Microsoft Certified Machine Learning Solution Associate with around 7 years of experience in Microsoft Business Intelligence,data science, machine learning, and data analytics. I am passionate about solving a variety of real-world business problems using Data Science, Machine Learning and AI to improve overall customer experience. Programming and tools: Python (NumPy, Pandas, Scikit-learn, Matplotlib), Azure Machine Learning, SQL, MSBI, Adobe Analytics, Advanced Excel, Tableau, Git.• In-depth understanding of statistical analysis, machine learning, and data analytics.• Projects in time series analysis, LTV, recommendation systems, classification, clustering, Natural Language Processing (Text Mining), RNN, LSTM etc• Well versed in classification techniques such as linear regression, ridge, lasso, logistic regression, decision trees, bagging, boosting, random forests, neural networks, KNN, LDA, QDA• Deep knowledge of dimensionality reduction techniques such as PCA and t-SNEI also follow courses on LinkedIn, Udemy, Kaggle Competitions, forums/blogs and meetups to keep myself up-to-date in innovative ways of collecting, cleaning, processing, modeling and visualizing large data sets.