Mrinal Rathod

About Mrinal Rathod

I am offering over 17 years of extensive experience across performing roles of Development Leader, Data Scientist, Artificial Intelligence and Machine Learning Practitioner, Process & Data Consultant across different clients & in-house platforms.Established digital strategy & managed technology roadmaps and governance in the areas of Analytics, RPA, AI, Automation and other digital technologies. Created a culture of innovation and continuous process improvement, drove expanded system capability and leading-edge solutions development using the concepts of Data Science & AI, while meeting rigorous cost constraints to maintain competitive edge.Experience at an expert level in Agile software development lifecycle- Scrum. Demonstrated program management skills including project initiation, scoping, resourcing, scheduling, budgeting, risk management and communication.Experience in leading software product delivery projects and teams in a formal SDLC environment following formal project management and governance process. Led successful delivery of Digital Transformation Program, along with enhancing the operational efficiency of the Business Support System and Decision-support System.Conceptualized and implemented an innovative technology strategy supporting business development needs & market growth.

Experience

1. Director

   Optum

   Mar 2020 — Present · Hyderabad, IN

   Supervising entire spectrum of application development (Inventory management and Intake) to ensure they fulfilled build and quality standards• Leading a team of UI Path developers to find and implement possibilities for automation across business processes that would produce annual quantifiable benefits• Rendering assistance to Senior Management in driving the agenda with business units by collaborating with them across the product, customer, and IT divisions• Contributing during team meetings to assess performance and choose code direction• Supervising the creation of analytical models employing statistical, machine learning, and data mining approaches. Define the methods for model development• Providing automated insights by enhancing data mining techniques employing Tableau visualization are crucial for formulating operational strategies• Employing predictive analytics techniques like machine learning and deep learning to particular problems and made suggestions for strategy development• Creating and communicating goals, strategies, tactics, project plans, timetables, and key performance indicators in order to achieve objectives• Recruiting and training new employees while maintaining an approachable and productive work environment and developing potential managers and leaders• Creating strategies to assist customers in enabling analytics and fostering a data-driven culture

Education

• Institute of Bioinformatics and Applied Biotechnology (IBAB)

  Postgraduate Degree, Bioinformatics

• Indian School of Business

  Certificate Course, Business Analytics

  2013 — 2014

• Indian School of Business

  Executive Education, Business Analytics

• St. Xavier's College, Ranchi

  Bachelor's degree Chemistry

• St. Thomas School

  Secondary, Science, Arts, Language

  1988 — 1999

• Indian School of Business

  Organizational Leadership

• Institute of Bioinformatics & Applied Biotechnology

  Master's degree, Biomathematics, Bioinformatics, and Computational Biology

  2005 — 2007

• St. Xavier's College

  Intermediate in Science, Physics, Chemistry, Botany, Zoology, Mathematics, Computer Science

  2000 — 2003

• Indian School of Business

  Executive Education, Business Analytics

  2013 — 2014

Skills

• Business Intelligence
• Linear Regression
• Gcp
• Clinical Trials
• Spotfire
• Good Clinical Practice (Gcp)
• Predictive Modeling
• Data Classification
• Edc
• Principal Component Analysis
• Clinical Data Management
• Ctms
• Sas Enterprise Guide
• Sas E-Miner
• Tableau
• Pharmaceutical Industry
• Business Process Improvement
• Business Analytics
• Clinical Research
• Sql
• Planview
• CRO
• Microsoft Excel
• Data Visualization
• Data Mining
• Validation
• Xlminer
• Cluster Analysis
• Regression Analysis
• Technology Quality Management
• Nodexl
• 21 Cfr Part 11
• Sas
• CRO Management
• Decision Trees
• Data Analysis
• Process Consulting
• Data Collection
• Machine Learning
• Process Improvement