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SUHANI MEHTASM
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SUHANI MEHTA

@suhanimehta

Data Analyst using SQL & Python to drive KPI accuracy and automation.

India
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What I'm looking for

I’m looking for a data analyst role where I can use SQL, Python, and Tableau to automate reporting, improve KPI governance, and build predictive models—partnering closely with stakeholders to drive measurable product, marketing, and operational impact.

I’m a Data Analyst focused on turning large-scale data into clear, executive-ready decisions. At Agoda, I leveraged SQL and automated workflows to resolve KPI escalations, strengthen SLA adherence, and reduce revenue exposure from misreported metrics.

I build reusable validation and governance frameworks that audit metric definitions, aggregation logic, and pipeline dependencies. I’ve automated escalation tracking and standardized KPI calculation logic across Tableau dashboards, reducing manual triage effort by ~30–35% and improving cross-market consistency by ~17%.

Across internships and product-focused analytics work, I’ve supported marketing and product insights through churn modeling, funnel analysis, and dashboarding. I enjoy partnering with cross-functional stakeholders—translating statistical findings into actionable reporting that improves campaign effectiveness and retention decisions.

Experience

Work history, roles, and key accomplishments

Blipper.ai logoBL

Product Design Analytics Intern

Blipper.ai

Aug 2023 - Nov 2023 (3 months)

Mapped acquisition-to-engagement user journeys across web workflows, identifying behavioral friction points that contributed to a 25% reduction in recurring usability issues. Developed engagement and conversion dashboards and decomposed funnels into behavioral stages to diagnose drop-off bottlenecks and support workflow refinements.

Education

Degrees, certifications, and relevant coursework

King Mongkut's University of Technology Thonburi logoKT

King Mongkut's University of Technology Thonburi

Bachelor of Engineering, Computer Engineering

Grade: GPAX: 3.53/4.0

Bachelor of Engineering in Computer Engineering at King Mongkut's University of Technology Thonburi. Coursework covered computer science, statistics, data structures, database systems, big data/business intelligence, machine learning for data science and AI, and data analysis/visualization, with A/B testing (self-study).

Tech stack

Software and tools used professionally

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