MS-BA graduate student at Arizona State University. Avid learner of coding and data structures & algorithms. Have a profound inclination toward statistics and mathematics, an eagerness to learn business traits and behaviors, and 4 years of hands-on experience with Python, SQL, and TABLEAU. I have 9 months of professional experience as a data scientist. I am dynamic, self-driven, proactive, and a quick learner with a passion for achieving desired results through data analysis and predictive modeling. I consistently demonstrate a can-do attitude and embrace challenges with enthusiasm and zeal. Currently, I am doing my capstone project under City of Mesa as data analyst. Skill Set: Languages- Python(Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, GeoPandas) Matplotlib), SQL, SAS, R, Java Analysis Tools- Jupyter Notebook, R Studio, ,SAS Studio , Advanced Excel Visualization Tools- Tableau, Power BI, Looker, Google Data Studio, ggplot2, Matplotlib, Seaborn, Bokeh, ArcGIS Databases- DB browser, Oracle 10g, Microsoft SQL Server 2014, PostgreSQL, MySQL, mongoDB, Snowflake Statistical Methods- Regression, Correlation, A/B(Hypotheses) Testing, Chi-Square, ANOVA, Time-series Analysis Machine Learning Concepts & Algorithms- Linear and Logistic Regression, Binary and Multi-class classification, Gradient Descent, Decision Tree, Random Forest, SVM, KNN, XG Boost, Principal Component Analysis, Clustering, Market Basket Analysis, Exploratory data analysis (EDA). Deep Learning concept: Convolutional Neural Networks (CNNs), Long Short Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), Image preprocessing, Multilayer Perceptrons (MLPs), Self Organizing Maps (SOMs), and Deep Belief Networks(DBNs). Natural Language Processing: Text preprocessing, Sentiment analysis, Named entity recognition, Text classification, Topic modeling, Machine translation, Natural language generation, Information retrieval, Text summarization, and Speech recognition.