My Journey..
Fintech Analyst & AI Product Builder | Credit Risk • Financial Analytics • AI-Driven Decision Systems
I’m Brijesh Soni, a Fintech Analyst and AI Product Builder helping lenders, fintech companies, and data-driven teams make confident financial decisions using analytics, risk intelligence, and AI-powered data solutions.
With a background in financial analysis, credit risk assessment, fraud detection, and machine learning data operations, I specialize in building systems that are accurate, scalable, and business-ready.
My Journey: From Data Accuracy to Financial Intelligence
My professional journey is rooted in a strong analytical foundation and a long-standing interest in how data, finance, and technology intersect to solve real business problems.
I began my academic path with a Bachelor’s degree in Mathematics, where I developed a structured approach to problem-solving, numerical analysis, and logical thinking—skills that continue to shape my work in fintech and analytics.
Early Career: Fraud Detection & Data Quality
My career started in document verification and identity fraud prevention, working extensively with government-issued documents. These roles demanded precision, compliance, and an uncompromising focus on accuracy. This phase gave me first-hand exposure to operational risk, data integrity, and trust-based systems.
I later transitioned into machine learning data tagging, where I worked with large datasets used to train AI models. This experience helped me understand how data quality directly impacts model performance, decision reliability, and scalability.
Transition into Financial Analytics & Credit Risk
Over time, my focus shifted toward financial analytics and lending intelligence. I moved into roles involving financial statement analysis, bank data evaluation, and business performance assessment to support credit and funding decisions.
This transition allowed me to combine my data background with financial insight—working on creditworthiness evaluation, cash flow analysis, risk profiling, and performance forecasting for lending use cases.
Current Work: Fintech, MCA & AI-Driven Lending
Today, I work as a Financial Analyst and MCA Domain Expert, supporting merchant funding and lending decisions through data-driven methodologies. I analyse business financial health, revenue stability, and risk indicators to help improve approval accuracy and decision consistency.
I collaborate with cross-functional teams and contribute to AI-enabled financial tools designed to make lending smarter, faster, and more transparent.
What I Do
▪️ Credit & Financial Statement Analysis
Evaluating business financial health, cash flows, and risk indicators.
▪️Risk Modeling & Performance Forecasting
Supporting data-backed lending and funding decisions.
▪️Financial Dashboards & Reporting
Creating clear, actionable insights using Excel, Power BI, and analytics tools.
▪️AI-Powered Financial Solutions
Contributing to intelligent systems for credit decisioning and risk assessment.
Tools & Expertise
▪️Financial Analysis & Structured Finance
▪️Credit Risk & Lending Analytics
▪️Excel, Power BI, Data Visualisation
▪️Machine Learning Data Operations
Experiments
Work Pipeline

Senior Operations Executive at Jumio Corporation
Feb-2020 - Nov 2024
At Jumio Corporation, I worked in identity verification and fraud prevention, focusing on detecting unauthorised alterations in government-issued identity documents. My role directly supported secure onboarding, compliance, and fraud-risk reduction for global digital platforms.
👨💻What I Worked On
▪️Analysed passports, driver’s licenses, and national identity cards to detect fraudulent or unauthorised modifications.
▪️Validated document authenticity and legitimacy by identifying inconsistencies, tampering patterns, and risk indicators.
▪️Supported fraud prevention workflows aimed at reducing identity-based financial and compliance risks.
👨💻Machine Learning Data Annotation Project
▪️As part of a 6-month Machine Learning Annotation Project, I worked on classifying and tagging large volumes of government-issued documents to support AI model training.
▪️Annoted and structured datasets used for fraud detection models
▪️Helped improve model reliability and decision accuracy
▪️Contributed to a system that achieved ~99% accuracy in identifying potential fraud patterns
👨💻Impact & Value
▪️Strengthened identity verification processes through high-accuracy fraud detection
▪️Improved data quality for AI-driven identity validation systems
▪️Supported scalable, technology-driven fraud prevention solutions
Skills & Expertise
My language expertise
My technical expertise includes Python for data analysis, feature engineering, and automation; SQL for complex data querying, transformation, and analytics workflows; and HTML for building structured, data-driven web interfaces and dashboards.
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Projects

GOTPM (Game of Thornes Personality Matcher) with Deep Learning
Here is a Deep Learning Model for the GOT Game of Thornes Personality Matcher. TSNE was used in this model. TSNE is an algorithm for Deep Learning.
Car's PowerBI Dashboard
Using PowerBI, this is the dashboard for a Car's. Many car brands are available on this platform, including Suzuki, Volvo, Mahindra, etc. It is possible to analyze every fact about the car, such as its speed, fuel capacity, setting capacity, etc.

Blog's
When data meets intelligence finance becomes faster, smarter, and fairer.
Education

Graduated from the Mohanlal Sukhadiya University in 2016-2019
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Bachelor of Science Mathematics degree
As a result, I graduated with a Bachelor of Science degree with a 7.9 CGPA.






