Muskan Tailor
@muskantailor
I build SQL, Python, and AI analytics workflows that uncover fraud, automate audits, and improve business decisions.
What I'm looking for
At Delhivery, I build audit intelligence and analytics for large-scale logistics operations. My fraud detection and anomaly monitoring system identified and recovered over $14,500 in invalid zero-liability claims across 307 validated fraud cases.
I engineered a Continuous Control Monitoring dashboard for real-time fraud signals and daily risk scoring, and deployed Gemini Enterprise and Python workflows to extract structured data from invoice images at scale. I also use Google Maps API and Python automation to detect geospatial anomalies and compile vendor contract data across procurement datasets.
Previously at RoboMQ, I built SQL product analytics pipelines that reduced manual reporting by 30% and Power BI dashboards for enterprise user funnels and feature adoption. My marketing analytics and audience segmentation work contributed to a 14% improvement in campaign ROI.
I'm focused on turning complex operational, product, and customer data into practical decisions through SQL, Python, statistical analysis, BI dashboards, and AI-powered automation.
Experience
Work history, roles, and key accomplishments
Data Analyst – Audit Intelligence & Analytics
Delhivery Ltd.
Sep 2025 - Present (1 year)
Built fraud detection and anomaly monitoring systems, recovering over $14,500 in invalid claims and flagging 307 validated fraud cases. Deployed agentic AI pipelines using Gemini Enterprise and Python for automated document intelligence, eliminating manual review processes.
Data Analytics Trainee
MedTourEasy
May 2025 - May 2025 (0 months)
Built an ML pipeline using TPOT AutoML and Scikit-learn achieving 82% accuracy in donor conversion prediction. Performed statistical analysis on marketing campaign data, improving engagement by 18% through data-driven targeting.
Associate Software Developer (Analytics Focus)
RoboMQ
Jul 2023 - Oct 2024 (1 year 3 months)
Engineered SQL-based product analytics pipelines reducing manual reporting effort by 30% and built Power BI dashboards for user funnel tracking. Supported marketing analytics with lead funnel modelling, contributing to a 14% improvement in campaign ROI.
Education
Degrees, certifications, and relevant coursework
Swami Keshvanand Institute of Technology
Bachelor of Technology, Computer Science
Grade: 9.00/10.00
B.Tech (Hons) in Computer Science with a GPA of 9.00/10.00, including coursework in data modelling, probability and statistics, business intelligence, machine learning, and algorithms.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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