About me
A deep-seated passion for leveraging data to solve real-time problems and deliver actionable insights. With approx. 10 years of experience, Rashmi is skilled across multiple domains, including education, cybersecurity, agriculture, finance with a significant focus on the EPC (Engineering, Procurement, and Construction) sector for Oil, Gas & Renewable energy.
Rashmi is the lead data scientist with Gold medalist in MTech (Computer Engineering) boasting a strong academic background with industry experience. She has not only served as a professor but also conducted research, publishing several articles on machine learning and image processing. This phase solidified her understanding of AI's potential in various applications, from automation to predictive modeling.
Transitioning into the corporate world, she worked as an AI & Computer Vision Engineer, developing solutions like an end-to-end pipeline for student answer script evaluation using deep learning and an adaptive test generation system. These experiences highlighted the importance of practical, scalable AI solutions in real-world scenarios.
Working with UAE's No. 1 bank - First Abu Dhabi Bank (FAB), she led projects that leveraged AI for voice and sentiment analysis, email classification, and fraud detection. These initiatives not only improved operational efficiency but also showcased the transformative power of AI in enhancing customer experience and compliance processes.
Currently, as a global lead data scientist at Petrofac International Ltd., she leads a team in developing data-driven strategies in construction projects. Notable projects include implementing a risk assessment model to forecast health and safety risks, enhancing human-machine interactions through AI for computer vision and knowledge mining, and developing a cognitive search engine and AI-driven systems for isometric stamp recognition and P&ID MTO extraction. She also leads the development of a chatbot using large language models to manage document lifecycle data. Her role involves collaborating with cross-functional teams, mentoring interns, and integrating AI across all phases of the EPC lifecycle.
Key recognition in Industry experience: Awarded best AI application for an employee chatbot at First Abu Dhabi Bank (FAB); Awarded best AI use case in the Middle East for Petrofac under the Oil & Gas category.
Key Skills: Large Language Models (Mistral.ai, Llama Series, GPT series), Python, Familiarity with Big Data (Apache Pyspark, Hadoop), Azure ML Studio, Azure OpenAI Studio, Azure AI Studio, UiPath Cloud AI Center
- Rashmi made significant contributions to our team, taking charge of an important and complicated domain, thereby expanding our scope of work. She quickly rose to a leadership position and proved to be a tremendous asset both technically and personally.AI-generated from recommendations on