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taufiq haiderTH
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taufiq haider

@taufiqhaider

Business Data Analyst turning complex data into predictive models and executive-ready dashboards.

Pakistan
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What I'm looking for

I’m looking to build automated, decision-ready analytics—using SQL, Power BI, and predictive modeling—to help teams detect risk or improve conversion through rigorous experiments and clear executive dashboards.

I’m a Business Data Analyst focused on fraud and web analytics, translating messy, high-volume data into clear decision support. I build predictive models, run controlled experiments, and automate reporting so stakeholders can act faster with confidence.

At i2c Inc, I delivered the company’s first comprehensive fraud exposure assessment by categorizing 11,672 dispute cases and identifying primary loss drivers. I built a predictive chargeback scoring model that recovered $250,000 in year one and improved case resolution rates by 40%.

I also helped modernize fraud detection by replacing a legacy ACH fraud predictive system with an ML model, reducing targeted fraud losses by 93% to under $10,000 per month while decreasing customer friction by 16%. In parallel, I developed authorization rules that reduced fraudulent transactions by over 30% across ATM, mobile, and POS channels, and authored a PRD for a consolidated fraud analytics platform projected to cut investigation time by over 50%.

More recently as an independent Business Analytics Consultant, I built live Power BI dashboards for an e-commerce client—tracking funnel, session-to-purchase conversion, AOV, CLV, and cohort retention—reducing mean time to detection to under 4 hours. I engineered end-to-end data pipelines to improve repeated purchase rate by 9% and supported product decisions with rigorous analysis of funnel drop-offs.

Experience

Work history, roles, and key accomplishments

IN

Business Analytics Consultant

Independent

Oct 2023 - Feb 2026 (2 years 4 months)

Built Power BI web analytics and real-time monitoring dashboards for an e-commerce client to track conversion performance and reduce delayed anomaly detection. Engineered end-to-end data pipelines and funnel/drop-off analysis that improved repeat purchase rate and increased completed purchases after guest checkout changes.

II

Business Data Analyst

I2c Inc

Nov 2020 - Sep 2023 (2 years 10 months)

Categorized 11,672 dispute cases into a fraud classification framework and built a predictive chargeback scoring model to prioritize high-return cases. Replaced legacy systems to reduce targeted fraud losses and false declines, automated Power BI reporting, and supported fraud analytics with ETL pipelines, dashboards, and rule templates.

World Bank logoWB

Research Assistant

World Bank

Jan 2019 - Present (7 years 7 months)

Led data collection across 20+ stakeholder interviews and designed a public-private partnership model. Produced projections indicating a 200% increase in accommodation capacity.

Education

Degrees, certifications, and relevant coursework

Lahore University of Management Sciences (LUMS) logoLL

Lahore University of Management Sciences (LUMS)

Bachelor of Science (Honours) in Management Sciences, Management Sciences

Activities and societies: Relevant courses: Business Communication, Business Analytics, Decision Analysis, Data Science for Decision Making, Strategic Business Management, Probability and Statistics, Supply Chain and Logistics Management.

Completed a BSc (Honours) in Management Sciences at LUMS with coursework spanning business communication, business analytics, decision analysis, data science, strategic business management, and supply chain/logistics.

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