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About me

I am a graduate student pursuing Masters in Industrial & Systems Engineering from Rutgers University while also acting as a Research Assistant at The Renewables and Industrial Analytics (RIA) Research Group. In addition, I am currently looking for summer internships in the Data Science and Supply Chain domain, starting Summer 2022. Leveraging my industrial experience ~ 4 years, I would like to explore the application potential of big data to gain predictive insights to improve business operations and processes by leveraging AI / ML capabilities. I believe my industrial background and analytics skills, coupled with my experience in business management, will add tremendous value and insight to any analytics team. I carry the skillset along with my professional industry knowledge and will be able to learn anything and everything that might be necessary to solve a problem. My skill-sets include: • Programming\Languages: (Advanced)SQL, (Advanced) Python [NumPy | Pandas | matpoltlib | sci-kit], R [dplyr | ggplot] • Databases: Microsoft SQL Server, SQLite, MongoDB, MySQL, AWS Redshift • Machine Learning Algorithms: Decision Tree, Regression, Classification, SVM, Clustering, PCA, Neural Network, Ensemble B&B, Kernel Methods & SVMs, Markov Decision Process, Bayesian Learning • Statistical Techniques: Regression Analysis, Time Series Forecasting, Monte Carlo Simulation, Hypothesis Testing, A/B Testing with SQL, GAP Analysis • Supply Chain: Supply Chain Planning, Demand Planning and Forecasting, Inventory Control, Process Flow Optimization, Logistics Management, Purchasing, Supplier Development, Material Requirements Planning, PLM, Project Management, Warehouse Management, Sales and Operations Planning (SNOP) • Tools: Advanced Excel, Tableau, QlikView, Microsoft Power BI, KNIME My core competencies include: • Decision Making • Data Analysis • Machine Learning • Data Visualization If you would like to learn more about my interests and what I do, hit me up at vaibhav.panchal@rutgers.edu. Example topics of conversation - Technology, ML and AI.