Machine Learning Data Science

Likitha Reddy Mettu

Dallas, TX, *****; +1-214-***-****; *****.*******.*****@*****.***

https://www.linkedin.com/in/likithamettu/

OBJECTIVE:

Highly motivated Data Science graduate with advanced knowledge in Machine Learning and Data Analysis, seeking to contribute innovative solutions and drive impactful projects at a forward-thinking company. EDUCATION

The University of North Texas Dec 2023-Dec 2025(expected) Master of Science in Data Science

Fall 2024: Applied Machine Learning, Data Science Principles, Knowledge Discovery Spring 2023: Discovery with Big Data, Data Modeling, Information Security MLR Institute of Technology, India Aug 2018-Aug 2022 Bachelor of Technology in Information Technology

Coursework: Operating Systems, Database Management System, Computer Networks, Software Engineering, Python Programming

TECHNICAL SKILLS

Programming Languages SQL, Python, Java, C, JavaScript, HTML5/CSS3, PySpark Skills Data Structures and Algorithms, Object-Oriented Design, Git, Databases, Data Modeling, Data Analysis, Cloud DevOps

Technologies & Frameworks Machine Learning, Deep Learning, PySpark, Salesforce, Apex Programming, NLP, AWS, Confluence, Jira, GCP, Terraform, Jenkins, RapidMiner PROFESSIONAL EXPERIENCE

HSBC Software Development Aug 2022 – Jan 2024

Cloud Engineer

• Architected and managed scalable cloud infrastructure, ensuring high availability and robust security for enterprise systems.

• Streamlined the process of virtual machine (VM) creation and infrastructure deployment by implementing automation, achieving a 40% improvement in efficiency.

• Enforced stringent least privilege access policies, strengthening organizational security and compliance with industry standards.

• Engineered a cost-effective cloud-based data storage solution, driving a 30% reduction in data center operational costs.

• Orchestrated the seamless migration of over 1 petabyte (PB) of customer data to new infrastructure with zero downtime, ensuring business continuity.

• Implemented comprehensive monitoring and alerting systems, enabling proactive issue resolution and enhancing system reliability.

Capgemini Technology Services Jan 2022 – Jun 2022

Senior Analyst

• Developed and administered Salesforce solutions, serving as both a Salesforce Administrator and Developer to meet organizational needs.

• Designed and implemented a customized website using Salesforce, resulting in a 20% improvement in user engagement through enhanced functionality and usability.

• Collaborated with a team of 5 analysts to innovate and refine data collection methods, ensuring higher accuracy and efficiency in data acquisition.

• Streamlined workflows and automated processes within Salesforce, optimizing system performance and reducing manual effort.

• Managed user access and permissions in Salesforce, adhering to best practices for data security and compliance.

• Troubleshot and resolved technical issues related to Salesforce, ensuring uninterrupted system operation. PROJECTS

Comparative Analysis of Predictive Models for Breast Cancer Classification

• Conducted a comparative study of K-Nearest Neighbors (KNN), Naive Bayes, Logistic Regression, and Multi-Layer Perceptron (MLP) neural networks to classify breast cancer.

• Performed rigorous data preprocessing and exploration data analysis (EDA) to ensure clean and actionable inputs for the models.

• Implemented hyperparameter optimization to fine-tune models, improving their predictive performance.

• Achieved 98% accuracy with the MLP neural network, outperforming other models in the analysis.

• Gained hands-on experience in applying machine learning techniques to solve healthcare challenges.

• Demonstrated proficiency in tools and frameworks such as Python, Pandas, Scikit-learn, and TensorFlow/Keras for building and evaluating models. Facemask Detection and analysis using Computer Vision and Deep Learning Dec 2022

• Designed and developed an application to detect whether a person is wearing a mask using computer vision and deep learning techniques.

• Built a Convolutional Neural Network (CNN) to classify images of individuals wearing masks and not wearing masks.

• Conducted extensive model training, validation, and fine-tuning, achieving high accuracy in mask detection.

• Utilized tools and frameworks such as Python, TensorFlow/Keras, and OpenCV for implementation. CERTICATIONS

Generative AI Certification: Oracle

• Generative AI Techniques: Gained proficiency in creating and deploying generative AI models, including content generation using natural language processing (NLP), image generation, and text-to-speech systems.

• AI Model Fine-Tuning: Developed skills in fine-tuning pre-trained models to enhance performance and adapt to specific use cases.

• AI Ethics and Applications: Acquired knowledge in understanding the ethical implications of generative AI technologies and their practical applications in business and industry. Google Cloud Certified: Associate Cloud Architect

• Cloud Infrastructure Design: Mastered the design and implementation of scalable, secure cloud infrastructure using Google Cloud Platform (GCP) services like Compute Engine, Kubernetes Engine, and Cloud Storage.

• Deployment and Management: Gained experience in deploying and managing applications, ensuring high availability, and utilizing GCP tools for monitoring and logging.

• Cloud Security and Cost Optimization: Developed expertise in securing cloud resources using IAM roles and policies and optimizing costs through efficient cloud resource management. LEADERSHIP EXPERIENCE

Entrepreneur Cell- Board Member Jul 2020-Mar 2022

• Organized and led initiatives to foster entrepreneurship among students.

• Coordinated events and workshops, enhancing leadership and team management skills.

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