Pankaj Kumar Yadav

Product Manager

New Delhi, Delhi, India2 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in credit risk analysis and lending strategies.
Strong background in data science and machine learning.
Proficient in predictive modeling and data quality management.

Stackforce AI infers this person is a Fintech professional specializing in data-driven credit risk analysis and machine learning.

Contact

Skills

Core Skills

Credit Risk AnalysisRisk Modeling & Predictive AnalyticsData AnalysisData Quality Management

Other Skills

A/B TestingAmazon AthenaAmazon Web Services (AWS)Analytical SkillsApache SparkBig DataBusiness AnalysisBusiness Intelligence (BI)CommunicationCross-functional PartnershipsDashboardData AccuracyData AnalyticsData CollectionData Completeness

About

I am a Product Analyst at FinBox, where I work at the intersection of data science, machine learning, and fintech innovation. I support our clients in lending and borrower evaluation, helping them make smarter credit decisions with data-backed insights. My work focuses on credit risk analysis, where I design and implement policies that improve approval rates while reducing default risks. I also conduct proofs of concept (POCs) for new client onboarding, ensuring seamless integration with the FinBox platform, and perform rigorous data sanity and quality checks to maintain accuracy and compliance. By leveraging predictive modeling, feature engineering, and portfolio monitoring, I help clients optimize their lending strategies, strengthen risk frameworks, and build trust with their end users. Currently pursuing an M.Sc. in Computer Science (AI & ML) at Woolf, I am advancing my expertise in risk modeling, fraud detection, and financial data science. I am passionate about applying structured thinking and emerging technologies to solve real-world financial challenges and contribute to FinBox’s mission of leveraging data for social and economic impact.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Finbox

3 roles

Product Analyst

Promoted

Jul 2024 – Present · 1 yr 11 mos · On-site

I am a Product Analyst at FinBox, where I work at the intersection of data science, machine learning, and fintech innovation. I support our clients in lending and borrower evaluation, helping them make smarter credit decisions with data-backed insights. My work focuses on credit risk analysis, where I design and implement policies that improve approval rates while reducing default risks.
I also conduct proofs of concept (POCs) for new client onboarding, ensuring seamless integration with the FinBox platform, and perform rigorous data sanity and quality checks to maintain accuracy and compliance. By leveraging predictive modeling, feature engineering, and portfolio monitoring, I help clients optimize their lending strategies, strengthen risk frameworks, and build trust with their end users.

Credit Risk AnalysisLending & Borrower EvaluationRisk Modeling & Predictive AnalyticsPolicy Design & Risk StrategyData Quality & Sanity ChecksPredictive Modeling+1

Data Analyst

Jul 2023 – Jun 2024 · 11 mos · On-site

As a Data Analyst at FinBox, I ensured data accuracy, completeness, and consistency across multiple platforms. I utilized Python, SQL, and Excel to automate validation processes, enhancing data reliability. My efforts contributed to informed decision-making, supporting FinBox's mission to leverage data for impactful solutions.

PythonSQLExcelData AccuracyData CompletenessData Consistency+2

Data Quality Intern

Apr 2023 – Jun 2023 · 2 mos · On-site

Almabetter

3 roles

Subject Matter Expert in Data Science Program

Dec 2022 – Jul 2023 · 7 mos

Data Science Intern

Nov 2022 – Apr 2023 · 5 mos

Data Science Trainee

May 2022 – Oct 2022 · 5 mos

Deeplearning.ai

Machine Learning

Jul 2022 – Oct 2022 · 3 mos · Remote

Ibm

Data Analyst

Apr 2022 – Sep 2022 · 5 mos · Remote

I recently completed the IBM Data Analyst Professional Certificate program, which involved completing 9 courses covering a wide range of topics in data analytics. Through this program, I gained hands-on experience working with a variety of data sources and analysis tools, including Excel, SQL, Relational Databases, Python, Jupyter Notebooks, and Cognos Analytics.
During the program, I honed my skills in data manipulation, analysis, and visualization, and learned how to apply different analytical techniques to real-world datasets. Through a capstone project, I was able to demonstrate my proficiency by creating visualizations, interactive dashboards, and presenting reports to share findings of data analysis.
As an IBM certified data analyst, I am now equipped with the skills necessary to succeed in an entry-level role in data analytics. I am excited to use my expertise to help organizations make data-driven decisions and deliver meaningful insights that drive business growth.

Data ManipulationData AnalysisData Visualization