SANDEEP BONDALAPATI

+1-656-***-**** Tampa, FL ad1jeq@r.postjobfree.com https://www.linkedin.com/in/sandeep-bondalapati/

EDUCATION

University of South Florida Tampa, FL

M.S. Computer science (GPA:4) August 2022 – May 2024

●Relevant Courses: Introduction to Computer Architecture, Intro to Artificial Intelligence, Machine Learning, Design and Analysis of Algorithms, Data Structures, Cloud computing with AWS, RDBMS.

PROFESSIONAL EXPERIENCE

Tata Consultancy Services Chennai, INDIA

Business Analyst (System Engineer) June 2020 – August 2022

●Utilized SQL for in-depth user data analysis, effectively discovering and preventing spam hits from form submissions, resulting in a substantial 40% reduction in spam incidents.

●Collaborated closely with cross-functional teams to identify and resolve component and data quality issues, ensuring data integrity and consistency throughout the organization.

●Provided valuable technical support to colleagues and key clients, admitting to addressing ad hoc requests, while also delivering effective training to new trainees.

●Leveraged data insights to implement Editable templates, content fragments, and Experience fragments for personalized content delivery, increasing user engagement by 15%.

●Employed Tableau for data analysis, creating essential metrics and KPIs to track progress across various requests and drive a significant 15% improvement in team productivity.

●Managed AEM administrative tasks, including user permissions, authoring, DAM, multi-site management, dispatcher, and workflow handling. Led successful migration to AWS cloud, achieving 40% scalability improvement and 30% system performance enhancement.

●Collaborated with team members to understand existing SAS scripts, ensuring accurate translation of business logic and data transformations.

PROJECTS

Task Tree Retrieval for Robotic Cooking

University of South Florida

●Developed Iterative Deepening and Heuristic search algorithms for Robotic Cooking Learning Tasks, yielding a 20% enhancement in task retrieval efficiency.

●Published a research project paper on Robotic Learning, available on arXiv (https://arxiv.org/abs/2211.01745), contributing to the field's knowledge and advancement.

Image Classification using CNN

University of South Florida

●Developed a TensorFlow-based CNN model, attaining an 88% accuracy rate in image classification and reducing training time by 15% with optimized batch processing using the Kaggle dataset.

●Leveraged a pre-trained LeNet-5 network, achieving image recognition with precision (92%), recall (91%), and an F1-score (93%), assessed via a confusion matrix.

Predicting Heart Failure Risk Analysis: Python

University of South Florida

●Conducted data preprocessing, exploration, and statistical analysis on a Kaggle dataset comprising 300 patient records.

●Utilized KNN, Decision Tree, Random Forest, and Naive Bayes classification algorithms to predict the likelihood of heart failure occurrence.

●Identified the optimal model through rigorous evaluation of precision, accuracy, and recall on an unseen test dataset.

CERTIFICATIONS

*Machine Learning by Stanford University *Data Analysis with Python IBM *Salesforce Certified Associate

*AEM Sites Business Practitioner Adobe *Programming in Python HackerRank

SKILLS

Programming and frameworks: Python, Java, C, SQL, Html, CSS, Bootstrap, Javascript, MongoDB, Node.js, Express.js.

Libraries: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras.

Tools & Softwares: Tableau, Excel, Word, Visual Studio, Salesforce, Adobe Experience Manager, Postman, REST APIS, SQL Server, SSIS, PostgreSQL, SAS, AWS, GCP.

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