Meenakshi E

Data Analyst | Data Governance

A seasoned Data Analyst with 5+ years of dedicated experience, backed by over 14 years in the IT industry. Proven ability to deliver actionable results.

about

As a Lead Data Analyst, I transform raw data into compelling business narratives through cross-functional team leadership. Using Python, SQL, Power BI, I deliver solutions that enhance operational efficiency and bottom-line results, while prioritizing human impact in every decision.

My key achievement was modernizing 50+ years of legacy financial data benefitting millions of families and developing robust reconciliation processes. Working with the Accountant-General's office, Treasury departments, and 18 banks, I led a nationally recognized project that revolutionized financial reporting accuracy.

I drove organizational change by leading dynamic teams of analysts across 30+ departments. My approach combines technical precision with clear communication, breaking down data silos and creating unified information systems that deliver tangible business outcomes.

I excel at uncovering hidden patterns in data and provide actionable insights and value to the stakeholders. My extensive background in sectors such as drug supply chain logistics, financial treasury operations, and e-governance combined with my newly acquired skills in machine learning and explainable AI, positions me well to transfer and apply my expertise to new domains and work areas.

experience

  • Sep 2020 - May 2022

    Functional Lead, CeG, Govt. of Karnataka

    Served as Functional Lead at Center for E-Governance, orchestrating data management initiatives across 30+ departments through the use of unique FamilyID for the beneficiaries of Pension, Health, Education etc. Oversaw end-to-end data lifecycle including acquisition, cleansing, and analysis while facilitating collaboration between technical teams and departmental stakeholders.

    • Power BI
    • Microsoft SQL Server
    • MS Excel
  • Feb 2016 - Jul 2020

    Data Analyst, Dept. of Treasuries, Govt. of Karnataka

    Spearheaded 50+ years of legacy data migration initiatives for Khajane-II as Data Analyst, coordinating with key stakeholders including Auditor General, 18 Banking institutions, and Treasury Departments. Implemented comprehensive reconciliation processes across IFMS modules encompassing payments, receipts, disbursals, and pension management.

    • SQL
    • DB2
    • MS Excel
  • Jun 2003 - Sep 2015

    IT Project Manager, KSMSCL (Formerly KDLWS)

    Led data management and analytics operations through the Drug Distribution Management System (DDMS) deployed for efficient procurement and supply chain of drugs across 27 warehouses throughout the state of Karnataka.

    • C#
    • Oracle 9i
    • Crystal Reports

academics

  • Jul 2022 - Nov 2024

    M.Sc. in Data Science

    Liverpool John Moores University, UK

  • Jul 2022 - Aug 2023

    Executive P.G. Program in Data Science

    III-T Bangalore

  • Jun 2000 - May 2003

    Master of Computer Application (MCA)

    Madurai Kamaraj University

projects

  • Sep 2023 - Jul 2024

    Credit Scoring System using Explainable AI

    Developed an interpretable credit scoring system that enhances transparency in lending decisions by providing customized explanations for different stakeholders. The system offers credit seekers guidance on improving applications through counterfactual examples, while giving lenders and regulators insights via aggregated risk analysis. Research demonstrated that similar model accuracy doesn't guarantee consistent risk predictions, emphasizing the importance of interpretability in financial systems.

    • Python
    • SQL
    • XAI: SHAP
    • XAI: CounterFactuals
    • ML: XGBoost
    • ML: LSTM
  • May 2023 - Aug 2023

    Stock Portfolio Management System

    Engineered a stock portfolio management system that leverages market trend analysis and performance metrics to deliver personalized investment recommendations aligned with individual risk profiles and financial objectives. Integrated advanced statistical modeling to forecast future asset values through data analysis and visualizations.

    • Python
    • EDA
    • SQL
    • MS Excel
    • MatPlotLib