Data Science professional with over 7 years of analytics experience across wide range of business domains with expertise in predictive modeling, deep dive analysis, stakeholder management, streamlining and optimizing workflows. Industry Experiences: Healthcare Insurance(3 years 8 Months) Financial Services(2 years 9 Months) SAAS(2 years) Skills: Analytics Techniques: Machine Learning, Statistical Analysis, Predictive Modeling, Linear Regression, Logistic Regression, Bagging and Boosting, Decision Tree, Random Forest, , Hypothesis or A/B Testing, Time-Series Forecasting, Media Mix Model with causal inference, and Data Visualization, Project Management: Agile and Waterfall Methodology, Stakeholder Management, Requirement Gathering, Mentorship Tools: SAS, Python (sci-kit learn, NumPy, pandas), SAS, Databases (Teradata, Oracle, MS-SQL, Snowflake, Hive, Google Cloud Platform (GCP)), Tableau, MS-Excel, GitHub, Live Ramp, Adobe Analytics, Airflow, JIRA GitHub: https://github.com/vibhuti1990 Tableau: https://public.tableau.com/profile/vibhuti.upadhyay#!/