Strategic Business & Data Analyst with 9+ years of experience delivering enterprise-wide solutions across Fintech, Utilities, SaaS and Supply Chain sectors. Proven expertise in digital transformation, governance frameworks, and cross-platform system integration using Oracle, Workday, Salesforce, Jenzabar, Boomi, Workday, and SharePoint. Skilled in SQL, Python, and BI tools (Power BI, Qlik Sense, Tableau) with a strong foundation in SDLC, audit compliance, and data modeling. Successfully delivered and awarded for performance in delivery of product IPSH. Integrated LLM workflows to drive automation and executive insights. Known for simplifying complex data ecosystems into scalable, governed, and high-impact solutions aligned with business strategy.

AREAS OF EXPERTISE:

PROFESSIONAL EXPERIENCE:

Intuit

Sr. Data Scientist/Business Data Analyst 4                                                                                                                           Feb 25 – Present

Lead analytics initiatives to power AI enabling next-gen user navigation experiences in Fintech. Delivered governed data pipelines and scalable reporting solutions aligned with ML, and customer intelligence domains.

Achievements/Tasks:

• Led the development of enterprise-wide planning solutions by unifying GCP and Power Query data models, reducing forecasting cycles by 30% aligning with digital transformation goals.
• Collaborated with AI teams to integrate predictive modeling (Kubeflow, MLflow) into strategic planning workflows, elevating executive forecasting precision for FY26. Supported enterprise-wide Salesforce, Workday integrations, ensuring governance, data consistency, alignment with strategic reporting needs.
• Architected robust Python/SQL ETL pipelines for Workday, ICIMS data, automating workforce analytics on Qlik Sense – enhancing operational visibility by 40%. Dashboard presented at Intuit Hackerrank.
• Spearheaded cross-functional collaboration with Workday and Oracle system owners to streamline enterprise-wide data integration, aligning master data and improving reporting accuracy for revenue forecasting and workforce planning.
• Integrated SQL pipelines with Excel and Tableau dashboards by pulling data from GCP BigQuery—ensured real-time reporting, data accuracy, and reduced latency for demand forecasting models and EOL planning.
• Designed Excel-based planning models to support buffer calculations, inventory tracking, and NPI/EOL timelines—aligned with monthly S&OP cycles and enhanced by automated GCP data pulls.
• Designed and deployed machine learning pipelines using Apache Airflow, MLflow, and Kubeflow—from ingestion to model deployment—automating retraining based on data drift and performance metrics.
• Implemented anomaly detection using SQL/ time-series analysis to identify data discrepancies, improving forecast accuracy by 18%. Translated business goals into clear visualizations & AD-HOC insights.
• Automated data pipelines using SQL and BigQuery, integrating with Excel dashboards and Qlik Sense to reduce reporting latency by 40% and enable real-time data insights.
• Designed real-time executive dashboards using Qlik Sense to monitor partner lifecycle KPIs, enabling leadership to track integration health, GTM alignment, and strategic risk exposure.
• Built scalable GCP workflows and governed pipelines powering application-level dashboards across SharePoint, Qlik Sense, and Power BI—reducing latency by 40% and improving real-time strategic decisioning.
• Maintained a centralized Qlik Sense codebase for planning reports using version control and scripted automation logic—enabling seamless updates across 10+ dashboards.
• Led data integration across Workday, Oracle, aligning master data and KPIs for improved data quality, financial reporting, enhancing revenue visibility and reducing payment risk by 20%. Developed dimensional data models to support forecasting and scenario analysis in financial planning dashboards.
• Created automated Excel planning workbooks and Power BI dashboards with built-in capacity calculators and scenario logic—streamlining planning for 15+ Fintech and operations teams.
• Continuously identified process bottlenecks and delivered adaptive BI solutions in high-growth, deadline-driven environments.

• Conducted root cause analysis on forecast errors, influencing leadership decisions on data trust, KPIs.

Charge EPC                                                                                                                            Jan 23 – Jan 25

Senior Data Analyst

Worked as only analyst for multiple Utility infrastructure projects associated with the gas and electric giants in California for supply chain, improved decision- making and business performance of projects.

Achievements/Tasks

• Developed Power BI dashboards for real-time cost, revenue tracking, supply chain planning, underbilling/ overbilling projects across Oracle & HCSS; identified $350K in cost variance and enhanced project profitability visibility.
• Designed reporting pipelines with embedded SQL automation logic and dynamic parameters, reducing report latency and improving audit reliability.
• Developed governance-aligned dashboards and compliance KPIs to support SOX-readiness and regulatory reporting across utility project portfolios—improving transparency and reducing review time by 30%.
• Contributed to ERP integration by aligning Jenzabar SIS data feeds with Oracle-based reporting for PG&E intern initiatives—enabled real-time performance tracking, streamlined onboarding compliance.
• Developed Python-based anomaly detection and forecasting models, including XGBoost/NLP for field note classification—improving financial risk prediction by 7%, reducing compliance review time by 40%.
• Developed Excel VBA-based forecasting workbooks and scenario calculators for S&OP planning, safety stock estimates, and inventory tracking—automating manual inputs and improving planning accuracy for 20+ business teams.
• Created interactive Excel and Power BI dashboards that consolidated project performance metrics and supply forecasts—used in executive S&OP and planning meetings.
• Designed operational tooling in Power BI with embedded DAX logic and automation scripts to track revenue variance, cut reporting effort by 50%, and reduce billing anomalies across utility projects.
• Implemented Oracle ERP ETL pipelines for billing, order tracking, reducing 60% billing anomalies.
• Performed univariate and multivariate analysis on inventory and demand data to support safety stock forecasting, job-level planning, and supply chain buffer optimization.
• Created actionable reports and interactive dashboards using Power BI and Excel VBA macros, providing real-time insights to executive leadership and operational teams.
• Conducted comprehensive cost/ profitability analyses, Cash Flow Forecasting, and performed detailed business unit analyses for strategic decision-making and optimized financial performance measurement
• Created internal alert systems for profitability exposure, cutting monthly planning cycle time by 30%.
• Developed Python-based anomaly detection and forecasting models, including XGBoost/NLP for field note classification—improving financial risk prediction by 7%, reducing compliance review time by 40%.
• Applied data imputation techniques using Python’s Scikit-learn to handle missing or delayed project inputs, enhancing the accuracy of profitability and cash flow forecasts across multi-phase utility projects.
• Partnered with senior engineering and project executives to define system improvement initiatives, modernize project tracking applications, align operational KPIs with strategic outcomes using Python, Power BI—improving demand forecast accuracy by 5% & driving cost savings.

B2U Storage Solutions                                                                                                                         April 22 – Dec 22

Data Analyst

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

Achievements/Tasks

• Developed real-time KPI Power BI dashboard/ alert system for battery health, boosting asset uptime & reducing breakdown costs by 25%; collaborated with Supply Chain/ Finance teams to enhance inventory tracking, cost, planning—avoiding unplanned expenses, supporting cash flow, work order processing.
• Built a rule-based inventory ticketing system (Asset Management) to automate work order tracking and reduce unplanned maintenance costs—leading to a 15% improvement in process efficiency.
• Built Excel-based forecast models for inventory and supply management using historical demand trends—reduced stock outs by 20% and informed monthly procurement cycles.
• Enhanced ERP documentation and SOX compliance by auditing SAP/Oracle order-to-shipment flows, aligning with enterprise governance standards.
• Created SharePoint-integrated dashboards and automated asset tracking workflows using Power Automate and Qlik Sense—reducing incident response time and increasing SLA adherence for cross-functional teams.
• Partnered with supply chain and leadership to define performance metrics and reporting standards—delivering scalable BI solutions integrated with Boomi and other workflow platforms.
• Streamlined data ingestion workflows from raw inventory files into structured reporting views using Power Query and advanced Excel logic, reducing manual effort by 50%.
• Developed security-aware dashboards in Qlik Sense integrated with SharePoint permission structures, ensuring controlled access to sensitive asset performance reports.
• Streamlined supply chain planning processes by collaborating with executive teams, applying insights from real-time KPI dashboards.
• Built SharePoint-integrated dashboards and automated alerts using Power Automate for asset tracking workflows—reducing manual intervention by 40% and supporting incident review processes.

Intellect Design Arena Ltd.                                                                                                                           Dec 17 – Dec 20

Data Engineer

Worked and was awarded for successful, on time & in full delivery of banking payment processing product ’iPSH’ in iGTB for an established bank in North America.