Gayathri
Madurai, Tamil Nadu, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, CPP, Docker, Git, JavaScript, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Postman, Python, Python3, PyTorch, Scala, scikit-learn, TensorFlow
Previously worked at: Startups
Assessment Score: 63
- Professional Experience
Currently working as a Data Scientist at Entropik Technologies since March 2023, specializing in human insights AI. Developed AI features for UX insights, enhanced eye tracking systems by 10%, and integrated generative AI algorithms such as GPT and Gemini for user research. Co-authored a paper on real-time eye tracking presented at CODS-COMAD 2024. Previously, worked as a Junior Research Engineer at Buddi.AI from May 2021 to March 2023, improving deep learning models for healthcare data extraction, increasing performance by 20%, and developing post-processing systems. - Academic Background
Holds a Bachelor’s degree in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, with a CGPA of 9.66. Demonstrated strong academic performance and a solid foundation in computer science principles, which led to successful contributions in various AI and machine learning projects. - Technical Skills
Proficient in Python, Scala, C++, MySQL, PostgreSQL, and web technologies like JavaScript and HTML. Experienced with Python libraries such as TensorFlow, PyTorch, OpenCV, and Scikit-learn for machine learning, image processing, and deep learning applications. Skilled in using Generative AI models like OpenAI’s GPT and Google’s Gemini, alongside tools like Docker, Git, and Langchain. - Project Experience
Led the development of a Disaster Management Framework web application, winning the McAfee Scholar Award. Worked on a real-time disaster response system called Diastro, which achieved 94% accuracy in classifying tweets related to “rescue” and “donation.” Developed a Crowd Detection web app using object detection to monitor crowded areas, showcasing expertise in AI-based real-time solutions. - Publications and Research
Co-authored research papers published in prominent journals and conferences, including the CODS-COMAD 2024 and Stoch Environ Res Risk Assess. Notable publications include a paper on real-time eye tracking using representation learning and deep learning-based flood severity assessment using social media streams. - Certifications and Recognition
Holds multiple certifications in machine learning, deep learning, and natural language processing from platforms like Coursera and NPTEL. Acknowledged for academic excellence and innovative contributions, including being a recipient of the McAfee Scholar Award and publishing in leading conferences