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Data Science with 1+ years in ETL, Cloud, and Business Intelligence
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Assessing your cultural and operational fit
Abdul Rahman Syed is an accomplished Digital Marketing & Data Associate and Data Analyst with 1.9 years of experience. He is skilled in Python, SQL, ETL pipeline development, cloud computing (AWS, GCP), and data visualization tools like Tableau and Power BI. Abdul has a proven track record of building automated reporting systems, developing real-time dashboards, and leveraging data-driven insights to improve marketing ROI and financial reporting accuracy. His project experience includes AI image prompt extraction and cloud server infrastructure management.
Osmania University
Bachelor of Engineering · Information Technology
N/A – June 30, 2023
SelleckChem LLC.
Digital Marketing & Data Associate
December 1, 2024 – December 1, 2025
Hyderābād, Telangana, India
Biofin Capital
Data Analyst
November 1, 2023 – August 1, 2024
Hyderābād, Telangana, India
AI Prompt Extractor & Showcase
May 1, 2026 – Present
Automated the extraction and organization of over 1,000 AI image prompts from Telegram. Developed a personal prompt showcase website to categorize and manage generative AI assets efficiently.
Personal Cloud Server Infrastructure
February 1, 2026 – Present
Architected a combined remote PC and cloud storage solution utilizing a high-capacity 4TB system. Configured Tailscale for secure remote access and set up media hosting capabilities for centralized data management.
Google Professional Data Engineer Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI prompt extraction and personal cloud infrastructure, indicates a strong curiosity and willingness to explore new technologies, which aligns well with an innovative culture. Experience in both digital marketing and financial data analysis suggests adaptability and a broad understanding of different business contexts. The pursuit of a Google Professional Data Engineer Certification further highlights a commitment to professional growth and continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through automating data workflows and building analytical dashboards. Collaboration with cross-functional teams is evident in both professional roles. The personal projects indicate initiative and a proactive approach to learning and applying new technologies. The candidate's experience in digital marketing and data analysis suggests an operational fit for roles requiring data-driven decision-making and business impact.