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Click here or scroll down to respond to this candidateCandidate's Name
Dearborn, MI Street Address +1 313 375 0932 EMAIL AVAILABLE WWW: https://LINKEDIN LINK AVAILABLE EducationUniversity of Michigan - DearbornMaster of Science in Data Science Aug 2022 - May 2024 Courses: Database systems, Management Science, Big Data analytics and visualisation, Text mining, information retrieval, Advanced Data Mining, Deep Learning, Applied Regression, Applied Data Analytics and Modelling for Enterprise Systems, Security and Privacy in cloud Velagapudi Ramakrishna Siddhartha Engineering College Bachelor of Science in Computer Science Aug 2016 - May 2020 Technical Skills Programming: Python, C, Java, HTML, CSS, Java script, R Programming, PHP, Node JS, React JS, TensorFlow Technologies: Data Structures and Algorithms, Deep Learning, Machine Learning, Artificial Intelligence, Data Analysis, Image processing, NLP, Algorithm Design, Cloud, Visual studio, Azure ML, Tableau, MATLAB, PowerApps, Power platforms ExperienceSoftware Developer, Tata Consultancy Services Jan 2021 - Jun 2022 Orchestrated the migration of legacy websites to new platforms for PwC clients, leveraging automation tools, efficient project management, resulting in significant time savings, lead to 30% increase in team productivity Configured and managed SharePoint environments, including site collections, lists, libraries, and permissions, ensuring secure and efficient content management across multiple departments Implemented SharePoint Online platform to revamp an existing site, optimizing document sharing, version control, and collaboration; reduced document duplication by 60% using PowerApps Provided technical support and training to end-users and administrators, resulting in a 25% decrease in support tickets and improved user satisfaction, Designed and developed custom SharePoint web parts, workflows, and InfoPath forms to automate complex business processes, reducing manual effort by 40% Developed custom PowerShell scripts to automate SharePoint administration tasks, saving over 100 hours of manual work annually Employed Node.js to develop and deploy automated action items on SharePoint sites, reducing turnaround time for client requests by 45% and enhancing overall team productivity by focusing on business cases using PowerApps Collaborated with cross-functional teams to gather requirements and develop SharePoint solutions that align with business objectives, leading to a 15% improvement in project delivery times Software Engineer Intern, Indian Servers Jun 2020 - Aug 2020 Engineered and automated ETL processes for enterprise data pipelines, reducing data processing time by 50% and increasing data accuracy by 20% through rigorous testing and maintenance Identified and resolved critical bugs through rigorous testing by focusing on metric goals by identifying key metrics and collaboration with development team, resulting in a 25% decrease in customer-reported issues and improved user satisfaction Evaluated existing and new machine learning models, fine-tuned parameters, and developed use cases, reducing prediction errors by 25% and addressing business problemsFull Stack Developer, Innove Infotech Apr 2019 - Jun 2019 Designed and managed web application and chat bot solution for an NGO by gathering business insights, enabling real-time monitoring of water plants in different regions, resulting in a 40% increase in plant maintenance efficiency Engineered and deployed scalable frontend functionalities and backend PHP server utilizing MEAN stack technologies optimized database queries resulting in 80% reduction in server response time, gaining success in business analytics ProjectsImage Captioning Feb 2024 - May 2024 Fine-tuned pre-trained models such as CNNs and LSTMs, enhancing performance by 15%; leveraged NLP techniques to generate highly accurate descriptive captions, increasing user engagement by 25% Innovated image captioning models employing deep learning frameworks, resulting in a 22% increase in caption quality by preprocessing and cleaning 14,000 image and text data entries for superior model training Robust and Invariant Model Training with Data Augmentation and Regularization Feb 2023 - Apr 2023 Conducted rigorous testing of data augmentation strategies, resulting model robustness and reduced error rates Analysed 5 different alignment regularization methods, including cosine similarity, to enhance feature extraction processes; these enhancements led to a 20% improvement in processing speed for machine learning tasks Online Retail Database System Aug 2022 - Dec 2022 Included conceptual model techniques, using SQL server with SQL queries, database design and data architecture, efficient query writing, index deployment, attained 50% improvement in query performance, enhancing system responsiveness, user satisfaction Proficient in sophisticated Timeseries analysis and ETL techniques using procedural SQL languages; increased data processing speed by 50% and facilitated more accurate business forecasting Identification of Dental Caries Using Deep Neural Networks Aug 2022 Dec 2022 Mastered an application which identifies the emotions of user from a continuous speech using python libraries and OpenCV, Regression models such as CNN, RNN, TensorFlow and achieved 89% accuracy with efforts of teamwork Developed and led the implementation of an innovative dental imaging web application and website utilizing Python Flask, PyTorch and Neural networks to identify dental caries, resulting in 95% improvement in detection accuracy Applied machine learning algorithms, including neural networks, decision trees, and logistic regressions, to solve business problems and optimize model performanceCertifications Programming for Everybody (Getting Started with Python) University of Michigan Create Machine Learning Models in Microsoft Azure Microsoft Analyze data with Power BI Microsoft Google Data Analytics Google AI for Everyone Deeplearning.AI |
