Sayali  – Data Science Expert/ Business System Analyst IV  –  10 years Exp – Our own H1B – Local to Bay Area CA – Willing to relocate anywhere in USA

Sayali – Data Science Expert/ Business System Analyst IV –  10 years Exp – Our own H1B – Local to Bay Area CA – Willing to relocate anywhere in USA

Sayali's Resume

 

PROFILE SUMMARY                                                                                                                                                                         .                                                                                                                                                                                          

Senior Data Analytics & AI Strategy Lead with ~10 years of experience delivering financial, operational, and growth analytics across FinTech, SaaS, Utilities, and EV/IoT infrastructure. Proven partner to CFOs and executive leadership, building FP&A systems, forecasting models, KPI frameworks, and AI-enabled decision platforms. Strong expertise in SQL, Python, BI, data modeling, and applied GenAI / ML, translating complex data into audit-ready, scalable, executive-level insights.

PROFESSIONAL EXPERIENCE SUMMARY                                                                                                                                  .                                                                                                                                          

Data Science Expert/ Business System Analyst IV     INTUIT                                                                                    Feb 2025 – present Senior analytics lead supporting QuickBooks & TurboTax executive planning, AI alignment, and workforce + financial decision systems.

• Led end-to-end enterprise planning, workforce analytics, and FP&A reporting for QuickBooks and TurboTax by consolidating fragmented finance, HR, and GTM datasets into governed analytical models, enabling leadership to make data-driven decisions with a single source of truth (SQL, Python, BigQuery)
• Reduced forecasting and planning cycles by 30% by designing scalable planning datasets and automated validation logic, eliminating manual spreadsheet reconciliation and improving forecast accuracy across AOP and QBR processes (SQL, Python, BigQuery)
• Built enterprise workforce analytics pipelines integrating Workday and iCIMS data to support headcount planning, hiring funnel metrics, attrition analysis, and capacity modeling, increasing executive visibility by 40% (Databricks, SQL, BigQuery)
• Designed and maintained executive-ready KPI dashboards for Finance, Operations, and GTM leaders, ensuring consistent metric definitions, audit readiness, and repeatable reporting standards (Power BI, Qlik Sense, Looker)
• Improved KPI accuracy by 18% by implementing anomaly detection, trend validation, and reconciliation checks to proactively identify data issues before executive reviews (Python, SQL, Data Quality Frameworks)
• Built AI-assisted analytics workflows that generated automated executive summaries, variance explanations, and planning insights, reducing manual analyst effort and accelerating decision-making (Python, GenAI, Power BI)
• Designed LLM-enabled analytics copilots allowing Finance and Operations stakeholders to query governed datasets using natural language while enforcing access controls and governance (LLMs, RAG, BigQuery)
• Developed standardized semantic layers and metric frameworks to support self-serve analytics across Finance, Sales, and Operations, improving metric consistency and stakeholder adoption (LookML, SQL)
• Contributed to ML pipeline experimentation and monitoring workflows by supporting model version tracking, experiment comparison, and reproducibility for forecasting and anomaly detection use cases used in Finance and Operations analytics (MLflow, Python)
• Supported LLM-based analytics initiatives by assisting with prompt design, testing, and integration of AI-generated summaries into planning and reporting workflows, improving insight delivery for executive stakeholders (LLMs, GenAI, Python)
• Delivered an Intuit Hackerrank-recognized analytics solution integrating workforce, financial, and AI-generated insights, showcased internally as a scalable best-practice analytics platform (Qlik Sense, SQL, Python)
• Established data governance and audit-ready controls, including validation rules, refresh monitoring, and reconciliation scorecards to support SOX and enterprise compliance requirements (SQL, Python)
• Mentored and reviewed work of junior analysts and interns, providing guidance on SQL optimization, KPI design, dashboard best practices, and analytics storytelling (Team Leadership)

Data Analyst/ Data Science Expert                           CHARGE EPC                                                                   Jan 23 – Jan 2025

Worked on multiple infrastructure projects associated with the gas/electric giants for better decision making, business, operations & financial  performance cross-functional teams. Part of the Planning/ Operations team.

• Served as a direct analytics partner to the CFO, delivering FP&A reporting, financial forecasting, and operational performance analytics for multi-million-dollar utility infrastructure projects (Executive Stakeholder Management)
• Led ERP reporting modernization and transition, standardizing job cost, billing, revenue, and margin data from legacy systems into a centralized analytics layer to support scalable financial reporting (ERP Transition, SQL, Data Modeling)
• Built CFO-ready FP&A dashboards tracking budget vs actuals, forecast accuracy, project margin, cash flow, WIP, and AR aging, improving leadership visibility and financial decision cadence (Power BI, Qlik Sense)
• Identified and surfaced $350K+ in cost variance and billing discrepancies by integrating ERP, project cost, and revenue datasets into governed analytical models (SQL, Oracle ERP, HCSS)
• Automated month-end close and reconciliation analytics, reducing manual effort and improving audit readiness through repeatable validation and variance checks (SQL, Python)
• Designed predictive cost and demand forecasting models to support capital allocation and project planning, improving forecast accuracy by 10% (Python, Forecasting Models)
• Implemented anomaly detection logic within billing and cost pipelines to proactively identify irregularities, reducing financial discrepancies by 20% (Spark SQL, PySpark)
• Supported machine learning model development and deployment workflows by preparing analytical datasets, validating model outputs, and assisting with scheduled retraining pipelines for cost forecasting and anomaly detection (Kubeflow, Python, ML Pipelines)
• Contributed to AI-driven analytics and automation initiatives by assisting with model evaluation and integration of ML outputs into financial dashboards and reporting workflows used by Finance and Operations teams (ML, Python, Power BI)
• Built AI-assisted variance analysis workflows to automatically explain drivers of cost overruns, margin leakage, and schedule risk (Python, ML)
• Delivered self-serve executive planning tools enabling scenario modeling for labor utilization, demand forecasting, and capital planning (Power BI, Scenario Modeling)
• Partnered cross-functionally with Finance, Operations, and Project Controls teams to translate complex business requirements into scalable analytics solutions (Business Analysis, Analytics Translation)
• Managed and reviewed work of junior analysts, setting standards for financial metric accuracy, SQL performance, and executive-level dashboard quality (Team Oversight)
• Delivered scalable KPI frameworks for project operations (labor utilization, schedule variance, cost variance, subcontractor performance), improving operational efficiency and proactive risk identification (Power BI/Qlik, SQL).
• Partnered directly with the CFO and Finance leadership to translate planning + reporting requirements into repeatable models and self-serve dashboards, strengthening forecasting discipline and stakeholder adoption (Exec stakeholder management, BI enablement).

Data Analyst                                                             B2U STORAGE SOLUTIONS                                            May 2022 – Dec 2022

Second Life EV batteries are utilized to generate electricity which is sold for commercial use. Analyzed data to optimize performance and managed supply chain and inventory.

• Designed a comprehensive IoT-based asset hierarchy model linking batteries, components, and sites, enabling standardized analytics for asset performance, availability, and maintenance readiness (SQL, Python, IoT Data)
• Built an automated, data-driven ticketing system that converted asset health signals into Limble CMMS work orders, significantly reducing manual triage and improving maintenance response time (Python, Power Automate, Limble CMMS)
• Developed operational and executive dashboards tracking uptime, utilization, inventory aging, downtime trends, and repair cycle time to support cross-functional decision-making (Qlik Sense, Power BI)
• Applied anomaly detection and threshold-based monitoring on sensor telemetry to proactively identify degradation patterns and operational risk (Python, Time-Series Analysis)
• Partnered with Operations and Engineering teams to translate ambiguous operational challenges into measurable KPIs and actionable insights (Stakeholder Collaboration, Data Storytelling)

Product Data Engineer/ FP&A Analyst                    INTELLECT DESIGN ARENA LTD.                                   Dec 2017 – Sept 2020

Awarded for successful, on time and in full delivery of Fintech / banking payment processing product(SaaS) ’iPSH’ in iGTB  and Insurance Fraud product ‘Xponent’ for established banks in North America.

• Engineered SQL/Python BI pipelines and dashboards for ACH, wires, RTP payments, claims, billing, and fraud workflows, enhancing KPI visibility and accelerating audit/compliance reporting. (SQL, Python, Snowflake/Tableau)
• Increased KPI visibility and accelerated audit/compliance reporting by 40% by engineering SQL/Python BI pipelines and dashboards across ACH, wires, RTP, claims, billing, and fraud workflows—enhancing operational oversight for U.S. banking clients.
• Improved payments approval accuracy and reduced fraud losses by analyzing and documenting business + technical requirements for the SaaS-based payments platform (iPSH); mapped ACH/Wires/RTP payment workflows and authored BRDs/FRDs defining risk scoring and approval-rate logic. (BRD/FRD Writing, Workflow Mapping)
• Enhanced platform reliability, fraud-detection accuracy by supporting full SDLC delivery—eliciting requirements, defining acceptance criteria, validating test scenarios with QA, coordinating UAT sign-offs for major BFSI feature releases. (SDLC, UAT, QA)
• Accelerated feature delivery and reduced integration defects by 30% by collaborating with architects to design API integrations, microservices interactions, and end-to-end data flows for payments, onboarding, approvals, and fraud checks; produced sequence diagrams, integration maps, and detailed acceptance criteria. (API Design, Microservices, Architecture Documentation)
• Reduced compliance & audit errors by 30% by developing regulatory dashboards for AML/KYC, SOX, sanctions screening, and ISO 20022 reporting—improving transparency into high-risk payment workflows and strengthening governance across banking clients. (AML/KYC Rules, ISO 20022, Tableau/Power BI)

Business Data Analyst(Marketing Analytics)            GLOBUZZ MEDIA                                                        Jan 2016 – Dec 2017

Marketing startup analyst performing duties across Data, Digital Marketing Analytics, CRM,etc

• Supported marketing and growth analytics by analyzing campaign performance, customer engagement, and ROI metrics, contributing insights used to optimize marketing spend (SQL, Python)
• Assisted in automating recurring marketing and performance reporting, reducing manual reporting effort and improving turnaround time for leadership (Python, SQL)

EDUCATION​​                                                                                                                                                                                   .                                                                                                                                                                                 

• MS in Business/ Data Analytics                                                                      California State University, EastBay          Dec 2022
• Post Graduate Diploma in Advanced Computing (CDAC)                             University of Pune                           Aug 2017
• Bachelor of Computer Engineering                                                                 University of Pune                           Jun 2016

SKILLS                                                                                                                                                                                                            .                                                                                                                                                                                          

Data & Analytics: SQL, Python, BigQuery, Snowflake, Databricks, dbt, Spark, PySpark, ETL/ELT, Data Modeling (Star/Snowflake), KPI Frameworks, Forecasting, Scenario Modeling, A/B Testing

BI & Reporting: Power BI, Qlik Sense, Tableau, Looker/LookML, DAX, Executive Dashboards, FP&A Reporting

AI / ML / GenAI: Applied Machine Learning, XGBoost, Scikit-learn, TensorFlow, PyTorch, LLMs (GPT-4, LLaMA), RAG, Prompt Engineering, MLflow, Vertex AI

Business & Finance: FP&A, Budgeting, Revenue Analytics, Workforce Planning, AOP/QBRs, Cost Variance, Margin Analysis, GAAP, SOX

Systems & Tools: Salesforce, Workday, iCIMS, Oracle ERP, Viewpoint Vista, SAP, Limble CMMS, Jira, Confluence, Git

Governance & Delivery: Data Quality, Audit Readiness, Controls, Stakeholder Management, Agile / SDLC

Kushal Desai