANSYS,SQL My PROJECTS are as follows - DATA VISUALIZATION : Analysis of Company staff dataset on different parameters such as Monthly Income and Education .Visualization was done with help of Histogram and Heat map SENTIMENT ANALYSIS : Analysis of Amazon Customer Reviews using Natural Language Tool Kit and Transformers. By leveraging Natural Language Processing it helps to classify whether review is positive or negative. CUSTOMER SEGMENTATION : By use of machine learning mall customer data was analysed and clustered using K Means; Elbow method was applied to find optimum number of clusters; Model Training and Testing was done. EXPLORATORY DATA ANALYSIS : Use of Python library such as pandas, matplotlib and seaborn to get useful insight from Hotel Booking dataset. IMAGE RACOGNITION : Deep learning project that utilizes convolutional neural network (CNN) to classify image as either cats or dog