Nandhini Manikandan

Assistant System Engineer

2020-2022

TATA Consultancy Services, Chennai

• Administered 1,000+ physical and virtual Windows servers, boosting performance and reliability, reducing downtime by 30% and maintaining a 95% success rate in resolving user-reported issues for seamless organizational functionality.
• Enhanced internal workflows by implementing robust automation using PowerShell scripting, resulting in a 40% increase in task efficiency and substantial time savings for the team.

Intern - Air Traffic Control (ATC) and Communication, Navigation, and Surveillance (CNS) Systems | Coimbatore International Airport

2018

Airport Authority of India, Coimbatore

• Attained comprehensive knowledge encompassing Communication, Navigation, and Surveillance (CNS) systems within the realm of Air Traffic Management (ATM). This proficiency extends to the intricacies of weather prediction and the adept utilization of navigational aids, culminating in a nuanced understanding of aviation intricacies.
• Cultivated a robust expertise in the orchestration of airport operations, meticulously safeguarding safety and operational efficiency. This encompassed the delicate art of allocating cruising levels, delivering precise instructions to pilots, and maintaining optimal spatial separation between aircraft—a testament to a refined skill set in the orchestration of aviation dynamics.

MSAE - Texas A&M University

Aug 2022 - May 2024

Texas A&M University - College Station, United States

Graduate Research Assistant - Department of Industrial Engineering

Student Technician - Department of Industrial Engineering

Srudent Assistant - Department of Biomedical Engineering

Bachelor of Technology in Aerospace Engineering

Aug 2016 - May 2020

Amrita Vishwa Vidyapeethams - Coimbatore , India

Represented Amrita Vishwa Vidyapeetham at ASTRA 2019 Hackathon

Final Year Project: Experimental characterization of the properties of a liquid Jet and Liquid sheet emanating from an effervescent atomizer

Graduate Research Assistant

2023 - Present

Department of Industrial Engineering, Texas A&M University - College Station

• Masters Thesis: Research Area: Human-Robot Interaction
• Spearheaded a human subject research evaluating cobot-assisted manufacturing workstation efficacy, analyzing 20 datasets over an 8-hour period, implementing safety protocols including restricted speeds and demarcated workspaces.
• Investigated trust metrics in Human-Robot collaboration, using mixed-effect models to highlight a 25% increase in efficiency and a potential 30% decrease in idle time for cobot-assisted vs. manual-assembly sessions.

Student Assistant

2023

Department of Biomedical Engineering, Texas A&M University - College Station

• Estimation of volume of the right ventricle from the endocardium area of CMR slices using recurrent neural network: Engineered an RNN that forecasts right ventricular volumes with 85% accuracy from cardiac MRI slices, facilitating efficient and consistent evaluation of right ventricular function for cardiac diagnostics and treatment planning
• Detection of biomechanical alterations in the left ventricle due to radiation-induced cardiotoxicity: Leveraged MATLAB and Python to analyze 2,000+ cardiac MRI images, detecting radiation-induced decline in left ventricular contractility and aiding in prompt detection of myocardial tissue changes through regional strain rates.

Cricket T20 World Cup Team Optimization

2023

Capstone Project

• Analyzed Cricket T20 data from ESPN, scraping statistics for 250+ players via Bright Data for an optimal 11-player team. Utilized Pandas for transforming, cleaning 10,000+ data points.
• Developed interactive Power BI dashboards to present insights derived from the analysis of Cricket T20 data, providing a visually appealing and user-friendly platform for data exploration and decision-making.
• Technology: Web scraping with Bright Data, Pandas for data manipulation, Power BI for visualization and dashboards.

Tableau-Powered Interactive Resume

2023

Freelanced Work

• Designed an interactive Tableau-based resume with data visualization, boosting views by 30% and elevating interview call rates by 40% through improved information presentation.
• Technology: Tableau, Excel.

Churn Prediction for Telecommunication Customers

2020

Machine Learning Project

• Employed advanced Ensemble techniques, such as Random Forest, Adaboost, and Gradient Boosting, to construct a powerful churn prediction model, showcasing a strategic blend of predictive algorithms.
• Executed a thorough data analysis, culminating in a noteworthy 25% decrease in churn rates, demonstrating the efficacy of data-driven decision-making in enhancing customer retention.
• Crafted and implemented targeted retention strategies, informed by insightful evaluations of customer tenure, resulting in a substantial improvement in overall customer retention rates.
• Technology: Ensemble Techniques: Random Forest, Adaboost, Gradient Boosting, Python, Data Analysis.

Gesture Recognition Using ROS

2023

Texas A&M University

• Developed a hand gesture recognition system with OpenCV and Media Pipe, achieving 90% accuracy in video playback control.
• Utilized Robot Operating System (ROS) for seamless integration, enabling precise and efficient gesture-based control of a Pixel phone-equipped robot for YouTube playback.
• Technology: OpenCV, Media Pipe, Robot Operating System, Python.

Coordinated Synchronized Dance Routine with Survivor Buddies

2023

Texas A&M University

• Led a collaborative effort with a 3-member team to engineer and synchronize the movements of 4 Survivor Buddies, creating an engaging dance routine that mirrored a selected song.
• Orchestrated the project by defining movement waypoints, configuring Robot Operating System (ROS), executing rviz simulations for testing, and delivering live demonstrations for a seamless and captivating performance.
• Technology: Python, Robot Operating System, rviz.

Enhancing Human Engagement with Social Robots

2023

Texas A&M University

• Incorporated ETH-XGaze for high-precision 3D facial and gaze tracking, seamlessly integrating eye tracking, voice interactions, and anthropomorphic features. This comprehensive approach resulted in a remarkable 50% increase in user engagement.
• Technology: ETH-XGaze - 3D Facial & Gaze Tracking, Eye Tracking Technology, Anthropomorphic Features Integration, Voice Interaction Systems.