Top Talent like Vunna Praveen are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Vunna Praveen kumar

Business Intelligence Analyst
Data Analyst
Operations Manager
Operations Management
Business Analytics
Business Operations
Automation
Data Analysis
Data Visualization
Data Migration
Data Management
Data Cleaning
Data Formatting
Google Sheets
Microsoft Excel
Available for hire fromNegotiable
Contracts
Strategic Operations & Data Architect | Ex-Flipkart (ANS Commerce) | Building Automated BI Systems & Operational Command Centers
I am a Strategic Operations Architect with a background in the Flipkart Group (ANS Commerce) and an Executive PG in Data Science from IIIT Bangalore. I specialize in building automated Google Sheets 'Command Centers' that transform fragmented data into high-efficiency business intelligence, such as the ₹1.08Cr tracking systems I engineered for premium enterprise brands. My approach combines advanced logic—using QUERY, ARRAYFORMULA, and REGEX—with a deep understanding of operational bottlenecks to identify revenue-at-risk and optimize team capacity. When I’m not architecting data pipelines, I’m exploring new ways to bridge the gap between complex technical insights and real-world business strategy.

Projects

Logistics Performance & SLA Audit

Framework Objective: Architected a high-fidelity audit ecosystem designed to ensure top-line revenue integrity for logistics-heavy operations. This engine provides executive-level visibility into global SLA breach rates and "Revenue at Risk," serving as a diagnostic tool to identify systemic failures before they impact the bottom line. Technical Architecture & Features: ➣ Geospatial Performance Analysis: Developed real-time visualizations for State-wise Shipping Latency, allowing leadership to pinpoint high-friction zones and evaluate logistical performance based on regional data. ➣ Data Consolidation & Normalization: Engineered using ARRAYFORMULA, QUERY, and IMPORTRANGE to process 9,800+ records with 100% data integrity, transforming fragmented shipping logs into a structured audit format. ➣ Operational Risk Detection: Built automated triggers to categorize "SLA Failure Ship Modes" and "Volume-Driven Breaches," quantifying the exact financial impact of service-level bottlenecks. Business Impact: ➣ Audit-Driven Revenue Protection: Replaced manual record-keeping with an automated Performance Dashboard to identify and mitigate active revenue leakage. ➣ Operational Accountability: Streamlined the reporting lifecycle by eliminating manual data-entry bottlenecks, providing leadership with a clear audit trail of regional latency and Ship Mode failures. ➣ Strategic Decision Support: Provided the performance benchmarks required to evaluate logistics service levels and justify the optimization of shipping strategies in underperforming regions.See More

Strategic Operations & Capacity Command Center

Framework Objective: Architected an automated decision-support system to transform fragmented operational logs into real-time strategic intelligence. This "Command Center" identifies Urgency Density and generates Prescriptive Strategic Directives, allowing leadership to pivot resources instantly based on live burnout thresholds. Technical Architecture & Features: ➣ Multi-Dimensional Matrix Logic: Engineered complex analytics engines using nested QUERY, MAP, and LAMBDA functions to generate dynamic, multi-factor reports within a single-cell logic flow. ➣ Prescriptive NLG Engine: Developed a Natural Language Generation layer that monitors a weighted Global Urgency Score. This engine translates abstract numerical metrics into human-readable directives (e.g., "Recommend pivoting support staff immediately") to automate executive inference. ➣ Scalable Named Range Mapping: Implemented a "hot-swappable" architecture by abstracting cell references into a central Named Range Registry, ensuring the system remains resilient if data sources expand or columns shift. ➢ Dual-Tier Data Pipeline: Constructed a split-workbook framework (Back-End Validation vs. Front-End Dashboard) synchronized via IMPORTRANGE to protect core analytics from raw data volatility. Business Impact: ➣ Elimination of "Data Noise": Shifted the operational focus from manual log interpretation to automated inference, drastically reducing the time-to-decision for stakeholders. ➣ Automated Burnout Mitigation: Utilized the Global Urgency Score as a leading indicator to trigger resource reallocation directives before departmental bottlenecks impact system throughput. ➣ High-Velocity Throughput: Isolated high-priority volumes from standard tasks, ensuring that critical, high-impact items are surfaced and resolved immediately to maintain seamless operational continuity.See More

Global Operations Sync & Workflow Manager

Framework Objective: Engineered a high-impact diagnostic framework to mitigate operational leakage and recover under-utilized capacity. Designed specifically for high-pressure environments (Q4 scale), this system identifies "Recovery Assets" within the payroll to liquidate million-dollar backlogs without increasing headcount. Technical Architecture & Features: ➣ Financial Risk Prioritization Logic: Developed a tri-layered filtering system to isolate high-value active tasks, directing management focus toward the highest fiscal impact areas. ➣ Strategic Capacity Discovery Engine: Built a diagnostic layer to systematically identify under-utilized personnel. By analyzing utilization rates, the system isolates Strategic Reserves of pre-paid labor, identifying idle payroll as a recovery asset. ➣ Dynamic Deployment Matrix: Created a tactical visibility tool that quantifies Weekly Deployment Capacity. This provides a real-time "resource cushion" to pivot toward high-priority bottlenecks. ➣ Capacity-to-Workload Mapping: Integrated logic that cross-references available labor hours against active task volumes to identify the most efficient path for backlog reduction. Business Impact: ➣ Operational Leakage Visibility: Quantified system-wide utilization gaps, providing the transparency needed to recover value from idle labor hours. ➣ Internal Resource Optimization: Demonstrated a framework for resolving high-urgency backlogs using existing internal capacity, reducing the need for additional budget or external hiring. ➣ ROI-Driven Resource Allocation: Enabled leadership to transition from a reactive state to a proactive Recovery Framework, ensuring labor is deployed against the most critical operational bottlenecks.See More

Work History

S

Independent Data Operations Consultant

Self-EmployedFreelancer➢ SME Operational Architecture: Engineered automated, interconnected Google Sheets ecosystems for SMEs transitioning from manual record-keeping; reduced reporting overhead by 40% via "Single Source of Truth" data pipelines. ➢ Performance Audit & SLA Engine: Architected a high-performance audit system processing 9,800+ records. Deployed synchronized data pipelines using ARRAYFORMULA, QUERY, and IMPORTRANGE to maintain real-time data integrity while identifying global SLA breach rates and revenue-at-risk. ➢ Operational Capacity Framework: Established a multi-stage data pipeline using MAP, LAMBDA, and REGEX to normalize complex workflow data. Leveraged Nested QUERY matrices and INDEX-driven logic to generate prescriptive insights into WIP saturation and departmental bottlenecks. ➢ Workflow Optimization & Recovery: Constructed a real-time Global Operations Hub using FILTER and XLOOKUP to quantify operational leakage. Automated an operational "Rescue Hour" recovery system using INDEX logic to synchronize capacity audits and liquidate backlogs without increasing headcount.
A

Senior Marketing Associate (Data & Operations)

ANS Commerce (Flipkart Group)Full-time EmployeeApr 2023 - Dec 2023 • 9 mos➢ Operational Bridge & "Client Champion" (Q3 2023): Acted as the central technical lead for premium enterprise accounts (Aldo, Bath & Body Works, Onitsuka Tiger). Honored with the "Client Champion" award for engineering automated dashboards that ensured 100% stakeholder visibility and real-time operational reliability across tech and marketing teams. ➢ Interconnected Infrastructure & Budget Ops: Synchronized disparate data from Meta, Google Ads, and GA4 into unified "Single Source of Truth" workbooks. Automated a ₹1.08Cr campaign tracking system, surpassing planned reach by 46% while achieving a 10% lower CPM through real-time pacing logic. ➢ Workflow Automation & Performance Engineering: Optimized complex reporting pipelines using REGEX and FILTER logic for enterprise accounts. Revamped Google Merchant Center (GMC) feeds via bulk Data Cleaning, resulting in a 15% reduction in CPC and a 20% increase in ROAS.
A

Marketing Associate (Data & Operations)

ANS Commerce (Flipkart Group)Full-time EmployeeMar 2022 - Mar 2023 • 1 yr 1 mo➢ Revenue Scaling & Precision Tracking: Successfully scaled high-profile global accounts (Aldo, Bath & Body Works, Onitsuka Tiger) boosting quarterly revenue via meticulously planned campaign structures. Maintained a consistent 10x+ ROAS (peaking at 16x) by architecting ARRAYFORMULA and Nested QUERY trackers to monitor and optimize daily performance shifts. ➢ Portfolio Management (Growth Phase): Managed ₹50L/month aggregate budgets with 100% pacing accuracy. Built the initial automated tracking systems using IMPORTRANGE to consolidate data across 10+ accounts, which laid the foundation for the team's standardized reporting. ➢ Conversion Optimization: Leveraged data-driven landing page sorting and creative prioritization to support a 282% conversion increase. Developed automated dashboards that identified high-priority inventory, resulting in a 10% uplift in site-wide conversion via granular product-level audits.
A

Marketing Intern (Data & Operations)

ANS Commerce (Flipkart Group)InternJan 2022 - Feb 2022 • 2 mos➢ Media Modeling & Financial Projections: Developed complex one-year media plans and financial models in Google Sheets. Utilized spreadsheet modeling to forecast budget allocations across platforms to hit brand-specific KPIs and project future growth. ➢ Technical Audit & Sales Support: Conducted granular audits of Facebook and Google Ad accounts to identify "Creative Fatigue" and Budget Leakage. Translated technical findings into strategic presentations used by the Sales department to successfully pitch and close new enterprise clients. ➢ Data-Driven Keyword Research: Scaled brand visibility for apparel clients by using advanced FILTER and SORT logic to identify high-performing search terms while negating irrelevant data to increase ROI.
I

Research Assistant

Indian Institute of Corporate AffairsInternDec 2019 - Jan 2020 • 2 mos➢ Primary Data Lifecycle Management: Executed a large-scale field survey, personally conducting 700+ stakeholder interviews. Transformed fragmented field observations into a structured, high-integrity database used for government-level policy reporting. ➢ Quantitative Impact Analysis: Collaborated with the IICA research team to process complex socio-economic datasets. Measured improvements in tribal household income and evaluated the impact of financial assistance schemes through structured quantitative research workflows. ➢ Data Integrity: Ensured 100% accuracy in data entry and qualitative analysis, demonstrating early proficiency in handling large-scale datasets for high-stakes reporting.

Education

I

International Institute of Information Technology Bangalore

Executive PG Programme in Data Science & AIJan 2024 - Feb 2025
L

Lovely Professional University

B.Sc. Economics (Hons)Aug 2017 - Jan 2021

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Strategic Operations & Data Architect | Ex-Flipkart (ANS Commerce) | Building Automated BI Systems & Operational Command Centers
I am a Strategic Operations Architect with a background in the Flipkart Group (ANS Commerce) and an Executive PG in Data Science from IIIT Bangalore. I specialize in building automated Google Sheets 'Command Centers' that transform fragmented data into high-efficiency business intelligence, such as the ₹1.08Cr tracking systems I engineered for premium enterprise brands. My approach combines advanced logic—using QUERY, ARRAYFORMULA, and REGEX—with a deep understanding of operational bottlenecks to identify revenue-at-risk and optimize team capacity. When I’m not architecting data pipelines, I’m exploring new ways to bridge the gap between complex technical insights and real-world business strategy.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Vunna Praveen are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Vunna Praveen kumar

Business Intelligence Analyst
Data Analyst
Operations Manager
Operations Management
Business Analytics
Business Operations
Automation
Data Analysis
Data Visualization
Data Migration
Data Management
Data Cleaning
Data Formatting
Google Sheets
Microsoft Excel
Available for hire fromNegotiable
Contracts

Projects

Logistics Performance & SLA Audit

Framework Objective: Architected a high-fidelity audit ecosystem designed to ensure top-line revenue integrity for logistics-heavy operations. This engine provides executive-level visibility into global SLA breach rates and "Revenue at Risk," serving as a diagnostic tool to identify systemic failures before they impact the bottom line. Technical Architecture & Features: ➣ Geospatial Performance Analysis: Developed real-time visualizations for State-wise Shipping Latency, allowing leadership to pinpoint high-friction zones and evaluate logistical performance based on regional data. ➣ Data Consolidation & Normalization: Engineered using ARRAYFORMULA, QUERY, and IMPORTRANGE to process 9,800+ records with 100% data integrity, transforming fragmented shipping logs into a structured audit format. ➣ Operational Risk Detection: Built automated triggers to categorize "SLA Failure Ship Modes" and "Volume-Driven Breaches," quantifying the exact financial impact of service-level bottlenecks. Business Impact: ➣ Audit-Driven Revenue Protection: Replaced manual record-keeping with an automated Performance Dashboard to identify and mitigate active revenue leakage. ➣ Operational Accountability: Streamlined the reporting lifecycle by eliminating manual data-entry bottlenecks, providing leadership with a clear audit trail of regional latency and Ship Mode failures. ➣ Strategic Decision Support: Provided the performance benchmarks required to evaluate logistics service levels and justify the optimization of shipping strategies in underperforming regions.

Strategic Operations & Capacity Command Center

Framework Objective: Architected an automated decision-support system to transform fragmented operational logs into real-time strategic intelligence. This "Command Center" identifies Urgency Density and generates Prescriptive Strategic Directives, allowing leadership to pivot resources instantly based on live burnout thresholds. Technical Architecture & Features: ➣ Multi-Dimensional Matrix Logic: Engineered complex analytics engines using nested QUERY, MAP, and LAMBDA functions to generate dynamic, multi-factor reports within a single-cell logic flow. ➣ Prescriptive NLG Engine: Developed a Natural Language Generation layer that monitors a weighted Global Urgency Score. This engine translates abstract numerical metrics into human-readable directives (e.g., "Recommend pivoting support staff immediately") to automate executive inference. ➣ Scalable Named Range Mapping: Implemented a "hot-swappable" architecture by abstracting cell references into a central Named Range Registry, ensuring the system remains resilient if data sources expand or columns shift. ➢ Dual-Tier Data Pipeline: Constructed a split-workbook framework (Back-End Validation vs. Front-End Dashboard) synchronized via IMPORTRANGE to protect core analytics from raw data volatility. Business Impact: ➣ Elimination of "Data Noise": Shifted the operational focus from manual log interpretation to automated inference, drastically reducing the time-to-decision for stakeholders. ➣ Automated Burnout Mitigation: Utilized the Global Urgency Score as a leading indicator to trigger resource reallocation directives before departmental bottlenecks impact system throughput. ➣ High-Velocity Throughput: Isolated high-priority volumes from standard tasks, ensuring that critical, high-impact items are surfaced and resolved immediately to maintain seamless operational continuity.

Global Operations Sync & Workflow Manager

Framework Objective: Engineered a high-impact diagnostic framework to mitigate operational leakage and recover under-utilized capacity. Designed specifically for high-pressure environments (Q4 scale), this system identifies "Recovery Assets" within the payroll to liquidate million-dollar backlogs without increasing headcount. Technical Architecture & Features: ➣ Financial Risk Prioritization Logic: Developed a tri-layered filtering system to isolate high-value active tasks, directing management focus toward the highest fiscal impact areas. ➣ Strategic Capacity Discovery Engine: Built a diagnostic layer to systematically identify under-utilized personnel. By analyzing utilization rates, the system isolates Strategic Reserves of pre-paid labor, identifying idle payroll as a recovery asset. ➣ Dynamic Deployment Matrix: Created a tactical visibility tool that quantifies Weekly Deployment Capacity. This provides a real-time "resource cushion" to pivot toward high-priority bottlenecks. ➣ Capacity-to-Workload Mapping: Integrated logic that cross-references available labor hours against active task volumes to identify the most efficient path for backlog reduction. Business Impact: ➣ Operational Leakage Visibility: Quantified system-wide utilization gaps, providing the transparency needed to recover value from idle labor hours. ➣ Internal Resource Optimization: Demonstrated a framework for resolving high-urgency backlogs using existing internal capacity, reducing the need for additional budget or external hiring. ➣ ROI-Driven Resource Allocation: Enabled leadership to transition from a reactive state to a proactive Recovery Framework, ensuring labor is deployed against the most critical operational bottlenecks.

Work History

S

Independent Data Operations Consultant

Self-EmployedFreelancer➢ SME Operational Architecture: Engineered automated, interconnected Google Sheets ecosystems for SMEs transitioning from manual record-keeping; reduced reporting overhead by 40% via "Single Source of Truth" data pipelines. ➢ Performance Audit & SLA Engine: Architected a high-performance audit system processing 9,800+ records. Deployed synchronized data pipelines using ARRAYFORMULA, QUERY, and IMPORTRANGE to maintain real-time data integrity while identifying global SLA breach rates and revenue-at-risk. ➢ Operational Capacity Framework: Established a multi-stage data pipeline using MAP, LAMBDA, and REGEX to normalize complex workflow data. Leveraged Nested QUERY matrices and INDEX-driven logic to generate prescriptive insights into WIP saturation and departmental bottlenecks. ➢ Workflow Optimization & Recovery: Constructed a real-time Global Operations Hub using FILTER and XLOOKUP to quantify operational leakage. Automated an operational "Rescue Hour" recovery system using INDEX logic to synchronize capacity audits and liquidate backlogs without increasing headcount.
A

Senior Marketing Associate (Data & Operations)

ANS Commerce (Flipkart Group)Full-time EmployeeApr 2023 - Dec 2023 • 9 mos➢ Operational Bridge & "Client Champion" (Q3 2023): Acted as the central technical lead for premium enterprise accounts (Aldo, Bath & Body Works, Onitsuka Tiger). Honored with the "Client Champion" award for engineering automated dashboards that ensured 100% stakeholder visibility and real-time operational reliability across tech and marketing teams. ➢ Interconnected Infrastructure & Budget Ops: Synchronized disparate data from Meta, Google Ads, and GA4 into unified "Single Source of Truth" workbooks. Automated a ₹1.08Cr campaign tracking system, surpassing planned reach by 46% while achieving a 10% lower CPM through real-time pacing logic. ➢ Workflow Automation & Performance Engineering: Optimized complex reporting pipelines using REGEX and FILTER logic for enterprise accounts. Revamped Google Merchant Center (GMC) feeds via bulk Data Cleaning, resulting in a 15% reduction in CPC and a 20% increase in ROAS.
A

Marketing Associate (Data & Operations)

ANS Commerce (Flipkart Group)Full-time EmployeeMar 2022 - Mar 2023 • 1 yr 1 mo➢ Revenue Scaling & Precision Tracking: Successfully scaled high-profile global accounts (Aldo, Bath & Body Works, Onitsuka Tiger) boosting quarterly revenue via meticulously planned campaign structures. Maintained a consistent 10x+ ROAS (peaking at 16x) by architecting ARRAYFORMULA and Nested QUERY trackers to monitor and optimize daily performance shifts. ➢ Portfolio Management (Growth Phase): Managed ₹50L/month aggregate budgets with 100% pacing accuracy. Built the initial automated tracking systems using IMPORTRANGE to consolidate data across 10+ accounts, which laid the foundation for the team's standardized reporting. ➢ Conversion Optimization: Leveraged data-driven landing page sorting and creative prioritization to support a 282% conversion increase. Developed automated dashboards that identified high-priority inventory, resulting in a 10% uplift in site-wide conversion via granular product-level audits.
A

Marketing Intern (Data & Operations)

ANS Commerce (Flipkart Group)InternJan 2022 - Feb 2022 • 2 mos➢ Media Modeling & Financial Projections: Developed complex one-year media plans and financial models in Google Sheets. Utilized spreadsheet modeling to forecast budget allocations across platforms to hit brand-specific KPIs and project future growth. ➢ Technical Audit & Sales Support: Conducted granular audits of Facebook and Google Ad accounts to identify "Creative Fatigue" and Budget Leakage. Translated technical findings into strategic presentations used by the Sales department to successfully pitch and close new enterprise clients. ➢ Data-Driven Keyword Research: Scaled brand visibility for apparel clients by using advanced FILTER and SORT logic to identify high-performing search terms while negating irrelevant data to increase ROI.
I

Research Assistant

Indian Institute of Corporate AffairsInternDec 2019 - Jan 2020 • 2 mos➢ Primary Data Lifecycle Management: Executed a large-scale field survey, personally conducting 700+ stakeholder interviews. Transformed fragmented field observations into a structured, high-integrity database used for government-level policy reporting. ➢ Quantitative Impact Analysis: Collaborated with the IICA research team to process complex socio-economic datasets. Measured improvements in tribal household income and evaluated the impact of financial assistance schemes through structured quantitative research workflows. ➢ Data Integrity: Ensured 100% accuracy in data entry and qualitative analysis, demonstrating early proficiency in handling large-scale datasets for high-stakes reporting.

Education

I

International Institute of Information Technology Bangalore

Executive PG Programme in Data Science & AIJan 2024 - Feb 2025
L

Lovely Professional University

B.Sc. Economics (Hons)Aug 2017 - Jan 2021

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Pangea empowers fractional work across the world for marketing and design roles.