Mahesh Swayamprakash

Operations Associate

San Francisco, California, United States8 yrs 6 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in data analytics with a focus on operational workflows.
  • Successfully mitigated $45M/year in revenue loss.
  • Proven track record in training and onboarding new hires.
Stackforce AI infers this person is a Data Analytics expert in the Tech industry with a focus on operational efficiency.

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Skills

Core Skills

Data AnalyticsOperational WorkflowsTrainingData PipelinesData Visualization

Other Skills

Analytical SkillsBusiness AnalyticsC++Child Safety WorkflowCommunicationDashboardsData AnalysisData ModelingData ScienceData StructuresEmployee TrainingExtract, Transform, Load (ETL)GeminiGoogle DocsGoogle Sheets

About

- Data Analyst with solid experience at Google’s Ads products. - Leveraged SQL, Python, and data visualization to -- Extract & analyze large datasets -- Draw meaningful insights, and -- Recommend product strategies to improve key performance indicators. - Also Introduced automations to operational processes, - Worked with technical & non-technical teams - Built dashboards for reporting - Conducted experimentations & testing, and - Trained & Mentored new team hires. Seeking opportunities in new markets & products to continue my growth in Data Analytics.

Experience

Commure

Operations Manager

Jun 2025Present · 9 mos · Mountain View, California, United States · On-site

  • Improving financial operations for healthcare providers, through data analytics, process optimizations, and developing dashboards & workflows.

Google

2 roles

Data Analyst

Oct 2022Apr 2025 · 2 yrs 6 mos · On-site

  • Used Gemini (Google's LLM) to boost upstream product defense by improving approval checks done during account sign-ups. Accounts with fake US addresses and/or drastic changes in content ("food recipes" to "education loans") were flagged for review.
  • Streamlined multiple operational workflows (customer ticket routing form, user report form) to improve user experience and reduce the “time to completion” for various internal forms and processes.
  • Discovered and mitigated novel abuse patterns involving false social media advertising and payment instrument abuse, worth ~$45M/year of revenue.
  • Trained new team hires, completing their onboarding within 2 months of joining, including delegating training sessions, consistent weekly syncs and knowledge transfer sessions.
GeminiData AnalyticsSQLPythonOperational WorkflowsUser Experience

Data Analyst

Jul 2017Oct 2022 · 5 yrs 3 mos · On-site

  • Launched multiple classifiers - using SQL and Python - to launch data pipelines to flag and enforce websites for policy abuse.
  • Managed Child Safety workflow for Google AdSense - re-trained vendors to reduce false positives, re-wrote enforcement guidelines & policy language to clarify gray areas for publishers.
  • Improved performance of classifiers to flag policy abuse in non-english languages by leveraging vendor's knowledge of local languages, to re-train models with new keywords more relevant to the abusive content.
  • Built dashboards to report enforcement reasons. Consumed by appeal reviewers, as well as Account Managers to help remediate their affected clients.
SQLPythonData PipelinesDashboardsChild Safety WorkflowData Analytics

Education

Visvesvaraya Technological University

Bachelor of Engineering (BE) — Computer Science

Jan 2013Jan 2017

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