← Back to list
Senior
Registration: 08.04.2023

Gul Jabeen

Specialization: Data Scientist
Data Scientist with over four years of experience in AI, data science and predictive modeling. Skilled in machine learning, deep learning and NLP libraries, BERT, HuggingFace, CoreNLP, SpaCy, NLTK, OpenIE, OPENAI-GPT3, CHATGPT, data mining and data engineering. Experienced in improving data science world through predictive modeling, data mining, NLP and advanced deep learning techniques. I worked as a Research Assistant at the AI Lab, University of Udine, Italy, on projects such as Fake News Detection and Vaccine Hesitancy. Previously worked as a Data Scientist and Applications Consultant at Capgemini Deutschland GmbH, Cologne, Germany, on projects such as Adverse Event Detection Engine and BI DLM (Business Intelligence Data Life Cycle). Also completed internships at Capgemini Deutschland GmbH, Hannover, Germany, and Leibniz University Hannover, RTG 1723 “Globalization and Development” (GlaD), Hannover, Germany. Graduated with a Master of Science: ITIS (Internet Technology and Information’s System) from the Gottfried Wilhelm Leibniz University - Hannover, Germany, with a thesis on N-ary relations extraction from news datasets and a research project on local-vs-global models for fairness-aware classification for loans. Passionate about spreading awareness of women in tech and inspiring the next generation of young women to pursue AI and data science. Open to collaborations, speaking engagements, and other opportunities to motivate more women to pursue their careers in AI.
Data Scientist with over four years of experience in AI, data science and predictive modeling. Skilled in machine learning, deep learning and NLP libraries, BERT, HuggingFace, CoreNLP, SpaCy, NLTK, OpenIE, OPENAI-GPT3, CHATGPT, data mining and data engineering. Experienced in improving data science world through predictive modeling, data mining, NLP and advanced deep learning techniques. I worked as a Research Assistant at the AI Lab, University of Udine, Italy, on projects such as Fake News Detection and Vaccine Hesitancy. Previously worked as a Data Scientist and Applications Consultant at Capgemini Deutschland GmbH, Cologne, Germany, on projects such as Adverse Event Detection Engine and BI DLM (Business Intelligence Data Life Cycle). Also completed internships at Capgemini Deutschland GmbH, Hannover, Germany, and Leibniz University Hannover, RTG 1723 “Globalization and Development” (GlaD), Hannover, Germany. Graduated with a Master of Science: ITIS (Internet Technology and Information’s System) from the Gottfried Wilhelm Leibniz University - Hannover, Germany, with a thesis on N-ary relations extraction from news datasets and a research project on local-vs-global models for fairness-aware classification for loans. Passionate about spreading awareness of women in tech and inspiring the next generation of young women to pursue AI and data science. Open to collaborations, speaking engagements, and other opportunities to motivate more women to pursue their careers in AI.

Portfolio

Diabetes Binary Classification

Data Scientist

Name Entity Recognition

Data Scientist

Ontology Creation for Wikipedia dataset

Data Scientist

Skills

Python
R
Deep Learning

Work experience

Lead AI/ML
04.2022 - 02.2023 |RapidSilicon, Lahore, Pakistan
AI for semi conductor industry
Leverage AI to improve existing electronic design automation flows (i.e., enable a seamless and faster deployment of AI models on hardware devices).
Data Scientist | Applications Consultant II
04.2021 - 02.2022 |Capgemini, Cologne, North Rhine-Westphalia
Data Science Projects
Project: SmartClass AI • Multi-class classification problem resolved using machine learning and deep learning techniques • AWS S3, AWS Sagemaker Project: NLP@RI • Leading the project • Information Retrieval and NLP tasks • Applied classification models (using Hugging Face Libraries) • Entailment Mapping (using Hugging Face Libraries)
Data Scientist | Applications Consultant I
03.2020 - 03.2021 |Capgemini Deutschland GmbH, Cologne, Germany
Data Science Projects
Project: Adverse Event Detection Engine Responsibilities: • Data Engineering & Data Analysis • Machine Learning (Logistic Regression, SVM, randomforest) (Binary classification and tagger) • Deep Learning (BiLSTM, CRF, BERT) (Binaryclassification and tagger) • Used oversampling techniques to improve imbalanced dataset performance (SMOTE) • OOP and Command-Line Interface Project: BI DLM (Business Intelligence Data Life Cycle) Responsibilities: • Data Migration: Writing python scripts as middlewarebetween Talend & SAP • Data Analysis • Python-based project, AWS S3

Educational background

Master of Science: ITIS (Internet Technology and Information’s System) (Masters Degree)
2017 - 2020
Gottfried Wilhelm Leibniz University - Hannover,Germany
Bachelor of Science: Computer Science (Bachelor’s Degree)
2012 - 2016
Comsats Institute of Information And Technology

Languages

EnglishProficientGermanElementaryUrduNative