Suneeth S.

About Suneeth S.

Data Science Professional with background in Data Engineering and Data Product Management. M.S in Data ScienceMachine Learning Analytics Engineer-Data Plumber-Business Technology Leader- with hand-on-experience in Banking/Commercial Insurance/Actuarial Science domains,Retail Marketing Analytics, Quantitative Analysis, Gen AI, RAG, Salesforce Agentforce, aws Bedrock Agentcore, MLOps, Snowflake cortexwork Auth- require (H1B) work visa sponsorship to work in USA; not interested in C2C• Extensive experience is possessed in domains such as commercial insurance, Banking, Risk management,retail customer segmentation, anti-money laundering, and Special Investigation Unit• Proven track record in business data analysis, data profiling, data migration, data integration, and data engineering product development.• Skilled in project tracking, management, and reporting, with proficiency in project tacking tools, and delivering presentations to stakeholders.• Demonstrated strong leadership and collaboration abilities. I have effectively managed cross-functional teams, aligning technical capabilities with business goals. By fostering a culture of data-driven decision-making and have empowered teams to leverage data assets to their full potential. • Designed and optimized data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes. Proficient in a variety of programming languages, databases, and big data technologies, including SQL, Python, Scala, Hadoop, DynamoDB, Redswift, Snowflake, Glue Crawlers(Data Catalog), Kinesis Firehose,Spark, pyspark and ElasticSearch and Kibana and have effectively managed complex data infrastructures and integrated diverse data sources; has also applied strong understanding of data governance and best practices to ensure data quality and compliance.• Through careful consideration of business needs and data relationships and leveraging expertise in dimensional modeling, designed data schemas, and delivered models that provide meaningful insights and facilitate accurate reporting.• Proficient in statistical analysis, data visualization, entity Resolution, machine learning/Generative AI techniques-using Salesforce einstein AI Agentforce, and has generated valuable insights and predictive models that have guided strategic decision-making. Collaborated closely with data scientists, analysts, and business stakeholders to identify key metrics, performed exploratory analysis, and developed data-driven solutions.

Experience

1. Senior Quantitative Analyst

   Popular Bank

   Oct 2024 — Present

Education

• Anna University Chennai

  Bachelor's degree, Electrical and Electronics Engineering

  2002 — 2006

• University of North Carolina at Charlotte

  Statistics for Data Science Overview-Boot camp, Mathematical Statistics and Probability

  2021 — 2021

• Indiana University of Pennsylvania

  Master of Business Administration (M.B.A.), Business Administration and Management, General

  2009 — 2010

• University of North Carolina at Charlotte

  Master of Science - MS, Data science and Business Analytics

Skills

• Sdlc
• Sql
• Data Warehousing
• Requirements Analysis
• Agile Methodologies
• Visual Basic
• Etl
• Soa
• Data Mining
• Data Modeling
• Business Intelligence
• Databases
• Business Process
• Software Documentation
• Data Analysis
• Rup Methodologies
• Wholesale Banking
• Ivr
• Xml Schema
• Olap
• Retail Banking
• Data Mapping
• Business Strategy
• Weka
• Xml
• Requirements Gathering
• Business Analysis
• User Stories
• Activity Diagrams
• Customer Intelligence
• Statistical Modeling
• Association Rules
• Sas Programming
• Systems Analysis
• Uml
• Business Analytics
• Web Services
• Pl/Sql
• Unix
• Grid Computing