
Younas Sohail
@younassohail
I build AI pipelines, predictive models, and data products from complex datasets.
What I'm looking for
I've built automated data pipelines, predictive machine learning models, and production-ready AI workflows across data engineering, computer vision, and analytics.
At FlyRank, I engineer Python and FastAPI web-extraction pipelines and backend data services that ingest and normalize multi-source feeds. I also build validation and schema-matching routines for clean, queryable databases.
At Mashkraft, I transformed transactional datasets with SQL and delivered Power BI and Tableau KPI dashboards for operational monitoring. My work included auditing daily ingestion feeds for schema drift and data inconsistencies.
My projects include SignSpeak, a real-time assistive vision application for translating hand landmarks into gesture tokens, and a LangGraph-based airspace copilot for telemetry monitoring and automated alerts. I've also supported medical data science research on an attention-enhanced YOLOv5m detection model for resource-constrained clinical settings.
Experience
Work history, roles, and key accomplishments
Backend AI / Data Extraction Intern
FlyRank
Jul 2026 - Present (2 months)
Engineered automated web extraction pipelines and backend data services using Python and FastAPI to ingest and normalize multi-source feeds. Built automated validation and schema-matching routines to transform semi-structured text payloads into clean, queryable databases.
Data Analyst Intern
Mashkraft
May 2026 - Jun 2026 (1 month)
Queried, sanitized, and transformed multi-source transactional datasets using complex SQL joins and window functions. Designed and published interactive Power BI and Tableau KPI dashboards to monitor operational performance metrics.
Undergraduate Teaching Assistant - Data Science
FAST-NUCES
Aug 2024 - Jan 2025 (5 months)
Mentored 80+ undergraduate students in exploratory data analysis (EDA), SQL database queries, and foundational Python preprocessing.
AI & Data Science Intern
A▯M Lab, FAST-NUCES
Jun 2024 - Aug 2024 (2 months)
Preprocessed, cleaned, and standardized 20,000+ experimental data records using Pandas and NumPy for model benchmarking. Performed exploratory statistical analysis to evaluate class imbalance and data distributions across experimental runs.
Education
Degrees, certifications, and relevant coursework
FAST – National University of Computer and Emerging Sciences
Bachelor of Science, Data Science
2021 - 2026
Pursued a Bachelor of Science in Data Science, covering core coursework in big data analytics, machine learning, deep learning, statistical inference, database systems, data warehousing, and software engineering.
Availability
Location
Authorized to work in
Social media
Skills
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