Srivathsan Karthikeyan

Graduate Student - Assistant

University of Leeds•  February 2023 - Present

· Conducted a research study aimed at supplanting traditional statistical parameter estimation methods by implementing Deep Feedforward Neural Networks. Led a comprehensive study to assess the scalability and robustness of neural networks in estimating statistical parameters across diverse distributions. This involved the development of customized models for specific distributions, incorporating both individual and holistic prediction strategies. Identified challenges related to dataset constraints and highlighted the implications of underfitting and overfitting. Improved model robustness through extensive dataset expansion and rigorous optimizations, culminating in a thorough analysis of the top-performing model. · Demonstrated a detailed analysis on seven million rowed dataset with thirty five unique models and made a well-informed analysis on the drawn insights from the results. · Established collaborative relationships with academic mentors, resulting in the development of a predictive model capable of replacing traditional statistical formulas in a controlled environment.

Undergraduate Research Assistant

NIT, Trichy (National Institute of Technology)•  March 2020 - May 2022

· Engaged in a University funded research project that focused on automating greenhouse operations by integrating computer vision with Raspberry Pi-4, enabling real-time monitoring and control. Employed the ResNet-50 neural network architecture, adapting it to accurately recognize plant health, pest activity, and humidity levels within the greenhouse. · Integrated sensors to capture data, and coupled the neural network’s outputs to relay systems for automated irrigation and ventilation adjustments. Collaborated with peers from the Department of Instrumentation and Control Engineering, ensuring the model’s outputs align with control systems for effective automation. Took an active role in fine-tuning the model, with emphasis on minimizing false positives and ensuring consistent performance. Subsequently, showcased the implemented system and its efficiencies at a departmental seminar.

Analytics Student Intern

National Instruments•  May 2021 - January 2022

· focused on data visualization and analysis using Tableau and MS Excel, aiming to provide actionable insights for ongoing research and academic projects within the centre.Developed comprehensive dashboards in Tableau, visualizing complex datasets, highlighting trends, and providing an intuitive interface for stakeholders of the Innovation centre in India to draw quick insights. · Demonstrated proficiency in advanced MS Excel functionalities, including pivot tables and advanced charting, which helped in preliminary data processing before visualization.Collaborated with faculties to understand the requirements of various modules taught within the centre, ensuring data visualization projects aligned with academic and research needs.

University of Leeds

Data Science, MS•  September 2022 - September 2023

Key Modules - Deep Learning, Machine Learning, Data Science, Programming for Data Science

University of Washington, Washington

Machine learning, Online MOOC Specialization•  August 2020 - January 2023

Key Courses : Machine Learning Foundations: A Case Study Approach, Machine Learning: Regression, Machine Learning: Classification, Machine Learning: Clustering & Retrieval |Coursera Online specialization | |Credential ID: 38FZJT8FUXMK |

Johns Hopkins University

Data Science, Online MOOC Specialization•  August 2020 - January 2023

Key Courses : The Data Scientist’s Toolbox, R Programming, Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research, Statistical Inference, Regression Models, Practical Machine Learning, Developing Data Products| | Coursera MOOC Specialization | | Credential ID: S7FJT3F8B73H |

University of Michigan - Dearborn

Python, MOOC Specialization•  August 2020 - January 2023

Key Courses : Getting Started with Python, Python Data Structures, Using Python to Access Web Data, Capstone: Retrieving, Processing, and Visualizing Data with Python | Coursera MOOC Specialisation | | Credential ID: S7FJT3F8B73H |

DeepLearning.AI

Deep Learning, Online MOOC Specialization•  August 2020 - January 2023

Key Modules : Neural Networks and Deep learning, Improving Deep Learning Networks, Structuring Machine learning projects | Convolutional Neural Networks, Sequence Models | Coursera MOOC Specialisation | | Credential ID: FEX2XXL4NKN5 |

NIT, Trichy (National Institute of Technology)

Control Engineering, B.Tech•  August 2018 - August 2022

Key Modules - Artificial Neural Networks, Neural Networks and Fuzzy Logic, Pattern Recognition, Logic and Distributed Control Systems, Wireless Communications, Professional Communication