A Data Science professional with an innate passion for numbers, analytics, and problem solving .I am passionate about implementing statistical techniques to solve business problems. The zeal to enhance my skillset in Data Science has motivated me to master building Predictive models, performing insightful Data Visualizations, and implementing Machine Learning algorithms on large and complex data sets. As an aspiring Data Scientist, I am highly skilled in Python, R, SQL, and Tableau. I am also well versed in implementing various Machine Learning techniques like Decision Trees, Bagging, Boosting, Random Forests, SVM, and Clustering algorithms.During my graduation, I have worked on several Data Modeling and Data Visualization projects in the Healthcare and Finance domain where I have sharpened my skills in all the aspects of the Data Science pipeline. The experience of working on such projects has taught me the significance of possessing domain knowledge and appreciating the subtle intricacies of Data Science.My professional career has bundled me with the experience of working extensively with the client on various levels of the project development cycle. Throughout the three years, I served as an Analyst, I have demonstrated the utmost commitment to contributing to the goal of the organization. I am also highly regarded for my leadership, communication, and presentational skills. I come with the experience of working smoothly with a diverse set of clients and my excellent communication skills have helped me collaborate well with the clients as well as my peers.Skills:Programming/Scripting Languages: Python | R | SQL | JAVA | HTML | CSS | Shell scripting• Statistical and Machine Learning techniques: Predictive Modeling | Unsupervised Learning | Hypothesis Testing | Decision Trees | Random Forests | SVM | PCA | Text Analytics | Deep Learning & Neural Networks | Parameter Tuning | Naive Bayes• Databases and Big Data: MySQL | Hadoop | Spark | MS Azure | AWS | Snowflake | PostgreSQL• Areas of expertise: Healthcare Analytics | Supply chain management | Marketing• Software/Tools: Tableau | SPSS | MS Excel | R Studio | SQL Server Management Studio | Jupyter Notebook | DataRobots• ML Libraries/packages: numpy | pandas | pytorch | scikit-learn | nltk | genism | spacy | matplotlib | caret | e1071 | nnet | dplyrDo check out my GitHub link to learn more about my ventures in Analytics & Data Science.Website: https://abhilashhn1993.github.io/Github: https://github.com/abhilashhn1993