A

Ayesha Shafique

AI Researcher

Riyadh, Riyadh, Saudi Arabia8 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led AI initiatives across multiple industries.
  • Expert in NLP and LLM integration.
  • Proven track record in transforming data challenges.
Stackforce AI infers this person is a Data Scientist specializing in AI and NLP solutions across various industries.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine Learning

Other Skills

Agentic AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)AI AgentsData ScienceRecommendation SystemGenerative AIPython (Programming Language)Prompt EngineeringProject ManagementCluster AnalysisRAGDataiku DSSSentiment Analysis

About

𝗩đ—Čđ—»đ—¶đ—Œđ—ż 𝗗𝗼𝘁𝗼 đ—Šđ—°đ—¶đ—Čđ—»đ˜đ—¶đ˜€đ˜ (𝗔𝗮đ—Čđ—»đ˜đ—¶đ—° 𝗔𝗜 & 𝗠𝗟) | 𝗡𝗟𝗣 & 𝗟𝗟𝗠 đ—˜đ˜…đ—œđ—Č𝗿𝘁 (đ—§đ—Œđ˜‚đ—żđ—¶đ˜€đ—ș𝗧đ—Čđ—°đ—”, 𝗛đ—Č𝗼đ—čđ˜đ—”đ—§đ—Čđ—°đ—”, 𝗟𝗼𝘄𝗧đ—Čđ—°đ—”, đ—™đ—¶đ—»đ—§đ—Čđ—°đ—”, đ—˜đ—±đ—§đ—Čđ—°đ—”) Ayesha Shafique is a Senior Data Scientist and AI Leader with 7+ years of experience, driving and leading end-to-end AI initiatives across multiple industries. Her expertise spans 𝗟𝗟𝗠𝘀 đ—¶đ—»đ˜đ—Čđ—Žđ—żđ—źđ˜đ—¶đ—Œđ—», 𝗚đ—Čđ—»đ—Čđ—żđ—źđ˜đ—¶đ˜ƒđ—Č 𝗔𝗜, đ—±đ—Œđ—șđ—źđ—¶đ—»-đ˜€đ—œđ—Čđ—°đ—¶đ—łđ—¶đ—° đ—łđ—¶đ—»đ—Č-đ˜đ˜‚đ—»đ—¶đ—»đ—Ž, đ—„đ—”đ—š-𝗯𝗼𝘀đ—Čđ—± đ—źđ—żđ—°đ—”đ—¶đ˜đ—Č𝗰𝘁𝘂𝗿đ—Č𝘀, 𝗡𝗟𝗣, đ—„đ—Čđ—°đ—Œđ—șđ—șđ—Čđ—»đ—±đ—źđ˜đ—¶đ—Œđ—» 𝗩𝘆𝘀𝘁đ—Čđ—ș𝘀, 𝗩đ—Čđ—źđ—żđ—°đ—”/đ—„đ—źđ—»đ—žđ—¶đ—»đ—Ž, đ—źđ—»đ—± 𝗔𝗜 𝗔𝗮đ—Čđ—»đ˜đ˜€, with a strong record of transforming complex data challenges into scalable, production-grade intelligence. As a 𝘀𝘁𝗿𝗼𝘁đ—Čđ—Žđ—¶đ—° 𝗔𝗜 đ—čđ—Čđ—źđ—±đ—Č𝗿, she has led cross-functional teams, defined ML roadmaps, and aligned AI strategy with business outcomes—bridging technical innovation with organizational growth. 𝗜đ—șđ—œđ—źđ—°đ˜đ—łđ˜‚đ—č đ—Łđ—żđ—Œđ—·đ—Č𝗰𝘁𝘀 ‱ Delivered đ—łđ—Œđ—żđ—Čđ—°đ—źđ˜€đ˜đ—¶đ—»đ—Ž đ—źđ—»đ—± đ—źđ—»đ—Œđ—ș𝗼đ—č𝘆 đ—±đ—Č𝘁đ—Čđ—°đ˜đ—¶đ—Œđ—» 𝘀𝘆𝘀𝘁đ—Čđ—ș𝘀 đ—łđ—Œđ—ż đ˜đ—”đ—Č đ—Šđ—źđ˜‚đ—±đ—¶ đ— đ—¶đ—»đ—¶đ˜€đ˜đ—żđ˜† đ—Œđ—ł đ—§đ—Œđ˜‚đ—żđ—¶đ˜€đ—ș, uncovering large-scale travel behavior and seasonality patterns. ‱ Built an 𝗟𝗟𝗠-𝗯𝗼𝘀đ—Čđ—± 𝘀đ—Čđ—»đ˜đ—¶đ—șđ—Čđ—»đ˜ đ—źđ—»đ—źđ—čđ˜†đ˜€đ—¶đ˜€ đ—œđ—¶đ—œđ—Čđ—čđ—¶đ—»đ—Č đ—łđ—Œđ—ż đ˜đ—”đ—Č đ—Šđ—źđ˜‚đ—±đ—¶ đ— đ—¶đ—»đ—¶đ˜€đ˜đ—żđ˜† đ—Œđ—ł đ—§đ—Œđ˜‚đ—żđ—¶đ˜€đ—ș, analyzing multilingual traveler feedback and satisfaction trends in real time. ‱ Designed an 𝗔𝗜-đ—œđ—Œđ˜„đ—Č𝗿đ—Čđ—± đ—±đ—Œđ—°đ˜‚đ—șđ—Čđ—»đ˜ đ˜€đ—¶đ—șđ—¶đ—čđ—źđ—żđ—¶đ˜đ˜† 𝘀𝘆𝘀𝘁đ—Čđ—ș đ—łđ—Œđ—ż đ˜đ—”đ—Č 𝗹𝗩 đ—–đ—Œđ—»đ—Žđ—żđ—Č𝘀𝘀 (85% accuracy). ‱ Built 𝗰đ—čđ—¶đ—»đ—¶đ—°đ—źđ—č đ˜đ—żđ—¶đ—źđ—č đ—œđ—źđ—żđ˜đ—¶đ—°đ—¶đ—œđ—źđ—»đ˜ 𝗿đ—Čđ—°đ—Œđ—șđ—șđ—Čđ—»đ—±đ—źđ˜đ—¶đ—Œđ—» 𝘀𝘆𝘀𝘁đ—Čđ—ș𝘀 with advanced NLP-based extraction (88% accuracy). 𝗧đ—Čđ—°đ—” 𝗩𝘁𝗼𝗰𝗾 𝗗𝗼𝘁𝗼 đ—Šđ—°đ—¶đ—Čđ—»đ—°đ—Č 𝗙𝗿𝗼đ—șđ—Čđ˜„đ—Œđ—żđ—žđ˜€: Dataiku ‱ MLflow ‱ Vertex AI ‱ Azure ML Studio ‱ AWS SageMaker 𝗚đ—Čđ—»đ—Čđ—żđ—źđ˜đ—¶đ˜ƒđ—Č 𝗔𝗜 & 𝗟𝗟𝗠 đ—˜đ—°đ—Œđ˜€đ˜†đ˜€đ˜đ—Čđ—ș: OpenAI GPTs ‱ Llama 3.x ‱ LangChain ‱ LlamaIndex ‱ RAG ‱ AI Agents ‱ CrewAI ‱ LangGraph 𝗡𝗼𝘁𝘂𝗿𝗼đ—č đ—Ÿđ—źđ—»đ—Žđ˜‚đ—źđ—Žđ—Č đ—Łđ—żđ—Œđ—°đ—Čđ˜€đ˜€đ—¶đ—»đ—Ž (𝗡𝗟𝗣): HuggingFace Transformers ‱ spaCy ‱ NLTK ‱ BERTopic ‱ gensim ‱ TextBlob ‱ Flair đ—”đ—±đ˜ƒđ—źđ—»đ—°đ—Čđ—± 𝗠𝗟 & đ—„đ—Čđ—°đ—Œđ—șđ—șđ—Čđ—»đ—±đ—Č𝗿 𝗩𝘆𝘀𝘁đ—Čđ—ș𝘀: XGBoost ‱ LightGBM ‱ PyTorch ‱ TensorFlow ‱ Time Series (ARIMA, LSTM) ‱ Explainability (SHAP, LIME) đŸ€ 𝗟đ—Č𝘁’𝘀 đ—–đ—Œđ—»đ—»đ—Č𝗰𝘁 📧 aieeshashafique@gmail.com đ—ąđ—œđ—Čđ—» đ˜đ—Œ đ—čđ—Čđ—źđ—±đ—Čđ—żđ˜€đ—”đ—¶đ—œ đ—żđ—Œđ—čđ—Č𝘀, 𝗚đ—Čđ—»đ—”đ—œ đ—œđ—żđ—Œđ—·đ—Č𝗰𝘁𝘀, đ—źđ—»đ—± đ—°đ—żđ—Œđ˜€đ˜€-đ—¶đ—»đ—±đ˜‚đ˜€đ˜đ—żđ˜† 𝗔𝗜 đ—°đ—Œđ—čđ—čđ—źđ—Żđ—Œđ—żđ—źđ˜đ—¶đ—Œđ—»đ˜€.

Experience

8 yrs
Total Experience
1 yr 4 mos
Average Tenure
11 mos
Current Experience

Confidential government

Senior Data Scientist

May 2025 – Present · 11 mos · Riyadh, Saudi Arabia · Hybrid

Drc | ŰŻÙŠ ۹۱ ŰłÙŠ

Senior Data Scientist

Feb 2024 – Apr 2025 · 1 yr 2 mos · Riyadh, Saudi Arabia · On-site

Agentic AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Natural Language Processing (NLP)Machine LearningAI Agents+7

Ministry of tourism of saudi arabia

Senior Data Scientist

Feb 2024 – Apr 2025 · 1 yr 2 mos · Riyadh, Saudi Arabia · On-site

Large Language Models (LLM)RAGData ScienceNatural Language Processing (NLP)Machine LearningCluster Analysis+2

Upwork

Senior Data Scientist

Jan 2023 – Feb 2024 · 1 yr 1 mo

Cancerclarity

Senior Data Scientist

Jan 2022 – Jan 2023 · 1 yr · New York State, USA

  • Led the development and deployment of a cutting-edge LLM solution to automate participant screening, ensuring adherence to strict eligibility criteria.
  • Leveraged advanced natural language processing techniques to extract key information from diverse sources, including [data sources, e.g., customer surveys, financial reports, online platforms]. This facilitated precise identification of eligible participants, accelerating project timelines and maximizing resource utilization.
  • Boosted efficiency and accuracy, significantly reducing recruitment timelines and operational costs.

10pearls

Senior Data Scientist

Nov 2019 – Dec 2021 · 2 yrs 1 mo

Ephlux

2 roles

Data Scientist

Jul 2018 – Oct 2019 · 1 yr 3 mos

  • ● Responsible for scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation of applied analytics, predictive analytics, and prescriptive analytics
  • ● Work in productizing deep learning and computer vision algorithms
  • ● Involved in the execution of multiple business plans and projects Ensures business needs are being met Interpret data to identify trends to go across future data sets.

Junior Data Scientist

Dec 2017 – Jun 2018 · 6 mos

  • ● Gathered and analyzed information, design, and code data process and build predictive analytical models, formulate and test hypotheses, contribute to the development and communication of recommendations
  • ● Performed Data profiling, preliminary data analysis and handle anomalies such as missing, duplicates, outliers, and imputed irrelevant data.

Education

University of Karachi

Computer Science

Jan 2013 – Jan 2017

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