Data Analyst at Qureos with experience in building dashboards, reports, automation pipelines, and data-driven solutions using Python, SQL, Power BI, BigQuery, and REST APIs. Also experienced as a Project Engineer at Paki…
Data Analyst at Qureos with experience in building dashboards, reports, automation pipelines, and data-driven solutions using Python, SQL, Power BI, BigQuery, and REST APIs. Also experienced as a Project Engineer at Pakistan Synthetics ltd., with an engineering background in Mechanical Engineering.
Designed 15+ dashboards and reports using BigQuery SQL and Power BI to provide real-time insights into web applications, marketing funnels, and business KPIs.
Analyzed high drop-off rates in the user onboarding journey and ran an A/B experiment that resulted in 30% more conversions.
Built an automation pipeline by using REST APIs on Python to reduce operational tasks by 50% by syncing jobs between our own and 3rd party platforms.
Used Python for an intelligent email marketing drip campaign system that resulted in 7% more sales conversions.
Increased job applicant engagement such as the number of job applications by 13% and retention rate by 8% by improving the user experience by building automated engines in Python to build better AI-backed job descriptions and enriching company profiles.
Built a matching algorithm using Python and SQL based on user behavior and interests to create relevant job recommendations between job seekers and job listings, leading to 11% better retention rates and increased user satisfaction.
Successfully reduced the cost of acquiring candidates by $500 per month for particular segments while maintaining the quality of the candidate acquisition, this involved optimizing and tweaking job descriptions to target specific groups of candidates.
Wrote multiple web scrappers in Python for LinkedIn, Reddit, and competitor websites to extract data of different natures transforming it to suffice business requirements such as User Profile Completion, User Acquisition, and Lead Generation.
Used production and utility data to reduce the production of subpar-quality products by 8%.
Built reports on google sheets comprising daily production, raw material consumption, maintenance costs.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
