Shaurya Rawat

Senior Consultant @EY | Past: UKG, Deloitte, Cognizant | Data & ML Engineer | Data Science & Strategy

Role
Senior Consultant 3 - Data & Ai Strategy at EY
Location
New Delhi, DL, IN
LinkedIn followers
500 followers

About Shaurya Rawat

6 yearsAs a data-driven professional, I specialize in Data Engineering, Machine learning and business data analysis. I like to be fast, versatile and excel in multiple technologies and businesses: Finance, Payment, Life Science, Retail : Communication | Presentation :Data Engineering | Machine Learning | Data Strategy | Data Visualization | Data Warehousing | Data management | Data Governance | Data Integration | Data and Application Architecture :Supervised (Linear Regression, Decision Trees), Unsupervised algorithms (KMeans, DBScan), Ensemble methods (Random Forest, XGBoost, GradientBoost, AdaBoost ), Neural Network, Transformers, Hugging Face, Hyper-parameter tuning, Tokenisation, NLP, EDA:Databricks | Azure (ADF, Synapse, SQL Server, Event Hubs, Stream Analytics)| Cloudera (CML, CDE)| AWS (Glue, Athena, S3, DynamoDB)| Cassandra NoSQL | Snowflake | Tableau | Power BI | ExcelLanguage: SQL and Python (Pyspark):1. Microsoft Certified Data Engineer Associate2. Databricks Certified Data Engineer Associate 3. Reltio Certified Solution Architect 4. Tableau Certified Consultant5. Tableau Certified Data Analyst 6. Salesforce Certified Associate 7. Microsoft Certified Azure Fundamentals8. Gen-AI Fundamentals As an artist, I have passion for Designing, Singing, Acting and ModelingBecoming student for life and honing skills to be a leader with knowledge, confidence and empathy.

Experience

  1. Senior Consultant 3 - Data & Ai Strategy

    EY

    Jan 2026 — Present · Gurugram, IN

    Finance, Payments : Senior Data Scientist- Improving Mastercard\'s CNP (Card-Not-Present) approval rates by identifying declines using ML pattern discovery model and explanability- Analyzing various issuers response codes (Card Restricted, Stolen, Lost, etc) to uncover actionable insights in payment authorization failures- Building scalable data pipelines and feature engineering workflows using Spark and Impala on high-Volume transaction data : Cloudera Machine Learning, CDE, Hadoop, Impala, Spark, Databricks, Azure, Tableau: SQL, Python, PySpark

Education

  • Great Lakes Institute of Management

    Post graduate program, Artificial Intelligence and Machine Learning

  • The University of Texas at Austin

    Post Graduate Program, Artificial Intelligence and Machine Learning

  • Deakin University

    Masters in Data Science, Artificial Intelligence and Machine Learning, Data Science

  • DreamZone School of Creative Studies

    diploma (Morning Batch), graphic design

  • Kendriya Vidyalaya

    10th, Science

  • DIT UNIVERSITY

    Bachelor of Technology - BTech, Computer Science and Engineering

  • Kendriya Vidyalaya

    12th, Science

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Shaurya Rawat — Senior Consultant 3 - Data & Ai Strategy at EY in New Delhi, DL, IN | Unifers