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ijlal ansariIA
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ijlal ansari

@ijlalansari

Data Engineer focused on scalable pipelines, churn analytics, and ethical AI-driven data systems

Pakistan
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What I'm looking for

I am seeking a remote data engineering or data analytics role where I can build scalable data pipelines, work with large datasets, and develop insights from user behavior data. I’m especially interested in churn analysis, data-driven systems, and growing in modern data engineering and analytics environments using Python, SQL, and cloud tools.

I am a Data Engineer with a strong focus on building scalable data pipelines, transforming raw data into structured insights, and supporting data-driven decision-making systems. My core technical skills include Python, SQL, and data processing workflows, with practical experience in data cleaning, feature engineering, and machine learning-based analysis.

I recently completed a research project on churn prediction using behavioral data, where I worked on preprocessing large datasets, analyzing user engagement patterns, and building predictive models to understand user retention behavior. This work strengthened my interest in behavioral analytics, data governance, and ethical applications of AI in real-world systems.

Alongside engineering skills, I am actively developing expertise in modern data ecosystems, including distributed data processing concepts and workflow automation. I am particularly interested in roles that combine data engineering with product analytics, user behavior modeling, and scalable backend data systems.

I am currently seeking remote opportunities in data engineering or data analytics, where I can contribute to building reliable data infrastructure and impactful data products while continuing to grow in a collaborative engineering environment.

Experience

Work history, roles, and key accomplishments

LI

Data Management Intern

LivingPath

Jul 2025 - Aug 2025 (1 month)

Cleaned and validated large-scale datasets for senior housing market research to improve data reliability and accuracy. Built Python and SQL data preparation workflows that reduced preprocessing effort by 20%. Performed demographic and market analysis to support decision-making. Used GitHub version control to improve collaboration and reduce integration conflicts.

Education

Degrees, certifications, and relevant coursework

KU

Karakoram International University

Bachelor of Science in Software Engineering, Software Engineering

2021 - 2025

Grade: 2.74

Activities and societies: Active in co-curricular activities including reading clubs, data ethics discussions, and climate activism initiatives. Participated in community service programs and mountaineering, demonstrating teamwork, responsibility, and resilience in both academic and real-world environments.

Completed a Bachelor of Science in Software Engineering, building strong foundations in programming, data structures, databases, and systems. Worked on coursework and projects in software development and data analysis. Explored big data, cloud computing, and machine learning, culminating in a final year project on predicting early user churn using ML and deep learning models.

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