Srilathaa Vasu

Senior Data Analyst

Talents

Aix-en-ProvenceMembre depuis 7 août 2026

SQLPythonPandasNumPydbtPostgreSQLMySQLPower BITableauAzureGCP/BigQuerySnowflakeETL PipelinesCI/CDGitGitHubServiceNowJiraLLM EvaluationA/B TestingHypothesis TestingMachine LearningAnalyste de Données

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SQLPythonPandasNumPydbt

À propos

Data driven professional with 4 years of experience transforming complex datasets into actionable business insights using SQL, Python, dbt, Power BI, Tableau, and ETL pipelines to support data-driven decision-making. Delivered a 32% subscriber growth insight and reduced manual reporting time ~40% at TCS through 100+ KPI dashboards used as the reporting backbone for business stakeholders. Hands-on AI and LLM evaluation experience at Turing — assessing model outputs for accuracy, relevance, and consistency, and optimizing prompts to improve response quality.

Applied product analytics techniques including A/B testing, hypothesis testing & KPI tracking to inform stakeholder decisions, presenting findings to senior leadership and non-technical audiences.

Expérience

AI Quality Analyst at Alphabet (via Turing) (2026-03 – Present)

Freelance

Evaluate 100+ LLM-generated responses per cycle against accuracy, relevance, and consistency criteria, running side-by-side comparisons to flag bias, security risk, and sensitive content — surfacing issues in 20-25% of responses reviewed.
Fact-check model outputs against source material to catch hallucinations, misinformation, and inconsistencies, translating findings into structured evaluation reports used to improve model quality.
Track findings and evaluation defects through Jira/ServiceNow workflows, maintaining structured evaluation datasets in Snowflake to support trend analysis across evaluation cycles.
Optimised 70+ prompts based on evaluation findings, turning pattern-level failure analysis into actionable recommendations for the prompt/response quality workflow.

Data Analyst (Volunteer) at Community Dreams Foundation (2025-12 – Present)

Built a dynamic pricing engine for vacation rental properties, ingesting, cleaning, and transforming Airbnb datasets in GCP/BigQuery with dbt to drive data-driven pricing strategy recommendations.
Developed and deployed a full ML pipeline using regression models to predict optimal nightly pricing, presenting insights through interactive Power BI and Tableau dashboards to support decisionmaking.
Conducted exploratory data analysis (EDA) on pricing and occupancy data to surface seasonal and location-based trends informing the pricing strategy.
Designed and analysed A/B tests on pricing strategies, validating a 14% lift in booking conversion rate for the winning variant.

Data Analyst at Tata Consultancy Services (2021-05 – 2024-06)

Owned KPI reporting for business stakeholders, building and maintaining 100+ interactive Power BI and Tableau dashboards that became the reporting backbone and cut manual reporting time by ~40%.
Analysed customer and product usage data to surface growth drivers; insights directly informed leadership decisions and contributed to a 32% increase in subscriber growth — recognised with the TCS Gems Award for best quarterly performance.
Automated recurring data management workflows in Python (Pandas, NumPy) and SQL (PostgreSQL, MySQL), deploying pipelines on Azure with CI/CD, partnering with cross-functional business and engineering teams to reduce manual processing effort.
Directly managed a team of 5 analysts and introduced structured documentation practices for data transformation logic, improving handoff quality and onboarding speed.