Papu Singh deo — Data Scientist

Hey there, I’m Papu! 👋 I specialize in turning complex data into clear, actionable insights—especially in the world of fraud risk and financial analytics. With 4.5+ years of hands-on experience in transaction monitoring and risk analysis, I’ve worked extensively on large-scale datasets (500K+ records/month), identifying fraud patterns, optimizing detection systems, and improving decision-making through data. 🔍 Ever feel like your data is noisy but not useful? That’s where I step in—bringing structure, clarity, and business impact. Here’s what I bring to the table: 🔸 SQL: Advanced querying (CTEs, window functions, optimization) to extract deep insights from large datasets 🔸 Python: Data analysis, automation, and machine learning (pandas, NumPy, scikit-learn) 🔸 Power BI: Building dynamic dashboards to track KPIs, fraud trends, and business performance 🔸 Excel: Advanced analytics, reporting, and quick decision support Core strengths: 🔸 Problem-Solving: Strong ability to identify issues and implement data-driven solutions with real business impact 🔸 Critical Thinking: Analyzing patterns, connecting insights, and supporting informed decision-making 🔸 Stakeholder Management: Collaborating with cross-functional teams to align data insights with business goals 🔸 Communication & Presentation: Translating complex data into clear, actionable narratives for stakeholders Beyond tools, I focus on delivering real impact: 🔸 Fraud Analytics: Reduced false positives by 18–22% through rule optimization 🔸 Risk Investigation: Analyzed high-risk transactions (ATO, AML, chargebacks) with 100% compliance standards 🔸 Process Improvement: Reduced turnaround time by 18% using data-driven workflow enhancements 🔸 Data Storytelling: Translating complex findings into clear insights for stakeholders I’ve also built end-to-end data projects involving: 🔸 Customer behavior & revenue analysis 🔸 Credit risk modeling & segmentation 🔸 Churn prediction & retention analytics 🔸 A/B testing & campaign optimization 🔸 Time-series forecasting What drives me: 🔸 Solving real business problems using data 🔸 Thinking critically and spotting patterns others miss 🔸 Continuous learning and pushing analytical boundaries 🔸 Communicating insights in a simple, impactful way I’m currently focused on growing into high-impact Data Analyst roles where I can combine analytics, business understanding, and problem-solving to drive measurable outcomes. 🚀 If you're looking for someone who doesn’t just analyze data but actually improves decisions—let’s connect.

Stackforce AI infers this person is a Fintech professional specializing in fraud analytics and data-driven decision-making.

Experience: 4 yrs 6 mos