Experience
Analytics engineer, based in Dallas. Fuller detail on
LinkedIn.
SQL · dbt · Snowflake · Databricks · Kafka · Spark · Python ·
Airflow · Tableau · Claude Code and agentic tooling
Analytics Engineer · Ticketmaster
Jan 2026 – present
Beverly Hills, CA · remote
Building the company's consumer event data platform end to end: the modeling,
the pipelines, the quality checks, and the layer people actually query.
The numbers behind it
Sole engineer on the platform. Domain-aligned data modeling, partitioned
tables at multiple grains, a 71-check validation suite running on every
refresh, and backfill infrastructure built to survive real failure modes. It is
consumed by data science, abuse-prevention, and product teams.
Data and Insight Analyst · Ticketmaster
Jun 2025 – Jan 2026
Beverly Hills, CA · remote
The analyst behind attendance, revenue, and queue reporting: defining the
metrics, reconciling the money, and making slow reports fast.
The numbers behind it
Led the semantic layer for a unified attendance model: 80+ metrics across 15+
ticketing platforms, aligned across product, analytics, and engineering. Built
finance-grade revenue datasets reconciled to 99%+ accuracy against the
enterprise source of truth. Cut a core attendance report from 4+ hours to under
25 minutes. Built a first-of-its-kind queue-classification dataset for abuse
monitoring.
Data Analyst · Bright Mind Enrichment
Sept 2024 – Jun 2025
New York, NY · nonprofit
Turned unstructured web data into governed, analysis-ready datasets, and
built LLM-based retrieval with human review in the loop.
Machine Learning Analyst · Northeastern University
May 2023 – Apr 2024
Boston, MA
Statistical analysis and classifier prototypes on admissions data, plus
early-warning monitoring dashboards in Tableau.
MS, Data Analytics Engineering · Northeastern University
2022 – 2024
Boston, MA
Data mining, machine learning, and statistics. The applied half of it became
the research role above.
BS, Computer Science Engineering · Shri Shankaracharya Technical Campus
2018 – 2022
India
Four years of core computer science: algorithms, databases, operating systems.
The foundation everything since is built on.