Shreyas Kulkarni

Available to hire

Hi, I’m Shreyas Kulkarni, a data analyst who transforms large, complex datasets into actionable insights to improve service delivery and drive data-informed decisions.

About

Hi, I’m Shreyas Kulkarni, a data analyst who transforms large, complex datasets into actionable insights to improve service delivery and drive data-informed decisions. With 3+ years of experience, I specialize in SQL, Python, and Power BI, building automation, forecasting, and stakeholder reports that support growth across finance, operations, and customer experience.

I’m skilled at designing ETL pipelines, interactive dashboards, and predictive models, collaborating with cross-functional teams to contextualize data trends and enable proactive decision-making. I’m always looking for ways to simplify data, improve data reliability, and deliver measurable impact.

  • 6 years' experience
  • Joined January 2026

Languages

  • EnglishFluent

Industry experience

  • Software & Internet
  • Professional Services
  • Financial Services
  • Media & Entertainment

Work experience

Senior Customer Experience Agent · Probe CX (Myer)Sep 2023 – Present · 3 yrs 3 mos

Conducted root-cause analysis for high-complexity customer issues, tracked loyalty discrepancies, and resolved escalations; acted as floor lead and trained new hires; applied data thinking to service cases to identify repeat issues and collaborate with stakeholders on cross-functional decisions.

Data Analyst · Tricon InfotechFeb 2022 – May 2023 · 1 yr 4 mos

Designed scalable Power BI dashboards for finance, operations, and customer insights; automated ingestion and transformation of external datasets using Python and SQL; improved data reliability and delivered near real-time ETL process monitoring dashboards for 35+ daily jobs. Collaborated with cross-functional teams to contextualize data trends and support performance analysis and resource planning.

Software Engineer · Accenture SolutionsJul 2016 – Apr 2018 · 1 yr 10 mos

Engineered predictive models (SVM, RF, MLP) for rotating equipment using field and simulation data; ingested, preprocessed, and validated time-series sensor data with Python and SQL; delivered dashboards and insights to support capacity planning and asset reliability.

Education

Master of Data Analytics · Deakin University2018 – 2021
Bachelor of Computer Application · KU2013 – 2016

Certifications and awards

Advance SQL (Hackerrank)2030 – 2026
IBM Generative AI: Prompt Engineering Basics2030 – 2026
IBM Generative AI for Data Analysts2030 – 2026

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