Vedha Subramaniyam

Data professional with 5+ years of cross-domain experience spanning fintech, product, marketplace, real estate, and healthcare, having delivered solutions for Citi, Microsoft, Zillow, and Zocdoc. Equally comfortable with dashboarding (Tableau, Power BI), large-scale SQL on 1B–3B+ record datasets (Snowflake, Teradata, Hive, PySpark), pipeline automation, and applied data science (forecasting, NLP, classification). Known for translating ambiguous business questions into structured analyses and turning manual reporting into automated, system-driven datasets.

Currently based in Singapore on a Long Term Visit Pass (LTVP) and eligible to work with a Letter of Consent; open to data analyst, BI developer, product analyst, and analytics engineering roles.

Data Lead & Tableau Developer II at Citibank (2024-12 – Present)

• Partner with business stakeholders, management, and senior leadership across three regions to deliver analytics solutions for back office, fraud, KYC, and card management services.
• Designed and maintained 10+ interactive Tableau and Power BI dashboards covering transactional, financial, and risk datasets, achieving 80–85% adoption among end users.
• Transformed and modelled data using Teradata, SQL Server, and Hive to power dashboards and audit-ready reporting for regulated financial functions.
• Performed SQL-based data validation and reconciliation to ensure accuracy and consistency of reporting across multiple source systems.
• Automated reporting pipelines by migrating manual and flat-file processes to system-driven datasets using SQL, Snowflake, and Spark SQL, reducing manual effort by 45–50%.

Senior Analyst – Client: Microsoft at LatentView Analytics (2023-12 – 2024-11)

• Extracted and analyzed large-scale datasets (1B+ records) to generate actionable product and business insights.
• Built and automated the Metrics Funnel (Titan Dashboard), reducing reporting time from ~1 hour to under 1 minute through optimized SQL pipelines.
• Designed scalable SQL-based data solutions to address complex business requirements across product analytics use cases.
• Collaborated with product managers to design data-driven strategies improving user retention and engagement.

Analyst – Client: Zillow at LatentView Analytics (2022-07 – 2023-11)

• Analyzed datasets of ~3B records using advanced SQL to support B2B and B2C business functions.
• Developed 20+ operational Tableau dashboards and 5+ leadership dashboards to track key business and performance metrics.
• Optimized dashboard performance through query tuning, extract strategies, and design improvements, reducing load time from ~5 minutes to ~3 seconds.
• Built and automated SQL-based data pipelines, cutting end-to-end data processing time from 24 hours to 2 hours.

Analyst – Client: Zocdoc at LatentView Analytics (2021-06 – 2022-06)

• Delivered BI reports by extracting and analyzing data from Snowflake using SQL to support leadership decision-making.
• Conducted ad-hoc analyses on large datasets to provide actionable insights across business functions.
• Built forecasting models for booking predictions and key metrics, achieving up to 97% accuracy.
• Performed sentiment and topic analysis using NLP techniques (LDA, N-Grams) to surface customer themes.
• Developed classification models to segment users and improve targeting strategies.

B.Tech in Information Science and Technology – College of Engineering Guindy, Anna University (2017 – 2021)