Repeatable implementation workflow
Built a repeatable implementation workflow — requirement verification, prompt versioning, issue logging, retest, regression check, sign-off — that both business units and the vendor now work off.
ANIRUDH K
MBA candidate specializing in Artificial Intelligence & Data Science — translating operational challenges into structured workflows, performance metrics, and actionable business insights.
CURRENTLY Program Management Intern — Growth & Program Strategy, IQOL Technologies Pvt. Ltd.
SCROLL TO RUN THE SYSTEM
OPERATING PRINCIPLE
MBA candidate specializing in Artificial Intelligence & Data Science with experience in business operations, stakeholder coordination, process analysis, and data-driven decision-making. Skilled in translating operational challenges into structured workflows, performance metrics, and actionable business insights through Excel, Power BI, and analytical problem-solving — seeking a high-growth environment at the intersection of operations, technology, and program execution.
Chaos in. Systems out.
MEASURED OUTPUT
0
AI voice calls made and operated end to end
IQOL — AI VOICE OPS, 2026
0
Overall pickup rate across calling operations
IQOL — AI VOICE OPS, 2026
0
Industry certifications earned
MICROSOFT · RICE · META · IBM +
0
CGPA — MBA, AI & Data Science · ₹1.5L scholarship
RV UNIVERSITY, 2024–26
NOW RUNNING
IQOL TECHNOLOGIES PVT. LTD.
Program Management Intern | Growth & Program Strategy
Jun 2026 – Present · Bengaluru
AI VOICE & CLIENT IMPLEMENTATIONS
A PropTech holding company building the structural layer beneath India's real-estate market — data intelligence, agent networks, home advisory and legal documentation.
VISIT IQOL.IN
All-in-one AI growth engine for real estate: AutoCampaign ad automation, AutoWeb websites and 24/7 AI Voice Calling — the system behind the Vault and AllDoors call operations.
VISIT MASAL.AIOpen-source voice agent platform used hands-on for prompt engineering, agent versioning and deployment testing.
VISIT BOLNA.AIThree-stage QA process
Set up a three-stage QA process: conversation-logic and domain testing that turns flaws into actionable issues, independent re-verification for regressions, then joint acceptance before deployment.
Internal CRM for AI implementations
Designed and built an internal CRM for AI implementations — projects, testing stage, prompt versions, issues, fixes, owners, deadlines and sign-offs — in place of tracking scattered across Excel and Docs.
AI calling operations at scale
Ran AI calling operations across 26,124 Vault call attempts (6,589 connected, 688 qualified) and 15,851 AllDoors leads at ~71% pickup, using call outcomes to separate agent failures from lead-quality problems.
COST CONTROL — ₹0.30 + GST per message on a 150,000-credit purchase.
Prompt engineering & go-to-market
Currently working hands-on with Bolna — an Indian AI voice agent builder — writing and versioning agent prompts, and supporting go-to-market for AI voice agent deployments.
TRACK RECORD
Glispro
Business Operations Analyst
- Evaluated logistics and operational workflows to identify inefficiencies and support process improvement initiatives across business operations.
- Developed structured Excel-based reporting mechanisms to improve visibility into operational performance, workflow status, and key business metrics.
- Consolidated operational data into management-ready reports, supporting internal reviews and performance monitoring activities.
- Analyzed operational trends and workflow observations to identify recurring bottlenecks and opportunities for efficiency improvements.
- Worked with cross-functional stakeholders to translate operational findings into actionable recommendations for process enhancement.
RV University Placement Cell
Corporate Affairs Coordinator | Student Placement Team
- Facilitated coordination between placement teams, students, and corporate stakeholders to streamline engagement and communication workflows.
- Maintained structured tracking systems for recruiter outreach, follow-ups, hiring stages, and engagement pipelines — ensuring visibility across ongoing placement activities.
- Consolidated recruiter requirements, student preferences, and stakeholder inputs into actionable reports supporting placement planning and targeting decisions.
- Established reporting and follow-up mechanisms to monitor engagement status, pending actions, and recruiter expectations across multiple hiring initiatives.
UHRS
AI Data Annotation & Relevance Evaluator
- Performed structured search relevance and data labelling tasks under defined quality guidelines — gaining exposure to how human feedback supports AI model training and accuracy improvement.
SELECTED WORK
Service Delivery & Adoption Optimization in a Multi-Stakeholder Ecosystem
- Mapped and analyzed an end-to-end service delivery workflow involving multiple stakeholder groups to identify operational bottlenecks impacting turnaround time and service adoption.
- Designed a KPI-based performance framework covering stakeholder responsiveness, verification TAT, process completion rates, and adoption metrics.
- Built an Excel and Power BI model using industry-informed assumptions to evaluate workflow efficiency — proposed standardized compliance workflows and structured follow-up mechanisms.
YouTube Analytics: Consumer Engagement & Content Performance Study
- Conducted analytical research using YouTube performance data across 43 countries — audience engagement trends, category-wise revenue efficiency, subscriber behavior patterns.
- Evaluated content positioning and engagement drivers using correlation, regression, and comparative statistical analysis.
- Developed insight-driven recommendations on audience targeting, upload strategies, and content optimization — presented through visual reporting and business-focused storytelling.
HR, Marketing & Sales Analytics Dashboards
- Built HR analytics uncovering attrition patterns based on gender, job role, and work-life balance — supporting data-driven HR strategies.
- Cleaned and visualized sales data to extract actionable insights, enabling smarter business decisions through clear, insight-rich dashboards.
RESEARCH LAB
Operational Impact Assessment of Agentic AI in SME Workflows
- Built a Python-based Monte Carlo simulation (10,000+ scenarios) to evaluate the cost, efficiency, and error rates of human vs. AI-driven financial workflows.
- Conducted ROI and sensitivity analyses to identify operational break-even points for enterprise automation investments.
- Developed a structured decision-making framework enabling businesses to evaluate AI integration based on cost, risk, and scalability.
Analyzing AI's Influence on Consumer Behavior in Retail Through Personalized Recommendations and Psychological Cues
AI is reshaping consumer behavior in retail through personalized recommendations, real-time cues, and dynamic promotions, while raising critical privacy concerns. This study, based on 75 responses, highlights AI's influence on purchase decisions and product discovery — emphasizing the need to balance innovation with ethical consumer data use.
FOUNDATION
RVURV University — Bengaluru
MBA, Artificial Intelligence & Data Science · 8-decade RV legacy, NAAC-accredited
BUSadhana College — Bengaluru
B.Com., Full Time — affiliated to Bangalore University
BENGALURU
COMMERCE FOUNDATION · BANGALORE UNIVERSITY
CAPABILITIES
/01 Business & Operations
Process Improvement, Workflow Analysis, Stakeholder Coordination, KPI Tracking, Business Reporting, Root Cause Analysis
/02 Analytics
Excel, Power BI, Python, SQL, Data Visualization, Statistical Analysis
/03 Research
Market Research, Survey Design, Consumer Analysis, Structured Problem Solving
/04 Systems & Tools
Bolna (AI voice agents), Microsoft Azure, Tally Prime, Notion, Agile Thinking, Technical Communication
CERTIFIED CREDENTIALS
C—01Excel Expert (MO-211)MICROSOFT
C—02Azure Fundamentals (AZ-900)MICROSOFT
C—03Azure AI Fundamentals (AI-900)MICROSOFT
C—04Basic Data Descriptors, Statistical Distributions & Application to Business DecisionsRICE UNIVERSITY
C—05Linear Regression for Business StatisticsRICE UNIVERSITY
C—06Marketing Analytics FoundationMETA
C—07Programming for Everybody (Getting Started with Python)UNIV. OF MICHIGAN
C—08Financial Statement AnalysisINTUIT
C—09Insights of Power BIFRACTAL
C—10Introduction to Cloud ComputingIBM