Looking for a job

Abdus Saboor Dar

@abdussaboordar

Applied data scientist at Ethos AI evaluating AI model outputs; built IPinfo Places, launched across 236 countries.

At Ethos AI, I evaluate AI model outputs on data science and machine learning tasks, checking statistical reasoning, code correctness, and analytical conclusions. I write detailed assessments that identify errors and explain better approaches.

At IPinfo, I owned the end-to-end pipeline for Places, an IP-to-venue data product launched with about 2.7 million venue IPs across 236 countries. I built geospatial matching and classification, added validation gates, and cut execution time by 90% on key workloads.

At Afiniti, I built agent–customer pairing models for Telefónica Spain and measured their impact against the company’s routing system using statistical inference. Earlier, I applied machine learning to inventory matching, demand forecasting, and scheduling at Bluff City Smugglers, LLC.

Experience

Work history, roles, and key accomplishments

Current

Data Science Expert

Current

Ethos AI

Sep 2026 - Present (2 months)

Evaluated AI model outputs on data science and machine learning tasks, checking statistical reasoning, code correctness, and analytical conclusions. Wrote detailed quality assessments to train and improve models.

Data Science Machine Learning Statistical Reasoning Code Review Model Evaluation

Data Engineer

IPinfo

Apr 2025 - Jun 2026 (1 year 2 months)

Core engineer on IPinfo's Places product, owning the pipeline end to end from ingestion through ETL, orchestration, deployment, and validation. Designed custom ETL over planet-scale observation data and built geospatial matching against global place datasets.

ETL BigQuery Airflow Kubernetes GCP Geospatial analysis Data Validation CI CD Python SQL

Data Scientist II

Afiniti

Oct 2024 - Apr 2025 (6 months)

Built and optimized agent-customer pairing models for Telefónica Spain, scoring live contact-center interactions to select the highest-value match in real time. Measured model impact through alternating hourly benchmarks and statistical inference.

Machine Learning Statistical Inference A B Testing Feature Engineering Python SQL

Dean's Fellow

Habib University

Jul 2024 - Oct 2024 (3 months)

Delivered lectures and mentored undergraduate students in foundational algorithms and problem-solving. Contributed to research in mathematical and computational methods applied to machine learning and data science.

Teaching Mentorship Algorithms Machine Learning Data Science

Machine Learning Consultant

Bluff City Smugglers, LLC

Aug 2023 - Dec 2023 (4 months)

Applied text processing and supervised learning to automate SKU matching, reaching 87% accuracy and improving inventory precision by 24%. Engineered a demand forecasting module with XGBoost and built an employee scheduling module using linear programming.

Machine Learning Text Processing XGBoost Linear programming Python SQL

Assistant Manager - Enterprise

Rozee.pk

Oct 2020 - Aug 2022 (1 year 10 months)

Coordinated research projects with external partners, leading teams of 10+ and building SQL-based data models, a data warehouse, and automated reporting. Managed 500+ enterprise client accounts and acquired 100+ new clients while meeting revenue targets.

SQL Data Modeling Data Warehouse Reporting Client Management B2B Sales Team Leadership

Core Team Member

Innovata Tech

Jan 2018 - May 2020 (2 years 4 months)

Built Wicktron, an IoT-based no-ball detection system for cricket, taking it from prototype to 85-90% field accuracy through sensor data pipelines and ML model training. Designed the sensor data collection and labeling workflow with validation procedures.

IoT Machine Learning Sensor Data Data Pipelines Python