I build the infrastructure that makes financial analysis faster, smarter, and audit-ready.

Financial Analyst with 9+ years of experience in banking and financial services, specializing in liquidity risk, forecasting, and financial modeling.

I don't just analyze — I build automated reporting pipelines and data-driven dashboards that drive up to 40% efficiency gains, enabling faster and more accurate treasury decision-making.

M.S. Accounting Analytics & Data Technology — Pace University (Dec 2025) · CPA Candidate · Bloomberg BMC/BFF Certified · Oracle ERP/EPM Certified · F-1 STEM OPT through Dec 2029

New York, USA · Jul 2025 – Present

• Orchestrated end-to-end enterprise forecasting and rolling budget cycles across multiple business units by integrating SQL-driven data pipelines with Python-based predictive models — improving forecast accuracy by 27%
• Architected multi-scenario financial models incorporating sensitivity analysis, macroeconomic indicators, and revenue drivers, enabling executive teams to simulate downside risk — reducing financial uncertainty exposure by 22%
• Engineered real-time executive dashboards in Power BI by consolidating fragmented ERP and transactional data sources — cutting reporting latency from 48 hours to under 2 hours
• Delivered granular variance analysis frameworks linking operational KPIs with financial outcomes, uncovering hidden cost leakages — reducing controllable expenses by 16% across core portfolios
• Automated complex financial reporting workflows using Python scripting and advanced Excel modeling, standardizing data validation and reconciliation — improving reporting accuracy to 99.5%

India · Mar 2021 – Dec 2024

• Built integrated financial planning models combining revenue forecasting, cost allocation, and cash flow projections, enabling leadership to manage $50M+ annual budgets with a 24% improvement in forecast reliability
• Led scenario-based planning initiatives designing sensitivity-driven frameworks evaluating multiple growth and cost scenarios — improving strategic decision-making speed by 30% during volatile business cycles
• Developed interactive KPI tracking ecosystems using Tableau connecting operational and financial metrics — reducing reporting turnaround time by 38%
• Performed deep-dive cost structure analysis across departments, identifying inefficiencies in resource allocation and vendor spend — sustaining an 18% reduction in operational costs
• Automated large-scale financial data processing and reporting using SQL queries and Excel VBA — reducing manual reporting workload by 50% while improving data consistency
• Strengthened financial governance by aligning reporting processes with US GAAP and SOX requirements — reducing audit findings by 25%

India · Jun 2019 – Feb 2021

• Designed robust financial and cash flow models integrating revenue streams, cost drivers, and capital expenditures — increasing capital efficiency by 19%
• Conducted advanced variance and trend analysis by linking operational drivers with financial performance metrics — improving budget adherence by 15%
• Built dynamic reporting dashboards and automated reporting templates — reducing reporting cycle time by 35% across finance teams
• Partnered with cross-functional teams to develop headcount and capacity planning models aligned with business growth projections — saving 13% in staffing costs
• Enhanced reporting efficiency leveraging advanced Excel and Power Query for data transformation — reducing manual data preparation time by 40%

India · Aug 2016 – May 2019

• Analyzed large volumes of operational and financial data to identify business process inefficiencies — reducing operational costs by 11%
• Developed automated Excel-based financial reporting solutions using VBA, standardizing reporting formats — reducing manual effort by 45% while improving accuracy
• Supported budgeting and forecasting by preparing detailed financial projections and variance reports — contributing to a 17% improvement in planning accuracy
• Consolidated financial data from SAP and NetSuite, improving data integrity — reducing reconciliation discrepancies by 20%
• Assisted in audit readiness by strengthening internal controls and supporting compliance with IFRS and GAAS standards — zero major audit observations

Fraud Detection Analytics Capstone — Built Python/Scikit-learn pipeline achieving 93% precision on a 50,000-row banking dataset; COSO-aligned Power BI compliance dashboard with executive audit report (Pace University, 2025)

Goldman Sachs Controllers Simulation — R2R financial control governance, NAV oversight, intercompany reconciliation, and SEC regulatory reporting with management-level risk summaries

JPMorgan Quantitative Research Simulation — Python-based cash flow projection, financial scenario modeling, and Tableau/Power BI dashboard development translating complex datasets into strategic insights

EY AI & Data Challenge — Water Quality ML Pipeline — Snowflake ML pipeline (XGBoost/LightGBM/CatBoost + Optuna TPE, SHAP explainability, GroupKFold CV) targeting South African river water quality prediction — Lead Hydro-Informatics Strategist (2026)

• 🎯 FP&A Manager / Finance Business Partner roles in NYC Metro & Remote US
• 📚 Active CPA Candidate (FAR track)
• 🤖 Building AI-powered finance tools at the intersection of LLMs + financial analytics
• 🔭 Quantitative research on Nasdaq-100 and Nifty 500 market structures

Beta Alpha Psi (BAP) · Lubin Graduate Council · Accounting Analytics & CPA Club — Facilitator · Pace Mosaic Group · Ascend Club (Pan-Asian Leaders) · PISA & SASA

Open to FP&A Manager, Finance Business Partner, Strategic Finance, and Financial Analyst roles — NYC Metro & Remote US
F-1 STEM OPT Authorized through December 2029 · No sponsorship required