Experience

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  Mphasis

  Sept 2010 - Sept 2015

  Project leader

  • Resolution of escalated issues/concerns, Resource allocation/Staffing, Risk Management, Performance evaluation of resources.• Interfacing with Senior management, operations and vendors to understand, analyze, plan and execute the requirements.• Providing value adds to the customer by focussing on process improvement. Monitor, follow-up and review work in progress, so as to ensure that project is on time, within budget and adheres to prescribed quality norms.• Able to Communicate effectively with the Client and internal stakeholders up to senior levels. Manage and address project escalations as appropriate.• Technically skilled and equipped to drive and support the technology challenges faced during various phases of the project across all projects• Received Rewards and Recognition Award for the month of June 2011 and July 2013. Show less

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  Tietoevry

  Oct 2015 - now

  Data science manager

  • Heading a team of data scientists and machine learning engineers to analyze, develop, implement, and test scalable solutions across domains.• Leading AI-ML CoE, and mentor peers and trainees from various business units and handle multiple projects at the same time. Developed 10+ use cases for customer and working closely with pre-sales and business development teams to create compelling business offerings.• Recruiting, coaching, mentoring and developing a pool of Data Scientists within the organization and ensuring alignment of pool to company-wide vision and strategies.• Understand evolving market needs and support evolution of product roadmap by providing technical and domain expertise.• Proficiency in statistical techniques: Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Clustering, Principal Component Analysis, Dimensionality Reduction, Feature Engineering. • Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders• Serve as a liaison between the Data Science leads for each area and the team in India to ensure the business context, priorities and strategic focus are well communicated, understood and reflected in the projects• Excellent presentation and storytelling skills, including strong oral and written capabilities• Introduce new skills and knowledge into the team adding to the already dynamic environment our Data scientist team has created• Collaborate with Marketing partners and data science leads to drive the roadmap, prioritize, and manage staffing against key initiatives.• Self-motivated, results-oriented individual with the ability to progress on multiple priorities concurrently• Participated and spoke at various external forums such as ML / AI conferences. Show less