$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.
Finance · Analytics · Business Impact
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
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
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.
$4M
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.
$215Kper month
Maintained rigorous financial recordkeeping and reconciliation practices, contributing to a reported $215,000 reduction in monthly write-offs.
~$20Mmonthly
Owned the end-to-end settlement lifecycle for an approximately $20 million monthly Mastercard portfolio at Fiserv / First Data Corporation.
15%
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
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
Methods
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
Analyze the available information, investigate discrepancies, and validate the underlying numbers.
Focus on financial accuracy, reliable reporting, operational efficiency, and meaningful results.
Work across teams to resolve issues, document workflows, and improve operational consistency.
05 — Skills
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
06 — Experience
2017 – 2021 · Omaha, Nebraska
Fiserv / First Data Corporation
2022 – Present
Dedicated time to personal priorities while strengthening analytical, business, and technical capabilities through structured professional development.
07 — Education
Minor in Mathematics
University of Nebraska at Omaha
Professional development courses
08 — Contact
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.