Sharad Pal

Associate Partner

Bengaluru, Karnataka, India11 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 11+ years in analytics and decision science leadership.
  • Expert in building data-driven solutions for complex challenges.
  • Proven track record in optimizing operational efficiency.
Stackforce AI infers this person is a Data Science and Analytics leader in the Technology and Utilities sectors.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningProcess Improvement

Other Skills

Multivariate AnalysisSQLMicrosoft Power BIAlteryxPython (Programming Language)Process ReengineeringData Analytics & GovernanceDashboard BuildingPYTHONTeradata SQLMicrosoft ExcelPowerPointData StrategiesVisual AnalyticsData Aggregation

About

I am a senior analytics and decision science leader with 11+ years of experience building, scaling, and operationalizing data-driven solutions across consulting, financial services, and large enterprise environments. My work sits at the intersection of business strategy, advanced analytics, and execution, with a clear focus on impact over activity. Over the course of my career, I have led complex, high-stakes analytics programs—owning problems end to end: from shaping ambiguous business questions, to architecting analytical frameworks, to delivering outcomes that materially improve cost efficiency, compliance, risk visibility, and customer experience. I have worked closely with senior leadership and global stakeholders, often acting as the bridge between business intent and analytical reality. My expertise spans: Decision science & performance analytics at scale Designing and governing enterprise KPI frameworks across geographies, LOBs, and time horizons Applying statistical techniques (SPC, trend analysis), SQL-based rule engines, and large-scale data modeling to detect risk, improve compliance, and drive proactive operational interventions Leading analytics that optimize field operations, reduce operational leakage, and prevent avoidable costs Beyond analytics, I am deeply invested in leadership and system-building. I have managed multi-skilled analytics teams, overseen hiring and resourcing, set technical and quality standards, and ensured delivery under tight timelines and evolving priorities. I am comfortable operating in fast-paced, imperfect environments, where clarity, judgment, and decisiveness matter more than theoretical perfection. What defines my approach is first-principles thinking. I do not treat analytics as reporting or tooling—I treat it as a decision-making discipline. I focus on root causes, scalable logic, and solutions that continue to deliver value long after initial deployment. At this stage of my career, I am intentionally targeting senior leadership roles where I can: Shape analytics strategy, not just execution Influence business direction, risk posture, and operating models Build durable analytics capabilities that become core to how organizations think and decide

Experience

11 yrs 4 mos
Total Experience
3 yrs 8 mos
Average Tenure
2 mos
Current Experience

Indigo (interglobe aviation ltd)

Associate Director

Apr 2026Present · 2 mos · Gurugram, Haryana, India · On-site

  • Associate Director – Planning & Analytics | IndiGo**
  • Lead strategic planning and advanced analytics for one of the world’s largest and fastest-growing airlines, driving data-led decisions across network planning, crew optimization, and operational

Ey

Senior Technical Manager

Aug 2024Mar 2026 · 1 yr 7 mos · Gurugram, Haryana, India · Hybrid

  • Providing strategic technology consulting for American Express, leading a company-wide data migration initiative impacting 2 million customers. Managing client relationships, directing stakeholder collaboration across 20+ platforms, and delivering scalable analytical solutions to solve complex data challenges.

Pwc

Senior Associate

Nov 2021Aug 2024 · 2 yrs 9 mos · Bengaluru, Karnataka, India

  • Building a data-driven solution for a US-based Power & Utility Company, to optimize theft
  • detection and operational costs
  • Developing theft prediction classification model using historical labeled theft data
  • Creating end-to-end machine learning pipeline, including EDA, training XGBoost,
  • CATBoost, Random Forest, and Ensemble models, and performing daily predictions on
  • Data Bricks
  • Designing and implementing PowerBI dashboard for real-time client-requested information
Multivariate AnalysisSQLMicrosoft Power BIAlteryxPython (Programming Language)Process Reengineering+4

Dell technologies

5 roles

Advisor, PAG

Apr 2019Nov 2021 · 2 yrs 7 mos

  • Reduced AP P2P $STP_Gap for Ariba P2P invoices (days difference between Scheduled
  • Due Date and Payment Date) to align with Ariba online baseline
  • Developed a "Top 50 Requestor Dashboard" providing a monthly view of relevant
  • information, such as STP_Gap trend, Invoice journey, and top defaulters
  • Created a new metric called "Impact" to rank top defaulters among all requestors and
  • provide a complete view of requestors' performance and STP_Gap$ trend
  • Achieved a significant improvement in STP_Gap$ for EMEA, reducing from 38 days to 13
  • days in the last 4 months (Q4_M3-Q2_M1)
PYTHONTeradata SQLMicrosoft ExcelProcess ReengineeringData Analytics & GovernanceDashboard Building+3

Business Consultant

Promoted

Jan 2019Nov 2021 · 2 yrs 10 mos

  • Optimized collections strategies and risk management by developing invoice risk scoring models and leveraging historical data. Designed and implemented PowerBI dashboards to enhance governance and identify process improvements.

Sr Business Analyst

Dec 2016Apr 2019 · 2 yrs 4 mos

Process ReengineeringData Analytics & GovernanceDashboard BuildingData Analytics

Senior Business Analyst

Promoted

Jan 2016Jan 2019 · 3 yrs

  • Led the development of machine learning models to predict and rank lead conversions. Created comprehensive visual reporting solutions to facilitate data-driven decision-making and optimize field operations through predictive analytics.

Business Analyst

Jan 2015Jan 2016 · 1 yr

  • Developed and optimized a SQL-based rule engine with Statistical Process Control (SPC) algorithms to detect and reduce violations in dispatch operations, leading to improved compliance and operational efficiency across the EMEA region.
Process ReengineeringData Analytics & GovernanceDashboard BuildingData Analytics

Education

Indian Institute of Technology, Bombay

Master's degree — Applied Statistics & Informatics

Jan 2013Jan 2015

Banaras Hindu University (BHU), Varanasi

Bachelor of Science - BS — Statistics

Jul 2010May 2015

Banaras Hindu University (BHU), Varanasi

Bachelor's degree — Statistics

Jul 2010May 2013

Banaras Hindu University

Bachelor of Science - BS — Statistics

Jan 2010Jan 2013

Banaras Hindu University

B.Sc. (Statistics)

IIT Bombay

M.Sc. (Applied Statistics & Informatics)

Indian Institute of Technology, Bombay

Master's degree — Statistics

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