Data Science Machine Learning

Reshma Chowdary Attipatla

********@****.*** Maryland, USA LinkedIn Github

EDUCATION

UNIVERSITY OF MARYLAND BALTIMORE C0UNTY AUG 2023 - MAY 2025 USA Master of professional studies in data science, CGPA-3.93/4

• Coursework: Big data processing, Applied Artificial Intelligence, Machine Learning, Leadership in data science.

• Member of ACM Chapter, Organized and Coordinated coding competitions and workshops to promote student engagement in programming and computer science.

RVR & JC COLLEGE OF ENGINEERING AUG

2019-JUNE 2023 INDIA

Bachelor of Technology in Computer Science and Engineering, CGPA-3.8/4

• Coursework: Data Structures, object-Oriented Programming, Operating Systems, Cryptography & Network Security, Software Engineering.

EXPERIENCE

Library Data Intern JUNE 2021 – NOV 2021 INDIA

RVR & JC College of engineering

• Digitized 5,000+ book records by designing and maintaining a structured database, improving catalog accessibility and accuracy.

• Built interactive dashboards in Excel/Power BI to visualize borrowing trends, including top genres, frequent borrowers, and overdue patterns.

• Analyzed circulation data to identify high-demand subjects, enabling data-driven acquisition planning.

• Automated monthly reports on book loans and returns, reducing manual workload by 40%. INDIAN SERVERS, Intern JUNE 2022 – OCT 2022 INDIA

• Developed a CNN-based pneumonia detection model using 5,000+ chest X-ray images,fine-tuned architecture and hyperparameters to achieve 92% classification accuracy.

• Designed a robust pre-processing pipeline with augmentation techniques (rotation, flipping, noise injection), enhancing model generalization and reducing overfitting.

• Automated training and evaluation workflow using early stopping and validation metrics, resulting in a 20% reduction in validation error and consistent performance on unseen data. SKILLS

Languages: Python, SQL, Java, C, MongoDB

Analytics & ML: Pandas, NumPy, Scikit-Learn, TensorFlow, Hugging Face, Power BI, Excel Data Engineering & Cloud: Apache Spark, Hadoop, Apache Airflow, AWS (S3, Redshift, Lambda, Glue), Azure (Data Factory)

Data Modeling & Warehousing: Data Modeling, SQL Scripting, Data Warehousing DevOps & Tools: Docker, REST APIs, Linux, BeautifulSoup (Web Scraping), ETL Pipelines, Data Warehousing PROJECTS

SENTIMENT ANALYSIS ON AMAZON MOBILE DATASET AUG 2023 – DEC 2023 USA

• Conducted sentiment analysis on 82,815 Amazon mobile reviews, leveraging BERT fine-tuning and machine learning models (Naive Bayes, SVM, BERT).

• Built visualization dashboards using Matplotlib & Seaborn to analyze sentiment trends across brands, providing actionable insights for marketing strategies. Tech stack: Python, NLP, BERT, Scikit-learn, Seaborn, Pandas, BeautifulSoup. FIRE DETECTION USING CNN & IMAGE PROCESSING SEP 2024 - DEC 2024 USA

• Built a CNN model using VGG16 with robust augmentation, achieving 90%+ accuracy and 0.9688 F1 score on a 2,000-image dataset.

• Curated a diverse fire/non-fire dataset from Roboflow, Google Images, and public sources for real-world applicability

• Benchmarked performance against LLaMA2-7B and GPT-4 Mini, validating LLMs for image classification tasks.

• Proposed IoT and drone-based deployment for real-time fire alerts in smart homes and forest monitoring. Tech Stack: Python, TensorFlow, Keras, VGG16, Llama2, GPT-4 Mini, Roboflow, ImageDataGenerator. LUNG DISEASE DETECTION & CLASSIFICATION USING YOLOv8 (NVIDIA) JAN 20225 – may 2025 USA

• Engineered a YOLOv8-based deep learning pipeline on 7,500+ annotated X-ray images, achieving 80% validation accuracy.

• Applied advanced augmentations and trained using AdamW optimizer over 100 epochs.

• Deployed the model on Jetson Nano for efficient real-time inference in low-resource settings.

• Created custom evaluation scripts and implemented early stopping to optimize model performance and prevent overfitting

Tech Stack: Python, YOLOv8, Roboflow, TensorFlow, Image Augmentation, Jetson Nano, AdamW

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