About

Results-driven Data Scientist with a strong background in Statistics, Data Analysis, and Machine Learning. Proficient in Python, SQL, and data visualization tools, with hands-on experience in database management, ETL processes, and cloud computing. Adept at transforming raw data into actionable insights to drive data-driven decision-making. Passionate about leveraging advanced analytics and machine learning to solve complex problems and deliver innovative solutions.

Skills

  • Data Science
    8

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Experience

Calvine Dasilver

Work experience
  • August, 2024 - February, 2025
  • Fulltime
  • Reviewed functional requirements and use cases to determine the relevant data requirements.
  • Created conceptual, logical and physical data models and updated according to the updates in the business
  • requirements.
  • Manage the Metadata for the Subject Area models for the Data Warehouse environment. Highly involved in maintaining
  • the Data Dictionary for all the models across Enterprise.
  • Worked with ETL Team to load sequential files (flat files, text files, CSV files) in data stage.
  • Involved in writing complex queries as part of data analysis and producing fact tables.
  • Managed multiple OLAP and ETL projects for various needs.
  • Responsible for the replication of the tables into the Operational Data Store(ODS)
  • Debugging the SQL-Statements and stored procedures for various business scenarios.
  • Developed advanced SQL queries to extract, manipulate, and/or calculate information to fulfill data and reporting
  • requirements including identifying the tables and columns from which data is extracted.
  • Performed extensive Data Validation , Data Verification against Data Warehouse.
  • Implemented slowly changing dimensions Type2 and Type3 for accessing history of reference data changes.
  • Worked with the database administrators (DBAs) to finalize the physical properties of the tables.
  • Extensively made use of Compressor, Table Spaces, Indexes, Sequences, Materialized Views , Procedures and
  • Packages in Data Models.
  • Tested and validated the BO reports by running similar SQL queries against the source system(s).
  • Responsible for Data Mapping , Data Governance, Transformation and cleansing rules for the Master Data
  • Management Architecture involving OLTP, ODS and OLAP.
  • Testing the source and target databases for conformance to specifications.
  • Environment: Erwin, Oracle 9/10, SQL*Plus, Data Stage
  • KEY ACHIEVEMENT : Successfully integrated and transformed data from multiple sources, including flat
  • files, CSV files, and databases, which streamlined data processing workflows, improved data accessibility,
  • and enhanced reporting accuracy across the organization.

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