Headline

Data & Risk Analyst · Fraud Detection · Python | SQL | Power BI · 40% Fraud Loss Reduction · Open to Data Roles

About

I don't just work with data — I turn it into decisions that protect revenue, accelerate growth, and create clarity where there was once noise. With a background spanning purchasing analytics, risk mitigation, and technical operations, I've built a career at the intersection of data science and business strategy. My work isn't confined to dashboards and spreadsheets — it lives in the outcomes: the $1.2M in losses prevented, the 95% customer satisfaction score maintained, the procurement strategies that give businesses a competitive edge in fast-moving markets. Currently, I serve as a Purchasing Analyst at Finexparts, where I focus on optimizing vehicle procurement and bidding strategies for the US market. Every day, I'm asking the same core question: what does the data tell us, and how do we act on it faster and smarter than the competition? To answer that, I leverage Python, SQL, Power BI, and custom-built analytical models to surface insights that directly influence sourcing decisions and reduce financial exposure. One of my most significant contributions has been the development of a custom risk scoring model — a tool that proactively flags high-risk procurement scenarios before they become costly mistakes. That model alone has been attributed to preventing over $1.2M in potential losses. It's the kind of work I find most rewarding: building something from raw logic and data that has a real, measurable impact on the bottom line. Before Finexparts, I led technical teams at Amazon, where I balanced the demands of operational performance with the human side of leadership. Driving customer satisfaction to 95% wasn't just a metric — it was the result of smarter workflows, better data visibility, and a team that understood how to use both. That experience sharpened my ability to translate complex technical insights into language that resonates with stakeholders at every level, from engineers to executives. My technical toolkit includes: • Python — for automation, data wrangling, and building analytical models • SQL / MySQL — for querying and managing large relational datasets • Power BI — for interactive dashboards and executive-level reporting • Excel — for rapid analysis, financial modeling, and scenario planning • Data Visualization — for communicating insights that actually drive action But beyond the tools, what I bring is a mindset. I approach every dataset as a problem waiting to be solved and every insight as an opportunity to make the business stronger.

Location

Patna

Work experience

Data Support Specialist at ADHIA Outsourcing Pvt. Ltd., Jan 2026 - Mar 2026 · 3 mos, United States, -"Monitored real-time price fluctuations for 20+ scrap metal categories, adjusting bidding thresholds that improved profit margins by $450 per unit." -"Automated the tracking of auto part price indices, reducing manual data entry by 10 hours per week and ensuring 100% up-to-date market pricing." -"Identified and closed 5 key supplier gaps, reducing procurement lead times by 20% and cutting logistics costs by $15k annually."

Associate Analyst at Netscribes, Jul 2024 - Mar 2025 · 9 mos, Kolkata, West Bengal, India, – Prevented $1.2M in potential fraudulent transactions by architecting a custom ML-based risk scoring model, achieving a 30% reduction in financial losses. – Deployed a production fraud detection system intercepting 500+ high-risk transactions per month, resulting in a 40% reduction in fraud losses. – Designed and led implementation of a new risk assessment framework, improving risk identification accuracy by 25% and reducing false positives by 15%. – Achieved 100% pass rate across regulatory compliance audits by establishing robust controls, reducing compliance-related fines by 25%.

Trainee at FunctionUp, Dec 2022 - Mar 2023 · 4 mos, Bengaluru, Karnataka, India, – Built ML classification and prediction models (Scikit-learn, TensorFlow); led data preprocessing and feature engineering to improve model accuracy across real-world datasets. – Conducted EDA on NIFTY50, Infosys, Superstore, and ICT T20 datasets; created Power BI dashboards and Python visualizations to surface actionable business intelligence. – Designed and deployed responsive web applications resulting in a 24% increase in user satisfaction scores.

Web Developer at The Sparks Foundation, Sep 2021 - Oct 2021 · 2 mos, India, -Successfully designed and implemented virtual web development projects, enhancing user experience and engagement -Developed interactive and responsive virtual web applications, leading to an 24% increase in user satisfaction

Artificial Intelligence Intern at Internship Studio, Jul 2021 - Aug 2021 · 2 mos, Remote, Built machine learning models to solve real-world classification and prediction problems using Python libraries such as Scikit-learn and TensorFlow. Led data preprocessing and feature engineering efforts to enhance model accuracy and performance. Drove exploratory data analysis (EDA) to uncover patterns and insights from large datasets, contributing to model design decisions. Learnt and applied concepts of neural networks, NLP, and deep learning to support AI-driven project development.

Education

Bachelor of Technology - BTech, Computer Science, Adamas University

Senior secondary, Science, Thakur Prasad Singh (T.P.S.) College, Patna