About Gayathri
Dr. Gayathri Nagarajan is an esteemed data scientist and mentor with extensive experience in academic research and corporate consulting. Her expertise lies in transforming complex data into actionable insights and advancing the field of data science through research and education. Recognized with awards like 'Young Woman Researcher and Educator' and 'Best Researcher in Data Analytics', she excels in AI, ML, and GenAI technologies. As a technical panel member and guest lecturer, she enriches data science education and guides aspiring professionals with personalized mentorship, driving innovation in AI and ML domains.
Services Offered
Algorithm Design – ML (Machine Learning)
Development of intelligent algorithms that learn from data, including classification, regression, recommendation systems, and more.
Data & AI
Harness the power of data and artificial intelligence to solve complex problems and enhance decision-making. Our data-driven solutions include predictive analytics, machine learning, and AI development to help you unlock new opportunities, optimize operations, and gain a competitive edge.
Data Mining
Discovery of hidden patterns, relationships, and anomalies in large datasets using advanced algorithms and statistical techniques.
Research
Gain insights and make informed decisions with our expert research services. We offer in-depth market research, data analysis, and academic studies to support your strategic goals. Whether you're exploring trends, evaluating competitors, or understanding customer needs, we provide the knowledge you need to move forward.
Big Data Analytics
Analysis of large-scale datasets using distributed computing tools to uncover trends, correlations, and real-time insights.
Expertise
check_circle Programming Language
check_circle Machine Learning
check_circle Database Management
check_circle Deep Learning
check_circle Data Mining
check_circle SQL
check_circle R
check_circle Data Analysis Languages
check_circle Information Technology
check_circle Data Analysis Software
Professional Summary
The professional profile showcases a seasoned Data Science Consultant with comprehensive experience in developing AI models tailored to business needs, specializing in NLP, deep learning, and generative AI technologies while offering freelance consultation services since 2021. An esteemed mentor in data science, machine learning, and GenAI, the individual provides personalized guidance to students and corporate professionals while serving as a Technical Panel Member at Antern Technologies. With a storied history at VIT University, the consultant is recognized for advancing predictive models in biomedical data analytics, contributing to numerous research publications. Previously, the expert has held academic positions, contributed to curriculum development at MVJ College of Engineering, and possessed extensive R&D experience with Yokogawa Engineering Asia Ltd and Tata Consultancy Services, underscoring a robust foundation in software engineering and industrial automation.
Work History
Data science/ML/GenAI Mentor
Independent
2024 - Present
- Data science/ML/GenAI mentor. Offers personalized one-on-one online sessions for students and corporate professionals in the field of data science, machine learning, and GenAI.
Panel Member
Antern Technologies
2024 - Present
Data Science Consultant
Independent
2021 - Present
- A data scientist exploring datasets and deriving insights from them. I work on freelancing projects across data science/AI domain. Provide consultation services for corporates. Expertise in developing AI models according to the business needs. Experience in developing classical ML models. Expertise in NLP, deep learning, GenAI and the related technologies.
Data Science Mentor
Springboard
2020 - 2022
- Mentor for the 'Data science career track' course designed for corporate professionals for transition into data science. Mentor for 'career initiative program' for a Data scientist.
Researcher in Machine learning
VIT university, India
2016 - 2021
- Effective techniques to improve the performance of Predictive models in biomedical data analytics. Research publications include: Missing data imputation on health big data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty. A hybrid feature selection model based on improved squirrel search algorithm and rank aggregation using fuzzy techniques for biomedical data classification. Feature engineering by a Brain-Computer progressively interactive Simulated annealing on Random Forest for Health data analytics. Predictive analytics on big data _ An overview. A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records. An empirical comparison of six supervised machine learning techniques on spark platform for health big data.
Assistant professor
MVJ college of Engineering, Bangalore, India
2011 - 2016
- Handled core subjects such as DBMS, Data structures, Analysis and Design of Algorithms, Software engineering, Data mining, programming languages such as C, C++, C# etc for computer engineering students. Experience in developing software for automation of certain processes in the institution. Publications include a survey on tying data to geographic locations in mobile – disconnected networks using boomerang protocol and a book titled "Practical concepts of database management system".
R&D engineer
Yokogawa Engineering Asia Ltd
2007 - 2010
- Experience with C++, C#.Net and SQL on projects related to industrial automation. Experience both in server and client side. Developed UI designs. Experience in using agile methods for development. Experience in executing test cases, using memory leak, code coverage tools, source control tools etc.
Software engineer
Tata consultancy services, Bangalore, India
2006 - 2007
- Worked with mainframe. Experience in COBOL, JCL etc.
Education Summary
The individual holds a Ph.D. in Machine Learning from VIT Vellore Institute of Technology, specializing in enhancing predictive models within biomedical data analytics. Prior to this, they completed their M.Tech in Advanced Computing at Shanmugha Arts, Science, Technology, and Research Academy, achieving an 8.3 CGPA, and earned a B.Tech in Information Technology from the University of Madras with an 82% grade. This educational background highlights a robust foundation in cutting-edge technology and analytics, underscoring expertise in the computational domain.
Education History
Ph.D, Machine learning
VIT_Vellore Institute of Technology , India
2016 - 2021
Effective techniques to improve the performance of Predictive models in biomedical data analytics.
M.Tech, Advanced computing
Shanmugha Arts, Science, Technology and Research Academy , India
2004 - 2006
Grade: 8.3 CGPA
B.Tech, Information Technology
University of Madras, India
2000 - 2004
Grade: 82%
Publications Summary
This compilation showcases an impressive range of scholarly works spanning over a decade, highlighting advancements in health data analytics and computational methodologies. With notable contributions to eminent journals such as "Artificial Intelligence in Medicine" and "Journal of Biomedical Informatics," the publications delve into innovative techniques for data imputation, hybrid feature selection, and predictive analytics. The breadth of research, underscored by presentations at international conferences and diverse topics like mobile network data handling and cybersecurity, illustrates a robust expertise in leveraging machine learning and optimization algorithms to address complex challenges in health informatics and biomedical data classification.
Published Works
A hybrid feature selection model based on improved squirrel search algorithm and rank aggregation using fuzzy techniques for biomedical data classification
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Publisher: Springer
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Feature engineering by a Brain-Computer progressively interactive Simulated annealing on Random Forest for Health data analytics
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Missing data imputation on health big data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty
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Publisher: Elsevier
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Pages: 102214
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Predictive analytics on big data _ An overview
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A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records
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Publisher: Elsevier
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An empirical comparison of six supervised machine learning techniques on spark platform for health big data
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A survey on tying data to geographic locations in mobile – disconnected networks using boomerang protocol
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Practical concepts of database management system
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Publisher: Surya infotainment publisher
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A novel approach for detecting hacking using data mining techniques
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Certifications Summary
The individual possesses a robust portfolio of certifications underscored by a professional membership in the Institution of Electronics and Telecommunication Engineers (IETE), signifying recognized expertise in electronics and telecommunication engineering. Their proficiency in project management is further substantiated by multiple certifications from the Institute of Systems Science at the National University of Singapore, encompassing critical competencies including project integration, risk management, scope, schedule, and communications management. These certifications affirm a comprehensive capability in handling complex information systems and project management tasks.
Certifications
Manage project schedule
Institute of Systems Science, National University of Singapore
IETE Member
Institution of Electronics and Telecommunication Engineers (IETE)
Manage project risk
Institute of Systems Science, National University of Singapore
Manage project scope
Institute of Systems Science, National University of Singapore
Manage project integration
Institute of Systems Science, National University of Singapore
Manage project communications
Institute of Systems Science, National University of Singapore
Project management for information systems
Institute of Systems Science, National University of Singapore
