Khadeeja Qamar
@khadeejaqamar
Data Scientist building production generative AI, agentic workflows, and RAG pipelines for real clients.
PakistanWhat I'm looking for
I’m a Data Scientist focused on Generative AI & Agentic Systems, with 4+ years building production ML and generative AI systems that ship for real consulting clients.
At TenX, I built and deployed AI agent solutions, including an end-to-end automated proposal-generation application that drafts proposals in under 10 minutes and is cutting turnaround time by an estimated 40–50% (in live validation). I also led a three-agent GenAI migration workflow—translating legacy code, provisioning with dbt, and reconciling discrepancies—reducing large-scale migration time by 60–70% with only final review remaining manual.
I’ve applied this approach across healthcare diagnostics, financial-services fraud detection, and enterprise data engineering—developing a cancer detection application achieving 82% recall and improving fraud-detection accuracy by 7% using AutoGluon (AutoML). I also standardized prompt libraries, agent configurations, and evaluation workflows, cutting development time by 50%, and prototyped intelligent UIs in Streamlit for real-time validation of LLM-driven outputs.
Experience
Work history, roles, and key accomplishments
Data Scientist
TenX
Aug 2023 - Present (2 years 11 months)
Built and deployed AI agent solutions for consulting clients, including an automated proposal-generation application and a three-agent GenAI migration workflow. Developed a domain-agnostic data remediation framework, standardized reusable prompt libraries/evaluation workflows, and prototyped LLM-driven interactive UIs with Streamlit.
Data Scientist
Addressable Insights
Jun 2023 - Sep 2023 (3 months)
Developed a proof of concept to forecast U.S. election polling using Twitter data by engineering interaction/proximity-based features and training ML models. Trained and ensembled gradient-boosted trees, random forest, and LightGBM models to achieve strong predictive accuracy.
Associate Data Scientist
I2c Inc.
Jul 2022 - Jun 2023 (11 months)
Improved fraud-detection accuracy by introducing AutoGluon for training and inference in a Fraud Engine service, and built an end-to-end pipeline for account-takeover detection. Authored a network-data risk analysis to support an EU-compliance offering and investigated declined transactions using hierarchical fraud rules.
Education
Degrees, certifications, and relevant coursework
FAST-NUCES
Bachelor of Science, Computer Science
2018 - 2022
Completed a Bachelor of Science in Computer Science at FAST-NUCES from 2018 to 2022.
Availability
Location
PakistanAuthorized to work in
Job categories
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