Fintech  ·  Compliance  ·  Data Science

Turning Data Into
Decisive Action.

Hi, I'm Tridha Mukherjee — an analytical fintech specialist with cross-industry experience spanning banking, e-commerce, and SaaS, seamlessly integrating core banking systems, regulatory compliance, and advanced data science to enable high-impact, data-driven decision-making.

Fiserv & Encore KYC, AML & Fraud Prevention E-Commerce Analytics SQL, Python & ETL Pipelines
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Tridha Mukherjee

Analytical Fintech
Specialist.

With a Post Graduate degree in Data Science from Purdue University and 6+ years of global experience across Banking, E-commerce, and SaaS, I bring a refined blend of domain expertise and technical proficiency to solve complex, business-critical challenges.

My experience encompasses Core Banking Systems such as Fiserv and Encore, alongside deep expertise in Regulatory Compliance, including KYC, AML, BSA, OFAC, Reg E, Reg CC, and GLBA. I specialize in uncovering fraud patterns, identifying transaction anomalies, and mitigating operational risk through advanced data analysis and modeling techniques.

I possess strong command over SQL (MS SQL Server, MySQL), Python (Pandas, Scikit-Learn), and Power BI / Tableau, with a proven ability to design and implement automated ETL pipelines, scalable reporting frameworks, and interactive financial dashboards. My full-stack experience in C# and React enables me to effectively bridge the gap between data engineering, analytics, and product strategy.

0

Years Exp.

Advanced

Analytics & ETL

Banking &

E-Commerce

What I Bring

Technical Arsenal

Fintech & Compliance

Fiserv• Encore• KYC/AML• OFAC• Reg E• GLBA• ACH · Wire

Programming

Python• R• SQL• Java• C#

Data Engineering

ETL Pipelines• Data Modeling• Stored Procedures• Query Opt.

Databases

MS SQL Server• MySQL• Data Warehousing

Data Science

Pandas• NumPy• Scikit-Learn• Matplotlib• Statistics

Visualization

Power BI• Tableau• Excel Power Query

Web Tech

HTML5/CSS3• React• JS ES6• Bootstrap• ASP.NET

Version Control

Git• GitHub• Branching• Merging

QA Testing

Unit Testing• Regression• Cross-Browser• UAT

Career Path

Professional Journey

Central Bank of St. Louis

Universal Banker – Operations & Compliance

Aug 2025 – Present

Current Role

Analyze customer transaction histories (ACH, wire, debit/credit, deposits) to identify discrepancies, unusual activity patterns, and potential fraud indicators using core banking systems (Fiserv, Encore).

• Prepare operational and compliance reports using Excel (PivotTables, Power Query) to track transaction volumes, dispute trends, exception rates, and service metrics.

• Support Reg E dispute investigations by reviewing transaction logs, timestamps, and account activity documentation for resolution workflows.

• Perform KYC verification and assist with AML monitoring in alignment with federal regulatory standards (OFAC, Reg E, Reg CC, GLBA).

• Escalate suspicious activity cases in accordance with internal risk management and fraud prevention protocols.

• Collaborate with compliance and digital banking teams during system updates, assisting with data validation and workflow integrity checks.

• Maintain detailed documentation to ensure audit readiness and adherence to internal control standards.

• Assist with branch-level KPI monitoring: transaction turnaround time, customer activity trends, and operational accuracy metrics.

Stack: Fiserv, Encore, Excel (PivotTables, Power Query), SharePoint CRM, Microsoft Teams.

Changing the Present

Full-Stack Dev & Data Analyst

Nov 2020 – Aug 2025

Maintained e-commerce platform (changingthepresent.org) and built data pipelines, dashboards, and analytics workflows using C#, ASP.NET, MySQL, Python, and Power BI.

• Implemented Python web scraping (BeautifulSoup, Requests) for competitive data extraction and automation.

• Designed and optimized ETL workflows to automate data extraction, transformation, and loading into MySQL databases.

• Created stored procedures, views, and indexing strategies to enhance query performance.

• Built interactive Power BI dashboards for business performance insights and decision-making.

• Utilized Excel and MySQL for data processing, visualization, and BI reporting.

• Performed unit, integration, regression, cross-browser, and UAT testing for software reliability.

• Implemented database backup/recovery procedures ensuring data integrity and business continuity.

Stack: C#, ASP.NET, JavaScript, HTML, CSS, Bootstrap, MySQL, Git, IIS, Python (BeautifulSoup, Pandas, NumPy), ETL, Power BI, Asana.

Agnik

Front-End Dev & DBA

Apr 2019 – Dec 2019

Developed responsive web interfaces for Vyncs (vyncs.com) using HTML5, CSS3, and JavaScript — improving page load speed by 30% and mobile engagement by 22%.

• Collaborated with UI designers and backend developers, reducing integration issues by 40% and speeding up feature delivery by 20%.

• Executed database maintenance tasks including backups, updates, and performance tuning using MySQL.

• Conducted code reviews, debugging, and managed codebase via Git for smooth team collaboration.

• Participated in agile sprints including sprint planning, daily stand-ups, and retrospectives.

• Created and executed functional test scripts; performed unit, regression, cross-browser, and mobility testing.

• Designed user training documentation in Word and PowerPoint for stakeholder enablement.

Stack: HTML5, CSS3, JavaScript, SQL, MySQL, GitHub, Bootstrap, Visual Studio, IIS Manager, Slack.

Academic & Professional

Education & Certifications

Education

Post Graduate Program

Data Science

Purdue University

2021–2022
Machine Learning Data Mining Statistical Analysis

Bachelor of Engineering

Electrical Engineering

Narula Institute of Technology, MAKAUT

2015–2019
Engineering Systems Design

Certifications

Reg E & Reg CC Dispute Resolution

Internal Compliance Training · Central Bank

BSA/AML Compliance Fundamentals & GLBA

Internal Compliance Training · Central Bank

Power BI Desktop for Business Intelligence

Udemy

Python for Data Science & Machine Learning

Udemy · 2021

SQL for Data Analysis

LinkedIn Learning

Copilot for Productivity

Internal Training · Central Bank

Portfolio

Featured Projects

ML · Finance

Stock Prediction Engine

Python · TensorFlow · yfinance · Scikit-Learn

Leveraged historical stock data to predict future prices using machine learning. Utilized the yfinance library for data extraction and Scikit-Learn/TensorFlow for predictive models (Linear Regression) to analyze market trends.

View Code
Stock Market
Amazon Scraper
Automation · Scraping

Amazon Price Tracker

Python · BeautifulSoup · SMTP · Requests

Automated web scraping tool that monitors product prices on Amazon. Checks prices at periodic intervals and triggers email notifications via SMTP when prices drop below a user-defined threshold.

View Code
SQL · Data Mining

COVID-19 Global Analysis

SQL Server · Data Mining · Reporting

Analyzed global COVID-19 datasets (cases, deaths, vaccinations) using complex SQL queries. Extracted critical insights on infection rates and vaccination progress to support data-driven health reporting.

View Code
Covid SQL

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