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Finance · Analytics · Business Impact

Turning complex financial data into clear business results.

I'm Amrit Sharma, a finance and data analytics professional with experience in fintech operations, settlement accounting, reconciliation, and process optimization. I bring together financial expertise and analytical tools to solve complex problems, improve operational accuracy, and support better business decisions.

01 — About

Finance domain knowledge, backed by a quantitative foundation.

My career has centered on understanding complex financial operations: finding discrepancies, improving processes, and making sure the numbers are right. At Fiserv / First Data Corporation, I worked across Mastercard settlement operations, financial reconciliation, and month-end close, contributing to measurable improvements in financial accuracy and operational performance.

With a degree in Computer Science and a minor in Mathematics, I bring an analytical mindset and working familiarity with Python, SQL, Tableau, Power BI, and other data tools. Recent professional development in SQL, Power BI, AWS, and project management has deepened my interest in business intelligence and process improvement.

I'm looking for roles where financial knowledge, analytical thinking, and technology come together to solve real business problems.

02 — Business Impact

Results that matter.

Outcomes from my time at Fiserv / First Data Corporation (2017–2021). These are separate results, several achieved as part of a broader team effort, and they should not be read as a single project.

A · Financial Recovery

$4M

Resolving complex financial discrepancies

Contributed to the successful settlement of $4 million in previously untraceable funds through month-end close activities, journal entries, balance sheet reconciliations, and variance analysis.

B · Reduced Write-Offs

$215Kper month

Improving financial accuracy

Maintained rigorous financial recordkeeping and reconciliation practices, contributing to a reported $215,000 reduction in monthly write-offs.

C · Settlement Operations

~$20Mmonthly

Managing high-value payment operations

Owned the end-to-end settlement lifecycle for an approximately $20 million monthly Mastercard portfolio at Fiserv / First Data Corporation.

D · Operational Efficiency

15%

Driving process improvement

A reported 15% improvement in operational efficiency during my tenure as Senior Settlement Analyst.

100% timely resolution of discrepancies across the daily and monthly reconciliations I supervised for multiple Mastercard products.

03 — Selected Professional Experience

How I approach business problems.

Three examples from my work at Fiserv / First Data Corporation. These describe professional responsibilities, not independent projects.

Business context

Funds that could not be traced through normal settlement channels, requiring complex reconciliation to resolve.

My approach

  • Reviewed financial records and supporting reports
  • Performed balance sheet reconciliation and variance analysis
  • Supported journal entries and month-end close activities
  • Investigated discrepancies and supported the settlement process

Methods

Balance sheet reconciliationVariance analysisJournal entriesMonth-end close

Outcome

Contributed to the successful settlement of $4 million in previously untraceable funds.

Business significance

Shows financial analysis, attention to detail, persistence in problem-solving, and hands-on reconciliation experience.

04 — How I Work

A practical approach to solving problems.

Investigate before concluding

Analyze the available information, investigate discrepancies, and validate the underlying numbers.

Connect analysis to business outcomes

Focus on financial accuracy, reliable reporting, operational efficiency, and meaningful results.

Collaborate to improve processes

Work across teams to resolve issues, document workflows, and improve operational consistency.

05 — Skills

Technical skills and capabilities.

Financial operations skills come from four years of professional practice. Technical tools come from my Computer Science education and ongoing professional development.

Applied professionally · Fiserv / First Data

Settlement lifecycleReconciliationMonth-end closeJournal entriesVariance analysisInternal controlsAudit supportCross-functional collaborationTraining & mentoring

Data Analysis & Programming

PythonSQLPandasNumPyMatplotlibSeabornJupyter Notebook

Business Intelligence & Visualization

TableauPower BIDAX, formulas & calculations

Financial Operations & Productivity

Microsoft ExcelMicrosoft AccessDatawatch Monarch

Cloud & Technical Tools

AWSGitHub

06 — Experience

Professional experience.

  1. 2017 – 2021 · Omaha, Nebraska

    Senior Settlement Analyst

    Fiserv / First Data Corporation

    • Owned the end-to-end settlement lifecycle for an approximately $20 million monthly Mastercard portfolio.
    • Supervised daily and monthly reconciliations across multiple Mastercard products.
    • Supported timely resolution of discrepancies through systematic analysis of reports and financial data.
    • Managed month-end close activities, journal entries, balance sheet reconciliations, and variance analysis.
    • Contributed to settlement of $4 million in previously untraceable funds.
    • Contributed to a $215,000 reduction in monthly write-offs.
    • Collaborated across Accounting, Operations, Product, Client Services, and external partners.
    • Supported internal and external audits with comprehensive documentation.
    • Trained and mentored junior team members on settlement processing and financial reporting best practices.
  2. 2022 – Present

    Professional Development & Career Transition

    Dedicated time to personal priorities while strengthening analytical, business, and technical capabilities through structured professional development.

    SQL for Data AnalysisSQL Tips and Tricks for Data ScienceAdvanced Power BI, including DAXAWS Cloud Technical EssentialsArchitecting Solutions on AWSProject ManagementAI tools for research, analysis, and workflow efficiency

07 — Education

Quantitative and technical foundation.

Bachelor of Science in Computer Science

Minor in Mathematics

University of Nebraska at Omaha

Professional development courses

  • Advanced Power BI: DAX Language, Formulas, and CalculationsLinkedIn
  • SQL for Data AnalysisLinkedIn
  • SQL Tips and Tricks for Data ScienceLinkedIn
  • Project ManagementCoursera
  • AWS Cloud Technical EssentialsCoursera
  • Architecting Solutions on AWSCoursera

08 — Contact

Let's turn data into better decisions.

I'm interested in opportunities where financial operations, data analytics, business intelligence, and process improvement intersect. If you're looking for someone who combines financial domain knowledge with analytical problem-solving, I'd welcome a conversation.

Email me