Over 14 years of experience in deep learning, data analysis, internet of things, predictive modeling, business intelligence and data management across manufacturing and banking domains.Strong experience in building and deployment of machine learning modelsEnabling the executives in data driven decision making Enabling the engineers in data driven product development My current and past roles require me to liaise with various stakeholders - executive management, product management, engineering and testing teams and IT, among others.Also experienced in driving collaborations with startups and academiaAs a full-stack Data Scientist, I am responsible for: - understanding problem statements, - identifying and acquiring data, - building and maintaining data exploration framework- testing hypotheses- delivering descriptive and diagnostic analysis, thereby creating KPIs- developing predictors/recommenders, while working closely with the stakeholders- building and validating predictive and prescriptive models- deploying and monitoring model performanceI have strong experience in delivery management and leading data analytics teamsI am skillful at working with various stakeholders and building long-term relationships I enjoy mentoring and have expertise in competence development of data science teamsAs a data scientist, I excel at extracting insights from data and presenting the same to a variety of audienceI have hands-on experience in multiple programming languages - Python, SAS, Javascript and JavaI have experience working with various machine learning algorithms: * Regression (Linear, Logistic, Ridge, LASSO, Elastic Net) * Classification * SVM * Decision Trees (CART, CHAID) * Random Forest * Neural Networks * Clustering (K-means, hierarchical clustering, GMM, DBSCAN) * Random Forest * Gradient Boosting * Dimensionality reduction (PCA, t-SNE) * Sentiment AnalysisI have experience working with various tools and platforms:* Databricks * Power BI * SAS Enterprise Guide * Jupyter * Visual Studio Code * Azure Delta Lake * Azure MLOps * Knime * GitHub and BitBucket * Confluence * JIRAI also have some experience in Deep Learning: Computer Vision - Transfer Learning using Tensorflow and Keras frameworks