プロフィール詳細

プロジェクトを作成

★★★★★

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☆☆☆☆☆

Syeda Beenish F.に依頼

Pakistan

XAI & MLOps Specialist | Help Regulated Industries Pass AI Compliance Audits | IEEE (under-review) Researcher, MSDS

プロフィール概要

Companies deploying AI in regulated industries face a growing challenge: regulators and users demand transparency, but most models remain black boxes. I help organizations bridge this gap by making AI systems explainable, auditable, and compliant with emerging regulations like the EU AI Act. With a Master's in Data Science and multiple IEEE publications in Explainable AI, I specialize in counterfactual explanations that turn 'black box' models into 'glass box' systems. My work with the Norwegian Labour and Welfare Administration (NAV) involved implementing transparency frameworks for automated citizen-service models—ensuring algorithmic decisions are both high-performance and ethically sound. I offer three core services: AI Audits & Compliance Reports: Comprehensive analysis of your models with counterfactual explanations to identify bias, ensure transparency, and prepare for regulatory review. MLOps Implementation: Production-grade model monitoring with drift detection and alerting to prevent model decay and revenue loss. Multilingual NLP Optimization: Fine-tuning of mBERT and other multilingual models for better performance across low-resource languages and cultural contexts. Whether you need to audit an existing system, implement monitoring for production models, or optimize multilingual performance, I deliver research-backed solutions that stand up to scrutiny. Let's discuss your project—I typically respond within 24 hours.

専門分野

• ★ Machine Learning
• ★ Artificial Intelligence
• ★ User Research
• ☆ Data Analysis
• ☆ Natural Language Processing
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Python
• ☆ LaTex
• ☆ Tableau
• ☆ Gap Analysis

サービス

• Research
• Consulting
• Data & AI
• Product Development

Research Feasibility Study, Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Business Strategy Consulting, Digital Strategy Consulting, Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Product Evaluation, Product Validation, Product Compliance , Concept Development, Prototyping

職務経験

Research Student

Superior University

- 現在

学歴

Masters in Data Science

Superior University, Lahore

2月 2024 - 現在

Masters in Data Science (Department of Computer Science)

Superior University

2月 2024 - 2月 2026

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Fatima, Beenish, and Fawad Nasim. "Tiny Transformers for Financial Sentiment Analysis: Class Imbalance Resolution and CPU-Optimized Deployment." Annual Methodological Archive Research Review 3, no. 12 (2025). https://doi.org/10.63075/zyvhr606 .