Muhammed Rishal

About Muhammed Rishal

I turn messy, complex data into clear business decisions.With 11+ months of hands-on experience across business analysis and data science, I\'ve worked on real-world problems in fintech, fraud detection, and customer analytics. My journey started with a curiosity for numbers and evolved into building machine learning models that predict intern attrition, detect customer churn, and generate qualified leads using AI.What I bring to the table:→ Predictive Modeling: Built classification models (Random Forest, XGBoost, Logistic Regression) for attrition and churn prediction with 85%+ accuracy→ Business Intelligence: Designed Power BI dashboards and Excel reports that simplified decision-making for cross-functional teams→ Data Engineering: Cleaned, transformed, and analyzed datasets of records using Python (Pandas, NumPy, Scikit-learn) and SQL→ Domain Expertise: Fintech payment systems, fraud detection, KYC workflows, ACH/check processing analytics→ Collaboration: Worked closely with product, marketing, and development teams to translate data insights into actionI\'m actively seeking Data Analyst, Data Scientist, and Business Analyst roles where I can apply my analytical skills to drive measurable impact. If you\'re looking for someone who combines technical depth with business understanding, let\'s connect. Open to opportunities | Happy to connect

Experience

1. Business Analyst

   Zil Money

   Aug 2025 — Present · Kerala, IN

   Driving data-driven decision-making for a fintech platform offering ACH, checks, wire transfers, and payroll payment solutions.→ Analyzed payment transaction data across ACH, wire, and check systems to identify processing bottlenecks, contributing to reduced average resolution time→ Built Power BI dashboards tracking KYC completion rates, fraud detection metrics, and user engagement, enabling the product team to prioritize high-risk accounts→ Created comprehensive Confluence documentation for 10+ product features, bridging the gap between development and business stakeholders→ Performed gap analysis on event tracking implementations, identifying 20+ missing data points critical for marketing attribution and analytics accuracy→ Collaborated with product, marketing, and development teams to translate complex technical requirements into actionable Jira tickets and documentation→ Analyzed MoEngage retention dashboards and user engagement metrics (bounce rates, stickiness, weekly retention) to recommend targeted improvement strategies→ Supported fraud detection analysis using Sift score data and transaction pattern monitoring across the payment ecosystemSkills: Power BI, SQL, Python, Excel, MoEngage, Confluence, Jira, Data Analysis, Business Intelligence, Stakeholder Communication

Education

• APJ Abdul Kalam Technological University (KTU), Thiruvananthapuram

  Master of Computer Applications - MCA, Computer Applications

• FAROOK COLLEGE, KOZHIKKODE

  Bachelor's degree, Computer Science

  2018 — 2021