Data Scientist

AASHRITH DEVULAPALLY

+1-602-***-**** Tempe, AZ

*************@*****.*** linkedin.com/in/aashrith-devulapally aashrithdevulapally.com EDUCATION

Master of Information Technology, Arizona State University Dec 2025 Relevant Coursework: Data Analytics, Security, Project Management, Data Engineering, Supply Chain Management Bachelor of Electronics and Communication Engineering, SR Engineering College Relevant Coursework: Machine Learning, Deep Learning, IoT, VLSI 2019 - 2023 SKILLS

Technical Skills: Python, SQL, Power BI, Machine Learning, Exploratory Data Analysis (EDA), Data Transformation and Loading (ETL), Deep Learning, Artificial Intelligence, Data Visualization, Statistical Analysis, Predictive Modelling, Big Data Technologies.

Integration Skills: Pandas, scikit-learn, Convolutional Neural Networks (CNN), Natural Language Processing (NLP), Data Integration, Data Cleaning, Data Preprocessing, Data Warehousing. CERTIFICATIONS

Professional Certifications Oracle Machine Learning using Autonomous Database 2023 Certified Associate Coursera Data Analytics on AWS

PROJECTS

Classification of Human Activities Using CNN with PCA

Designed and executed a comprehensive pipeline for data preprocessing and augmentation, resulting in a 30% increase in model robustness and ensuring reliable performance across diverse scenarios without additional data collection.

Presented research at the 2nd International Conference for Advancement in Technology (ICONAT) and was selected for publication by IEEE Bombay, highlighting significant contributions to technological advancements. IEEE Conference Publication

AI-Powered Chest Disease Detection and Classification:

Developed an AI-powered diagnostic system using Resnet architecture and TensorFlow, achieving a 15% improvement in diagnostic accuracy for lung disease classification through the integration of advanced deep learning techniques and detailed medical image analysis.

Enhanced model robustness by implementing image preprocessing and data augmentation techniques using Python and OpenCV, which led to a 20% increase in classification accuracy and a significant reduction in overfitting, validated through testing on over 10,000 medical images. Time Series Analysis of S&P 500 Stock Market Trends:

Executed time series analysis using moving averages and resampling methods on S&P 500 data to assess price trends and volatility.

Applied advanced statistical methods, including multivariate and correlation analysis, to identify relationships among stock market variables, successfully enhancing the predictive model's accuracy by 25% for forecasting future market movements

Supply Chain KPI Dashboard in Power BI:

Developed an interactive Power BI dashboard to monitor critical supply chain KPIs, including order fulfilment rates, inventory turnover, and lead times, leading to a 30% improvement in operational response efficiency.

Enhanced supply chain visibility and decision-making by integrating dynamic scorecard functionalities into the dashboard, providing detailed drill-down insights that increased performance metric accuracy by 20%. EXPERIENCE

Research aid Sep 2022 - Dec 2023

S R University Warangal, India

• Collaborated with a Cognitive Science professor to collect and analyze EEG data using machine learning algorithms, achieving a 78% prediction accuracy in modeling neuron activity with technologies like MATLAB, EEG lab, and Python.

• Led the application of data-driven strategies utilizing Python, MNE, EEG lab, and PyTorch, significantly enhancing the precision and effectiveness of EEG data analysis methodologies. ACHIVEMENTS

• INTERNATIONAL ASTEROID SEARCH CAMPAIGN - NASA: NASA, earning recognition as a citizen scientist for contributing to data analysis and asteroid discovery initiatives in collaboration with SPACEONOVA and NASA.

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