https://bio.link/amandixit I am passionate about data science and machine learning Data visualization is an art and I am the artist. I have experience and knowledge in banking, healthcare, eCommerce domain/retail, and telecom domain. As a data scientist, I want to work in different domains solving real-life practical problems by using tools and trendy technologies. I have strong knowledge of statistics and the ability to analyze the business and deliver business solutions. I like playing with data and to find intricate details from it. I can make your data tell a story I have expertise in Data Analytics, Statistics, Machine Learning, Tableau, Python, and SQL. I like to work and provide data-driven solutions through the data modeling process & create statistical models by utilizing the raw data and turning them into meaningful insights that an organization needs while making valuable business decisions. I am an avid learner, and a team player, I like challenging problem statements. Have experience working with statistical techniques, EDA, data processing, data cleaning, Missing value and Outlier treatment, ad-hoc analysis, and Data Collection/gathering through API/Web scraping using the beautiful soup library and selenium. I like to code & write queries. Proficient in python programming. I have a working knowledge of Django, Javascript, HTML, and CSS. Good understanding of data cleaning, analysis, EDA/visualization, and modeling. I am currently looking for a Data Scientist/Data engineer role. My Skillset involves: • Salesforce datorama • Qubole data lake platform • Python • Pyspark • SQL • Tableau • Machine Learning Algorithms • Statistics • Exploratory data analysis • Data wrangling • Data warehousing • Feature engineering • Web scraping • Jupyter notebook, Github, Kaggle Have hands-on experience with the below Machine Learning Algorithms: (Regression- Linear/Multiple/Ridge/Lasso/Tree-Based Regression Classification- Naive Bayes/SVM/Random Forest/ Decision Trees/ Gradient Boosting/H20/Bagging/Boosting Clustering- K Means clustering/ hierarchical clustering/agglomerative clustering Currently learning: Time series AWS cloud Education: I have done PGP in Data Science and Engineering (Banglore) Bachelor of engineering