Srikrishna is a Collaborator, Team Player and Advocate for delivering Business Benefits by implementing Progressive Ideas. He has proven ability to partner with upper management on projects and garner executive sponsorship. He creates strong partnerships with internal and external stakeholders for projects' success. He has demonstrated ability to manage and effectively lead a team while effectively prioritizing and allocating their time and resources. He has excellent leadership and mentoring ability with exceptional written and verbal communication skills.

He has hands on experience building a team from ground-up and in incubating Center of Excellence. He has delivered strategy and roadmap with determined results. Srikrishna has planned, managed and delivered against financial budgets. He is highly organized and detail oriented, with strong multi-tasking skills with domain expertise of Retail, Supplychain, Manufacturing, Projects and Financial integration

He has reliable experience in Agile, Software Development Lifecycle, Product Management, Consulting and Global support. His prior experience includes - Databases design, SQL and ETL scripts development - System Architecture design, Estimation - System integration - ERP Gap analysis, Requirements mapping, technical and functional implementation - Coding and development of Desktop, Enterprise, web and mobile applications with full-stack experience

His Data Analytics experience includes - Proficiency in using Python, R for manipulating data and drawing insights from data sets - Modeling skills for test execution and statistical analysis using tools such as Python, R, SAS, AzureML - experimental test design, hypothesis formulation, defining target selection criteria, and sample size evaluation - Working experience with Big Data implementations, Apache Spark, Hadoop, Cassandra - Datascience Programming and Machine Learning - Data visualization using tools like Python, R, Tableau

His passion and interest are to develop data-driven end to end applications to deliver 'Decision Engineering and Decision Automation' by using Advanced Analytics, Big Data, Machine Learning and AI. The Decision Automation will empower businesses to offload repeat decision tasks and focus on critical revenue generation tasks.