Divyan Niranjan
Manager - Data Analytics at Ford Motor Company
Based in Chennai, India
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Seniority
Manager
Department
Information Technology
Location
Chennai
Industry
Motor Vehicle Manufacturing
Company size
153K
Contact information
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d•••••••@ford.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Divyan Niranjan
Self-driven, data obsessed, detail oriented professional with 14+ years excellence in Big Data Warehousing, Data Analytics & Machine Learning in Automotive MNCs, with 6-sigma mindset Experience Summary: • Own & Deliver end to end data analytics solution to business problems (Business requirements, Data preparation, EDA, modeling, Prediction and story telling). • Lead & manage team of data scientists and help them take ownership for best in class analytics solutions, by having right considerations & questions at each step. • Manage and Ensure integration of cross functional teams like Business owner, Data engineers, Data Science and Architects. • Decide feasibility of implementing ML algorithms and translate business domain problem to suitable ML approach. • Motivate team to apply statistics concepts & framework in ML process esp. in data mining & wrangling. • Guide feature engineering & Bias Variance trade off process to suit ML model to the business requirements. • Guide error metrics assessment & make sure the trained model is efficiently tested and tuned for production deployments. • Leverage and deliver dashboards and reports (Business Intelligence tools like Tableau) for leadership communication. • Have excellent experience in RDBMS (On Prem & Cloud). Handled large and complex data sets and ETL/ingestion. • Follow & encourage agile methodologies (Epics, Features, Releases, user stories & story boards/kanban) in day to day business. • Drive for best in class solution through right project scoping, timing, prioritization, budgets & resources. • Develop & groom the team member through empowerment, trainings, flexibility and mentoring. • Build diverse team and guide them to balance career growth and personal goals. • Resource management and budgeting. Monitor cost consumption.
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