Machine Learning Data Science

Tejaswini Nandu

689-***-**** # *.*****@***.*** ï https://www.linkedin.com/in/tejaswini-nandu § Github Education

University of Florida Gainesville, FL

Master of Science in Electrical and Computer Engineering August 2022-May 2024

• Coursework: IoT Security and Privacy, Fundamentals of Machine Learning, Parallel Computer Architecture, Neural Networks and Deep Learning, Agile Project Management, Computer Communications, Computer Architecture Experience

University Of Florida Gainesville, FL

Graduate Research Assistant and Student Mentor Skills: Machine Learning, Python, XGBoost, GPN-MSA May 2023-May 2024

• Applied advanced machine learning techniques, including unsupervised learning and deep learning, to analyze complex non-coding DNA sequences, achieving 88.2% accuracy in genomic annotation.

• Developed machine learning models with a focus on scalable architecture and robust design patterns.

• Utilized GPN-MSA transformer models and XGBoost, paralleling LLMs’ methodologies, to refine predictive models and increase classification precision by 20%, demonstrating cutting-edge applications in ensemble learning and shrinkage methods. Accenture Hyderabad, India

Associate Software Developer Skills: Java, Python, MySQL, Git, Software Development Lifecycle July 2021-July 2022

• Managed incidents for BMW project, achieving 95% compliance with SLA targets; led root cause analysis, identified key issues and implemented permanent solutions that decreased recurring issues by 50%.

• Utilized Git for version control and participated extensively in the full software development lifecycle.

• Developed and maintained software solutions using Java and Python, consistently applying best practices in programming and system design.

Engineers Hub Hyderabad, India

Mobile App Development Intern Skills: Android Studio, Node.js, UI/UX, Git June 2019-July 2019

• Designed the concept and initiated the frontend design phase of the Hand Out mobile application, aimed at reducing food waste and supporting orphanages.

• Collaborated closely with the team to establish project milestones and deliverables.

• Analyzed industry-standard tools like Android Studio and version control systems like Git to facilitate efficient development processes.

Projects

Sentiment Analysis Using LSTM(GitHub) Python, TensorFlow/Keras, AWS SageMaker

• Developed and deployed an LSTM-based sentiment analysis model using Python and TensorFlow in Jupyter Notebooks, targeting text data classification.

• Achieved a test accuracy of 96.32%, underscoring the model’s effectiveness in distinguishing between positive and negative sentiments in movie reviews.

• Leveraged AWS SageMaker for training and deployment, enhancing the model’s efficiency and scalability while facilitating better data management.

• Showcased expertise in Natural Language Processing (NLP) and the deployment of cloud-based machine learning solutions, demonstrating a strong grasp of cutting-edge technology in real-world applications. Brand Logo Classification(GitHub) Python, Tensorflow, Jupyter, VGG16

• Implemented a Convolutional Neural Network (CNN) classification system with transfer learning capabilities to categorize brand logos; accuracy was enhanced by 20% and shortened classification time by 60%

• Achieved an accuracy of 94.62% with VGG16 through hyperparameter tuning, including early stopping and the implementation of Adam optimizer.

THE THIRD EYE(GitHub) Python, VNC Viewer, Raspberry pi, OpenCV, Resnet50

• Developed ”The Third Eye,” a Raspberry Pi-based smart cane for visually impaired individuals.

• Integrated voice-based assistance, object detection, and GPS technology to enable independent travel.

• Empowered users with real-time feedback, navigation guidance, and enhanced situational awareness. Technical Skills

Programming: Python, C/C++, SQL, HTML, CSS, Javascript Data Visualization & Analysis: Pandas, NumPy, SciPy, Statmodels, Power BI, Tableau, Matplotlib, Plotly, Seaborn, statistics Cloud Computing: AWS (EC2, S3, SageMaker, Amplify, Lambda, AWS Glue, EMR, Kinesis, Elastic Beanstalk) Machine and Deep Learning: Supervised Learning, Data Analytics, Unsupervised Learning, Scikit-Learn, XGBoost, OpenCV, TensorFlow, Pytorch, Keras, CNNs, RNNs, LSTM, Transfer Learning, MATLAB Other tools: Linux, OpenCV, OpenMP, JIRA, GPU, OpenCL, Anaconda, Snowflake, Jupyterhub, React.js, Node.js, CUDA, MATLAB, Slack, Apache spark

Specialties: Distributed Storage Systems, Data Structures and Algorithms, Relational Databases, Data mining, Natural Language Processing, Statistics, Linear and Nonlinear Optimization, Parallel Programming Publications/Patents

Patent: ”THE THIRD EYE” - Developed AI-driven technology to enhance sensory perception for the visually impaired. Leveraged IoT integration, computer vision, and deep learning techniques to create a revolutionary assistive tool. Patent Application Number: 202*********.

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