Shruti Singh

Associate Consultant

Bengaluru, Karnataka, India10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable data platforms.
  • Proven track record in AI automation and analytics.
  • Strong background in data governance and infrastructure optimization.
Stackforce AI infers this person is a SaaS Data Engineer with expertise in AI-driven analytics and data governance.

Contact

Skills

Core Skills

Data EngineeringBusiness Intelligence (bi)Ai EngineeringData GovernanceAnalyticsData AnalyticsData ScienceEducation

Other Skills

Data ModelingData VisualizationGoogle BigQueryAutomated ReportingData IntegrationReportingData CleaningStatistical Data AnalysisMySQLDatabase DesignDockerCronJobSecrets ManagementGoogle Drive APIKubernetes

About

Mention "BI Developer" and most people picture someone spending their day building dashboards. At Confluent, we have broken that mold. While most see a data problem and ask for a visualization, we see a data problem and ask how we can automate it out of existence. "The goal isn't just to build a 'Report'; it is to build a system that people actually use , one that ships, scales, and survives the real world." 🌍 Operating at the intersection of Engineering, AI, and Business Strategy. I sit in a full-stack data team where we build whatever the problem demands from petabyte-scale warehouse modeling and agentic LLM routing to executive dashboards that inform million-dollar decisions. My role spans the entire data lifecycle, which means "Business Intelligence" at Confluent actually looks like this: • 🤖 AI Engineering: Architecting agentic RAG systems with Gemini Pro and Vertex AI to automate workflows across support, governance, and data operations • ⚙️ Data Engineering: Orchestrating multi-stage pipelines in Airflow and optimizing enterprise-scale models in BigQuery. • 🛡️ Data Governance: Designing frameworks to analyze hundreds of thousands of assets, driving massive storage cost optimizations. • 📊 Analytics: Turning complex backend telemetry into insights for Finance, Product, Security, Customer 360, Marketing etc. This "build-anything" mindset is fueled by what I call the Fresh Grad Edge: a high bias toward action and a background in cutting-edge research. As a Computer Science graduate from PES University with a specialization in Machine Leaning & Data Science, I bring zero assumptions and a researcher’s rigor to every problem. Before Confluent, I published IoT research at IEEE and engineered an LLM patent analyzer that ranked in the Top 20 out of 178 teams in final year project display. 🏆 The title says BI Developer, but the work is Full-Stack Data. I build systems that scale, get adopted, and solve real problems. 💡

Experience

10 mos
Total Experience
10 mos
Average Tenure
10 mos
Current Experience

Confluent

2 roles

Associate BI Developer

Jul 2025Present · 10 mos · Bengaluru, Karnataka, India

  • Transitioning AI prototypes and analytics projects into production systems used across Product, Finance, Marketing, and Security teams. Building trusted data infrastructure, automated workflows, and cross-functional analytics enabling strategic decision-making at scale.
  • Reduced manual operational overhead through AI/ML automation systems, including Customer 360 bot and streamlined reporting workflows
  • Drove enterprise data infrastructure optimization through governance frameworks, trusted dataset certification, and metric lineage documentation
  • Built product consumption analytics, marketing dashboards, and compliance reporting supporting strategic planning and security initiatives
Data AnalyticsData ModelingData EngineeringBusiness Intelligence (BI)

Business Intelligence Intern

Jan 2025Jun 2025 · 5 mos · Bengaluru, Karnataka, India

  • Built foundational analytics infrastructure for workforce planning and financial operations. Consolidated multi-source enterprise data and implemented automated reporting systems.
  • Delivered headcount and workforce analytics enabling quarterly planning cycles
  • Architected travel & expense reporting consolidating disparate data sources.
  • Reduced manual reporting time by 90% (8 hours → 1 hour per iteration), unlocking 210 hours/quarter value through automated dashboards
Google BigQueryData ModelingData EngineeringBusiness Intelligence (BI)

Pes university

Teaching Assistant

Aug 2024Jan 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Mentored undergraduate students through statistical foundations for data science applications. Designed hands-on lab exercises connecting theory to practical analysis.
  • Guided students through statistical concepts, probability distributions, and hypothesis testing
  • Developed curriculum materials and grading frameworks for applied statistics coursework
  • Conducted lab sessions focused on statistical programming and real-world data analysis
Data CleaningStatistical Data AnalysisData ScienceEducation

Education

PES University

Bachelor of Technology - BTech — Computer Science Engineering

Jan 2021Jan 2025

Government Model Senior Secondary School

Higher Secondary Education

Jan 2018Jan 2020

Manav Mangal Smart School

Secondary Education

Jan 2015Jan 2018

Vidyaniketan Public School

Primary Education

Jan 2006Jan 2014

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