Ritika Garg

Data Analyst with 3+ years of experience analyzing marketing, CRM, product, and operations data using SQL, Python, R, Tableau, Looker Studio, and Salesforce. Experienced in building dashboards, cleaning and validating datasets, running A/B and hypothesis tests, and translating business questions into actionable insights. Currently pursuing an M.S. in Business Analytics at UC Davis (expected graduation: May 2026) with hands-on experience in regression modeling, dbt, BigQuery, and KPI reporting.

Data Operations Analyst at The Best Notary (UC Davis – MS Practicum) (2025-01 – Present)

• Built an automated operations analytics workflow to convert 500+ daily Slack status updates into structured task data using Make, OpenAI APIs, and Google Sheets, reducing manual review by 10+ hours per week. Looker Studio-based dashboard has become the primary entry point for leadership to review productivity and operational efficiency across the organization.
• Designed data validation checks for missing fields, undefined task categories, duplicate records, and timestamp errors, improving reporting reliability for leadership dashboards. Improved Slack task classification accuracy from 60% to 85% by analyzing misclassified messages, refining labeling rules, and building a human-in-the-loop feedback process.
• Conducted EDA on notary performance data to identify traits associated with stronger reliability and support consistent hiring decisions.

Data Analyst at Real Time Data Services (RTDS) (2021-01 – 2023-12)

• Reactivated $600K in net new revenue by leveraging advanced SQL (CTEs, Window Functions) to cleanse, validate, and segment 5,000+ dormant Salesforce CRM records; applied data quality checks before targeted campaign execution.
• Built Tableau dashboards combining GA4, Salesforce, and campaign data to monitor traffic, leads, conversions, and revenue trends, reducing weekly manual reporting time by 90%.
• Analyzed A/B test and paid campaign performance to identify higher-converting channels and recommend budget shifts, contributing to an estimated $400K revenue uplift and 40% ROI improvement.
• Partnered with marketing, product, and web teams to analyze funnel drop-offs, competitor positioning, and user behavior, informing website optimization decisions that improved acquisition funnel performance by 8%.
• Awarded "Employee of the Year" for outstanding data excellence, recognizing business impact.

M.S. in Business Analytics – University of California, Davis (2025-01 – 2026-05)

MBA in International Business – FORE School of Management (2019-01 – 2021-12)