Pramodhsurya Jeyanthi Ravisankaran
Big Data Engineer at Synchronoss Technologies | Big Data | Python | Spark | PySpark | SQL | ETL | Airflow | Kafka |Kubernetes.
- Role
- Data Engineering Lead at Synchronoss Technologies
- Location
- Reston, VA, US
- LinkedIn followers
- 500 followers
About Pramodhsurya Jeyanthi Ravisankaran
With over 9 years of experience building large-scale distributed data systems, I am an…
Experience
Data Engineering Lead
Mar 2021 — Present · Reston, VA, US
Redesigned the architecture and development of ¬data pipeline for processing real-time events (text and images) which:o is 40% faster, scalable, lightweight, and provided more flexibility for expertso replaced third-party service which saved ~$5M annuallyo is being used by top telecom providers in US & Europe (ATT, Verizon, Tracfone, BT etc.) Built data pipeline to implement NLP models:o which brought down analysis efforts from days to minutes and increased accuracy to create actionable insightso which replaced a third-party vendor and saved $1M annuallyo which enabled customer experience and marketing teams to take effective measures to achieve customer satisfaction Developed pipelines and implemented “churn” and “customer retention” models to retain customers and increase user engagement.o Reduced Zero-Usage customers for ATT by ~20%o Reduced Churn percentage for ‘Virgin Mobile of Latin America’ by ~13% Created cross customer metrics and dashboards for management to compare performance, and growth between customers by taking care of security policies. Designed data model from scratch to host and maintain client events which act as source for three different teams within the organization. Enabled multiple AI/ML use cases which boosted revenue and increased customer experience and thereby customer retention and new users.o Impacted existing metrics:• Churn %• Number of new Users each Day/Month/Year• Number of Returning Customers for each Montho New metrics:• Most/Least Commonly used features on the APP• Num. of clicks/visits to various pages• Images - Views/ Favorites/Transformations • Identify success/failure of various AI/ML models built (B&W to color, applying filters, super resolution, document classification, Movie making)• Audio Files - Num. of times listened/favorite etc.
Education
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech
2017 — 2019
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