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Manikya Rao Eppa

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I am a self-motivated Data Science manager with 16+ years of experience in delivering projects from conception to closure phase and providing analytical insights for business entities across geographies. AI Leader and having good logical, analytical and statistical skills along with the domain knowledge in BFSI, E-Commerce, Retail, Healthcare, HCM, SCM, CRM, Media & Entertainment, Telecom, Energy and Hospitality. Experienced at creating data regression and classification models using predictive data modeling, machine learning and analyzing data mining algorithms to solve challenging business problems. Experienced in developing Recommendation Models, Deep Learning techniques, LSTM Networks, Embedding and NLP. I have evolved as a domain agnostic trusted leader and a constant learner, raised the bar on gaining stakeholder trust, negotiated through diverse points of view and delivered consistently in ambiguous organizational environments. Experienced in working with senior leadership teams of large multinational organizations and providing recommendations for better strategy formulation and decision making. Worked across geographies, led end to end project management and client engagement. Highly skilled in developing high performing teams and collaborating cross functionally to implement business initiatives Working knowledge of ML methods - linear/logistic regression, clustering, neural networks, linear programming, stochastic modelling. Key Competencies: o Project management & team building o Resource, budget, team appraisal and cost management o Design and delivery, Implementation Key Achievements: o Cost optimization - Reduced cost of cloud infrastructure by 40%-50% without compromising client deliverable o Team management - Hired and built the data engineering team in multiple locations in India. o Actively engaged with leadership team in getting new business by reviewing proposals, budgets and infrastructure o Optimized delivery of projects within available resources, tight budgets and timelines Technical Skills: o Languages: R, Python, UNIX Shell Scripting o Database: Oracle, MySQL, Microsoft SQL server o Azure: Azure Machine learning studio o BI/ Data Visualization tools: KNIME, Tableau and Splunk o Delivery Methodologies: Waterfall, Agile-Scrum, ML OPs and SAFe 5.0 o Project Management: CRISP DM, JIRA, Confluence, MS Project, Rally, VersionOne and Azure DevOps

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