COO Chief Operations Officer & Lead Data Scientist
enovAIt Inc.
Total years of experience :16 years, 9 Months
Leading a team of talented developers, engineers, data scientists, for end-to-end delivery of analytics and digital transformation projects.
Contributing as SME when solving complex business problems to apply appropriate data science and analytics tools and concepts.
Led multiple analytics use cases from idea to production for an enterprise telecom firm in US; predictive modeling for opportunities in Salesforce to maximize expected margin; developed dashboards; mentored junior data scientists.
Tools: Python in IBM Cloud, Oracle, SQL Server, Power BI.
Designed multiple mathematical scoring models for a gamified performance improvement project for a large telecom firm in US; captured business requirements, developed logic architecture and code to generate performance driven insights powering the rules engine; prepared client presentations.
Tools: Pyspark and SparkSQL in Palantir
Developed analytics visualization demos, including network graph, and applied the cross-association clustering algorithm to assist the cloud migration and modernization effort for a financial services firm in US.
Tools: Spark, Hive, HBase in AWS
Provided platform support to SAS application users in a crown-corp utility firm; evaluated existing architecture, devised strategies to improve analytics capability; led the design and implementation of SAS application upgrade project.
Implemented end to end data pipelines for a number of clients.
Developed and managed a customized marketing analytics dashboard for a top 5 technology consulting firm in the USA.
Built pipelines to ingest data from Marketo, Salesforce, Adobe Analytics, AWS S3, Google Drive; transformed data in SQL using the Keboola platform; prepared visualizations in GoodData.
Spearheaded a market research study including STP based on psychographic and demographic profiles; performed cluster analysis; proposed KPIs for clickstream, evaluation and testing, outcomes, and VoC analyses based on the CDJ framework; provided CLV based pricing and marketing recommendations.
Championed data and analytics initiatives.
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