Data Analyst

SAIBALAJI NEELI

USA 541-****-*** *****************@*****.*** Linkedin

EDUCATION

Oregon State University Sep 2023 - Jun 2025

Masters, Computer Science and Engineering (GPA: 3.52)

• Coursework: Machine Learning, Machine Learning Challenges, Topological Data Analysis, Human Computer Interaction, Operating systems, Error Correcting Codes, Algorithms

Anna University Jan 2019 - Apr 2023

B.E., Computer Science and Engineering (GPA: 3.60)

• Coursework: Artificial Intelligence, Computer Architecture, Databases, Networks, Software engineering, Data warehouse WORK EXPERIENCE

TDK Invensense Machine learning intern - Capstone. Sep 2024 - Jan 2025

• Developed a low-power people counting system using ultrasonic sensors and applied Data Analysis principles to enhance scalability and system efficiency.

• Designed and optimized ML models for embedded systems by leveraging ML Modeling techniques and statistical diagnostics to ensure accuracy in resource-constrained environments.

• Integrated hardware and software components to create a functional prototype, effectively utilizing Data Handling skills to generate actionable, data-driven insights.

Supertutor AI ML Development intern. Jun 2024 - Sep 2024

• Developed machine learning models using Python, TensorFlow, and scikit-learn to enhance recommendation systems, applying Business Impact Measurement methods that increased user engagement by 25% and retention by 15%.

• Collaborated with cross-functional teams to identify key feature improvements and drive Framework Development initiatives that boosted app usability and contributed to a 50% rise in positive app store reviews.

• Executed complex SQL queries on a dataset of over 500,000 records and refined processes through Pipeline Building, uncovering actionable insights that improved engagement metrics by 15%. Outlier AI Prompt Engineer. Jan 2024 - Sep 2024

• Enhanced AI system functionality by debugging and optimizing response generation pipelines, incorporating Model Deployment techniques to ensure increased user satisfaction.

• Improved model accuracy and relevance by fine-tuning algorithms to better align outputs with organizational objectives.

• Collaborated with cross-functional teams to deploy AI solutions tailored to user needs, ensuring seamless integration and usability. Oregon State University Graduate Research Assistant. Jan 2024 - May 2024

• Conducted advanced research on minimal imputations in machine learning data preparation, resulting in a 15% reduction in data processing time.

• Evaluated over 10 machine learning models to optimize data completeness while maintaining high predictive accuracy, improving overall efficiency by 25%.

• Co-authored a research paper for VLDB 2024, demonstrating expertise in data preprocessing, machine learning, and statistical analysis. PROJECTS

Life Expectancy Prediction Jan 2024 - Mar 2024

• Developed a regression model to predict life expectancy using a dataset of 200,000+ records spanning 15 years (2000-2015).

• Achieved a high model performance with an R value of 0.85.

• Preprocessed the dataset to handle missing values, outliers, and inconsistencies to enhance model accuracy.

• Utilized Python and scikit-learn for data analysis and model development. Pneumonia Detection and Classification Apr 2023 - Jul 2023

• Implemented Convolutional Neural Networks (CNNs) for pneumonia detection using chest X-ray images.

• Achieved 95% classification accuracy and 0.92 ROC-AUC, surpassing the baseline models.

• Incorporated Transfer Learning with pre-trained models for improved diagnostic performance.

• Leveraged TensorFlow and Keras to streamline model training and testing processes. Database Management System Jan 2023 - Mar 2023

• Designed and implemented a centralized SQL database to manage F-1 race data, consisting of over 10,000 race statistics.

• Optimized database queries, reducing data retrieval time by 30%.

• Applied indexing and normalization techniques to improve system performance.

• Utilized MySQL and SQL Server for database creation, management, and analysis. SKILLS

• Programming Languages: C, C++, Python, JavaScript, Java, HTML, CSS, R programming, SQL

• Databases: MongoDB, MySQL, PostgreSQL

• Tools & Platforms: Microsoft Excel, Tableau, PowerBI, Jupyter, Google colab, Matplotlib

• Frameworks & Libraries: Pandas, NumPy, TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Hadoop

• Operating Systems: Windows, Linux, MacOS

• Machine Learning: Supervised and Unsupervised Learning, Neural Networks, Deep Learning, Reinforcement Learning, NLP

• Data Science & Operational Expertise: Data Science, Building pipelines, Operational recommendations, Healthcare concepts, Model performance measurement

Contact this candidate