Washington, District of Columbia, United States
I have more than 7 years of experience in FinTech. The tools I use are SQL, Python, UNIX, and EXCEL. I like to use my technical and analytical skills to solve product and financial problems. I have my B.S in Finance, Applied Math. Also, I have my M.S in Applied Math. My Skills: Developed financial plans, budgets, and strategies for businesses. Utilize SQL, Python, Unix, and Excel to automate reports for clients. Experience with extracting data using SQL and evaluating it to verify accuracy and completeness of report data prior to delivering it to clients. Extensive knowledge with creating pivot tables, bell curves, Box plot, stem and leaf plot, and calculating standard deviation using Python’s libraries such as Pandas, NumPy,stemgraphic, and matplotlib. Extensive knowledge with using advanced Microsoft Excel formulas such as pivot tables, VLOOKUP to analyze and interpret large quantities of data. Experience with training new hires on how to use technical tools such as Unix, SQL, Excel, and Python. Proficient with writing reports in MobaXterm using Unix commands. Proficient with using SQL to join tables using left, right, inner, or full joint. Clear any discrepancies between the portfolio's returns between State Street and the BlackRock Aladdin platform. Set up a detective system in SQL using JOIN statements and WITH clause to optimize the troubleshoot between portfolios returns amid State Street and BlackRock Aladdin platform.
AI‑Powered Product Insights & Data Product Ownership · Built AI‑enabled data tools, dashboards, and prototypes that improved insight accessibility, leveraging Generative AI to create rapid mockups, user flows, and conceptual demos before engineering implementation. · Designed and deployed custom AI agents using M365 Copilot Agent Builder, enabling stakeholders to self‑serve data explanations, automate reporting, and interact directly with insights through natural‑language interfaces. · Introduced frameworks for AI‑generated summaries, anomaly detection, and automated insight surfacing to identify patterns, risks, and opportunities before they appeared in formal reports. Metrics Frameworks, Product Analytics & BI Strategy · Partnered with senior leaders to define unified product & operational metric frameworks including activation, engagement, retention, churn, operational efficiency, and forecasting KPIs. · Embedded analytics practices (funnel analysis, segmentation, cohorting, churn prediction) directly into program lifecycles to support product and operational decision‑making. · Created a BI ecosystem with high‑trust dashboards, automated reporting pipelines, forecasting tools, and self‑service access for PMs, analysts, and executives. Data Platform & Governance Leadership · Led the architecture of a full Databricks Lakehouse migration (Bronze → Silver → Gold) for CISA, ensuring scalable modeling, quality checks, lineage, and consistency across domains. · Implemented a unified governance & discovery layer through Unity Catalog, increasing data trust and reducing cross‑team friction. · Prioritized data platform investments balancing immediate reporting needs with long‑term scalability, data quality, and governance requirements. Cross‑Functional Leadership & Stakeholder Management · Worked directly with CIO‑level and senior executives to align data strategy, define insights needs, and ensure data products supported organizational goals. · Led a multi‑disciplinary te
tech team under AML and Other Business, Global Investigation and Compliance (GIC) Practice, FSAC
• Performed a quality check on Fixed Income and Equity green package analytics reports for timely delivery to clients. • Resolved any exceptions for Fixed Income, Equities, and Derivatives green package analytics reports. • Investigated why the Net Asset Value and Duration of a portfolio is not inline and fix the issue before delivering it to the client. • Calculated the market value, duration, and convexity to compare against the database for differences. • Improved the commands for the RETAIL-US process in Unix, so the data is available to retail investors faster. • Onboarded environmental social and corporate governance funds to the RETAIL-US process. • Identified and correct erroneous data before publication to the BlackRock Inc website. • Utilized SQL, Excel, Unix, and Python to answer clients and portfolio manager’s inquiries about market volatility on the fund reports. • Answered any financial ad hoc requests from the clients and the portfolio managers. • Trained the new hires on the 24-hour cycle and teach them how to use SQL, Unix, Excel, and Python.