Open to opportunities

Divya K

@divyak4

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Data analyst with strong analytics, ETL optimization, and ML experience driving operational impact.

United Arab Emirates

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What I'm looking for

I seek roles where I can own end-to-end analytics and ML solutions, optimize pipelines, build dashboards, and drive measurable operational impact in collaborative teams.

I am a data analyst with hands-on experience optimizing ETL pipelines, building operational dashboards, and delivering ML-driven analytics that reduce costs and improve reliability. At my current role I reduced ETL runtime by 43% and cut yearly SLA breaches significantly while owning data provisioning for 40+ org-wide reports.

Previously, I worked in data science roles where I led analyses that reduced top service drivers by 16% and delivered anomaly detection and device scoring solutions that improved incident prediction and remediation. I have product ownership experience for internal tools that monitor channel traffic and surface key KPIs to teams.

I enjoy developing end-to-end solutions — from data engineering and pipeline automation to model development and dashboarding — using Python, SQL, AWS, and visualization tools like Tableau and QuickSight. I have a track record of launching global dashboards and metrics adopted by multiple teams.

I am motivated by opportunities to translate complex data into actionable recommendations, mentor cross-functional teams, and build scalable analytics that directly impact finance, supply, and customer experience.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Amazon

Jun 2024 - Present (1 year 4 months)

Optimized Inventory and Audit ETL pipelines reducing runtime by 43% and yearly SLA breaches from 36% to 4%; owned concessions calculation logic powering 40+ org-wide reports and launched 25+ global operations dashboards to improve decision-making.

ETL SQL Python Tableau Amazon Quicksight AWS RedShift Data Modeling Dashboarding

Engineer II - Data Science

Verizon

Jul 2022 - Oct 2023 (1 year 3 months)

Performed deep-dive analyses on service desk data reducing top drivers by 16%, owned a Slack monitoring app for agent KPIs, and designed device scoring algorithms to automate replacement recommendations.

Python SQL Machine Learning LightGBM Data Analysis KPIs Root Cause Analysis

Engineer I - Data Science

Verizon

Aug 2020 - Jul 2022 (1 year 11 months)

Reduced password reset tickets by 37% via workflow improvements, developed topic modeling pipelines to accelerate downstream models, and implemented anomaly detection that improved major incident prediction accuracy by 25%.