Maryam Bagheri, Ph.D. Email and Phone Number
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Current:Working on LLM-enabled and LLM-enhanced applications in production for Customer Service using advanced RAG and prompting techniques to maximize the factualness and correctness. Overview: (It might seem a lot, but this is who I am)With a proven track record in both academia and industry spanning over 5 years, I have specialized in time-series forecasting, advanced computer vision, anomaly detection and spatial clustering (5 years), and generative AI (2 years in industry). I have pioneered AI applications across diverse fields such as medical and health analysis, marketing, operational and workflow efficiency, and financial and risk management.During this years, I've collaborated with interdisciplinary teams of data scientists, data engineers, engineers, consultants, and academic luminaries, utilizing a comprehensive toolkit that includes OpenAI, Langchain, HuggingFace, PyTorch, Keras, TensorFlow, Scikit-learn, CUDA, Postgres, MySQL, Azure and AWS to ensure our results align with organizational needs and uphold the highest standards of scientific rigor.
Capgemini
View- Website:
- capgemini.com
- Company phone:
- 212-314-8000
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Senior Data ScientistCapgemini Nov 2023 - PresentParis, France, FrLed the development of advanced RAG and LLM adaptation techniques, as well as state-of-the-art MOT for document review automation and queue management enhancements which has streamlined critical business processes and significantly driven operational efficiency. My commitment to innovative problem-solving and effective communication has strengthened client relationships and positioned the company as a leader in AI-driven solutions, delivering impactful and cost-effective results.
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Senior Data ScientistSfl Scientific, A Deloitte Business Oct 2022 - Sep 2023Quincy, Ma, UsDrove impactful business decisions by identifying patients at risk of surgical site complications using gradient booster nested models, significantly reducing SSC risks. Streamlined business planning with advanced time-series forecasting models, ensuring precision in diverse scenarios. Developed a real-time explainability tool using SHAP analysis, offering actionable insights into sleep score predictions, enhancing operational efficiency. Crafted an analytics dashboard for financial insights, aiding the A&D team in strategic decision-making. Led a pivotal project on "Hallucination Detection in LLM," providing cutting-edge solutions and benchmarks. Consistently fortified client relationships through insightful presentations, technical documentation, and fostering a culture of knowledge-sharing, positioning the company for future opportunities. -
Data Scientist IiSfl Scientific, A Deloitte Business Apr 2022 - Oct 2022Quincy, Ma, UsLed transformative projects and client engagements, merging technical expertise with business results. Pioneered ultrasonic wave data synthesis with CGANs in NDE, enhancing realism and reducing manual intervention. Integrated advanced compression techniques, achieving up to 97% compression ratios with minimal information loss, ensuring efficient data storage in low-connectivity environments. Delivered impactful presentations, and technical insights through white paper and GitHub repositories, solidifying client trust and collaboration.
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ResearcherUniversity Of Houston Jan 2022 - Mar 2022Houston, Tx, UsCollaborated on developing a specialized pre-trained language model tailored for the analysis of user-generated content in Spanish aimed to discern the intricate linguistic constructs, inherent biases, and potential toxic patterns prevalent in the Spanish language, offering superior performance compared to generic Spanish NLP models. -
Research AssistantUniversity Of Houston Jan 2017 - Dec 2021Houston, Tx, UsPioneered statistical techniques for entity clustering in epidemiology and visualized VAWT wake patterns. Translated fluid dynamics data for risk management and identified dominant modes in stirred tank vortex flows.
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Data Scientist InternInfotech May 2021 - Aug 2021Gainesvillle, Florida, UsEnhanced customer support workflows by 15% using predictive analysis on Talkdesk software. Developed a real-time dashboard for subscriber behavior insights, aiding decision-making. Implemented and evaluated an A/B test for an internal product, pushing the code to production. -
Data ScientistDnv Gl May 2019 - Aug 2019Høvik, Oslo, NoDeployed a CNN model for mooring line maintenance, achieving 88% early failure detection. Streamlined simulations, reducing product-to-market time by 80%. Enhanced risk assessment procedures using natural language models. -
Co-Op ResearcherHalliburton Jan 2019 - May 2019Houston, Texas, UsOptimized drilling processes using Deep Learning (RNN, LSTM, GRU) for well production rate predictions, achieving a 20% improvement in equipment efficiency. Published findings in OTC 2020.
Maryam Bagheri, Ph.D. Skills
Maryam Bagheri, Ph.D. Education Details
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University Of HoustonComputational Fluid Dynamics -
Sharif University Of TechnologyAerospace Engineering
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Sharif University Of TechnologyAerospace Engineering
Frequently Asked Questions about Maryam Bagheri, Ph.D.
What company does Maryam Bagheri, Ph.D. work for?
Maryam Bagheri, Ph.D. works for Capgemini
What is Maryam Bagheri, Ph.D.'s role at the current company?
Maryam Bagheri, Ph.D.'s current role is Senior Gen AI Scientist | AI & Machine Learning Expert.
What is Maryam Bagheri, Ph.D.'s email address?
Maryam Bagheri, Ph.D.'s email address is mbagheri@uh.edu
What is Maryam Bagheri, Ph.D.'s direct phone number?
Maryam Bagheri, Ph.D.'s direct phone number is +183267*****
What schools did Maryam Bagheri, Ph.D. attend?
Maryam Bagheri, Ph.D. attended University Of Houston, Sharif University Of Technology, Sharif University Of Technology.
What are some of Maryam Bagheri, Ph.D.'s interests?
Maryam Bagheri, Ph.D. has interest in Social Services, Economic Empowerment, Education, Environment, Poverty Alleviation, Science And Technology, Human Rights.
What skills is Maryam Bagheri, Ph.D. known for?
Maryam Bagheri, Ph.D. has skills like Matlab, Fluid Dynamics, Fortran, C++, Data Analysis, Ansys, Fluid Mechanics, Maple, Wind Tunnel Testing, Microsoft Ofiice, Tecplot, Labview.
Who are Maryam Bagheri, Ph.D.'s colleagues?
Maryam Bagheri, Ph.D.'s colleagues are Pankaj Mourya, Durga Raman Reddy, Robin Cimarosti, Shoumik Chakraborty, Vaishnavi Patil, Sadika Shaikh, Jean-Louis Moser.
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