Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

Priya Debnath

Agartala

Summary

Highly skilled data analytics professional with extensive experience in using Alteryx, Dataiku, Snowflake, Power BI to drive data-driven decision-making. Proven ability to work effectively under pressure, delivering high-quality results within tight deadlines. Adept at transforming complex data into actionable insights, optimizing workflows, and enhancing business performance.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Programmer Analyst

Cognizant
03.2023 - Current

Programmer Analyst Trainee

02.2022 - 08.2022

Education

B.Tech. - Electrical Engineering

Techno International New Town
Kolkata
07-2022

Skills

  • Dataiku
  • Alteryx
  • Snowflake
  • MSBI
  • Python
  • SQL
  • POWER-BI

Certification

  • SQL for Beginners: Learn SQL using MySQL and Database Design
  • Python for Absolute Beginners
  • Learn MSBI, SSIS, SSRS and SSAS Step by Step
  • Snowflake Masterclass [Stored proc+demos+Best practices+Labs]
  • Alteryx Bootcamp
  • Microsoft Excel - Excel from Beginner to Advanced
  • Dataiku Developer Certificate
  • PL_300

Projects

  • Current Project, I am currently engaged in a project focused on Rebranding of a project and enhancing data governance practices within Dataiku while facilitating the migration of our analytical framework from the Glass box platform to the F1 Al platform.
  • Alteryx to Dataiku Migration: Worked on successful migration project transitioning data workflows from Alteryx to Dataiku, aimed at enhancing data processing efficiency and scalability., Migrating workflows from Alteryx to Dataiku involves several stages and responsibilities across development, quality control (QC), virtualization, and reconciliation (Recon). Successfully migrated over 30 workflows.
  • Rebuild workflows in Dataiku using its native tools and features such as visual recipes, SQL notebooks, or Python code where required.
  • Perform unit testing at every stage of the workflow migration to ensure each step works correctly.
  • Validate the outputs at each step against the original Alteryx outputs to ensure consistency.Conduct end-to-end validation of entire workflows, ensuring that inputs, transformations, and outputs match expected. Utilize Dataiku’s data virtualization capabilities to reduce the need for data replication and improve efficiency.Compare the data outputs of the Alteryx and Dataiku workflows to ensure they are identical or within acceptable limits.

Timeline

Programmer Analyst

Cognizant
03.2023 - Current

Programmer Analyst Trainee

02.2022 - 08.2022

B.Tech. - Electrical Engineering

Techno International New Town
Priya Debnath