About
Data Professional with 6+ years of total IT experience, including 4 years within established industry environments and the last 2 years as an Independent Data Consultant. Expert in SQL, Python, Power BI, and Tableau, with a proven track record of reducing reporting latency by 35% and churn by 15%. Having successfully managed end-to-end projects for 20+ stakeholders, I am now seeking a permanent position where I can apply my technical expertise and analytical reasoning to drive long-term business growth.
Skills & Expertise (26)
Work Experience
Independent Data Consultant
Freelance
Oct 2023 - Present
Engineered Python and SQL workflows to analyze 1.3M+ sales records, identifying critical seasonality trends that drove a 15% reduction in customer churn through targeted attrition risk insights. Architected automated ETL pipelines using Databricks and PySpark, standardizing cross-functional datasets and reducing manual reporting latency by 35% for executive-level stakeholders. Designed and deployed interactive Power BI and Tableau ecosystems for 20+ stakeholders, enabling real-time KPI tracking and improving regional sales performance visibility by 22%. Developed a machine learning-based churn prediction model, integrating Python-driven backend logic with Power BI to deliver actionable growth trends and operational improvements.
Software Developer
Infominez Private Limited
May 2019 - Mar 2022
Developed high-performance user interfaces and backend workflows, leveraging advanced data structures to enhance application efficiency and reduce server response times. Translated complex technical requirements into scalable software solutions, providing the technical framework for the company’s transition into advanced data analytics and engineering.
Data Analyst
Infominez Private Limited
Apr 2022 - Oct 2023
Optimized complex SQL queries and database schemas, successfully reducing data retrieval latency by 30% and accelerating the delivery of mission-critical business intelligence reports. Collaborated with backend engineering teams to build robust data ingestion pipelines, improving data reliability by 18% through rigorous cleaning, deduplication, and validation protocols. Led data integrity initiatives for client reporting, ensuring 100% accuracy in downstream BI dashboards by implementing automated validation scripts in Python.
Education
Bachelor of Science in Information Technology - Lovely Professional University
- 2018 · Afghanistan
Certifications
Google Advanced Data Analytics Certificate
Coursera · 2024
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Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
