About

Pranav Murali is an experienced Data Scientist with a diverse background in Analytics. He has worked in various domains, including Software Services, Market Research, Financial Services, and Automotive. Pranav is an advocate for Data Scientists to grasp domain knowledge to know when and where to apply their skills. He believes that they don't need to be domain-specific. Pranav's expertise and interests include Descriptive Statistics, Time-series Modelling, Machine Learning, Business Intelligence, Financial Forecasting, and Presentation and Story-telling. Currently, Pranav is working as a Senior Business Analyst at Ford Motor Company, where his key objectives are Inventory Optimization, Freight Optimization & Cost Reduction, and Order to Delivery Optimization. Previously, he worked as a Data Scientist at Ford, where he gained experience in analysing complex datasets using advanced querying and visualizations. Pranav has also worked as a Data Scientist at GeakMinds, a Global Technology Consulting company serving its customers to enable Digital Transformation in their organization through disruptive technologies. At GeakMinds, he designed, developed, and tested Machine Learning Algorithms to solve business problems. He worked in the Azure platform to develop and test models using SparkR and R languages. Pranav created and presented the results using Dashboards in a concise way to senior management and clients. He used various models such as Time-series models, Regression Models, Random Forest, CART, Linear and Non-Linear SVM. Pranav worked with Microsoft on developing models to automate Dispute Management System for one of the largest Telecom Service Providers in the USA using Data Science. He also worked with Microsoft to prove out the use of AI and Machine Learning as a tool for improving investment performance for a major Asset Management Firm in the UK. Pranav holds a Postgraduate Diploma in Computing from Dublin Institute of Technology and a Bachelor of Engineering in Electrical and Electronics Engineering from Anna University. He also holds a Master of Science in Computer Science from TU Dublin. Pranav's Tech Stack includes Research Scientist, Data Scientist, ML, SQL, Python, test, Azure, SVM, Random Forest, and AI. Pranav has relevant experience of 6.62 years.