Suchitha Marru

SUCHITHA MARRU-|- | GA, USA | LinkedIn Summary Having recently graduated with a Master’s in Intelligent Systems Engineering from Indiana University Bloomington, I gave over 2 years of experience in software development and data engineering roles. I specialize in building scalable data pipelines, developing APIs, and optimizing data models using tools like Mulesoft, SQL, Python and GCP. I specialize in machine learning and cloud computing, and skilled in Python, SQL, TensorFlow and GCP. I am seeking opportunities as Machine Learning Engineer to apply my expertise in AI and data systems. Education Luddy School of Informatics, Computing and Engineering Indiana University Master of Science in Intelligent Systems Engineering August 2022 – May 2024 Bloomington, Indiana, USA Courses: Machine learning for signal processing, Deep Learning, Autonomous Robotics, High-Performance Graph Analytics, CyberPhysical Systems, Engineering Cloud Computing, Elements of Artificial Intelligence, Wearable Sensors Experience Fifth Third | Data Engineer Remote, USA | August2024 - Present • Designed and maintained data pipelines for seamless transformation of financial data across internal systems. • Developed optimized SQL queries and scripts for data retrieval, processing and ensuring high performance and accuracy. • Assisted in automating ETL processes using python, improving data processing efficiency and reducing manual intervention. • Collaborated with cross-functional teams to troubleshoot data issues and implement solutions to enhance database operations. • Worked with cloud platforms like AWS for data storage and processing, utilizing tools such as S3 and RDS for scalable data management. • Ensured data integrity and security to company standards and compliance regulations. • Documented workflows, pipelines and processes for ease of maintenance and future scalability. Microsoft Teals Volunteer USA | August 2024 – Present • Guide and instruct students in the computer science, Artificial Intelligence and machine learning (AI/ML) course while enhancing their learning experiences. • Collaborate with the classroom instructor to develop computer science content. • Dedicate 3 hours per week to teaching, monitoring student progress, and planning future lessons with the team. • Assist in the classroom three times a week by providing direct support to students on assignments and offering additional help. • Work with other volunteers to provide resources and ensure that lessons run smoothly. • Contribute to expanding access to computer science education and support students' growth in this vital field. Reid Health | Data Engineer Intern Richmond, Indiana | May 2023 – August 2023 • Developed and maintained SQL queries for data analysis, optimizing database performance and enhancing data retrieval. • Reviewed and created the tableau dashboards and conducted data cleaning to ensure accurate reporting and insights. • Automated ETL processes using SQL and Python, improving efficiency and scalability for large datasets. • Leveraged AWS and GCP for data storage, analytics and Visualization. • Implemented triggers, stored procedures, and indexes to improve database performance. Apisero Inc. | Software Engineer Hyderabad, India | May 2021 – September 2022 • Designed and implemented REST and SOAP APIs using the Mulesoft integration platform, enabling efficient data transmission and systems-to-system communication for clients software. • Built and configured integration between systems using MuleSoft’s Anypoint Platform, for efficient data flow and interoperability. • Created unit tests, conducted testing, and debugged code for better reliability, performance and security of software solutions. • Developed scalable REST APIs using MuleSoft for backend integration, improving system efficiency and reducing data transmission delays. • Collaborated with cross functional team of architects, designers, and testers to deliver high quality solutions and documented code, processes, and integration architectures. • • Worked with JIRA for project management, Bitbucket and Git to manage source code. Contributed to develop backend functions using Java and supported web-based integration using JavaScript for APIdriven applications, ensuring efficient data transmission and system interoperability. Skills Programming Languages : Libraries / Frameworks : Tools / Platforms : Databases : Python, SQL, PL/SQL, HTML Matplotlib , TensorFlow, Scikit-learn, Keras, Pandas, NumPy, Seaborn, PyTorch Figma, VS code, GCP, Mulesoft Anypoint Platform, Bitbucket, Jenkins, Jupyter Notebook, Git PostgreSQL, MySQL, MS SQL Server, SQL Workbench. Projects/ Open-Source Predicting the smell of molecular compounds Python, TensorFlow, Graph convolutional Networks (GCNs) Estimated various odours of over 10,000 molecular compounds using Graph Convolutional Networks (GCNs), with potential applications in various sectors like food and beverage, environmental science, health care and research. Music Recommendation system Python, Scikit-learn, Collaborative Filtering Built a recommendation system using collaborative filtering techniques to suggest personalized music tracks based on user preference and listening history. Optimized algorithms to improve accuracy and relevance in recommendations. Parts-of-speech tagging Python, Hidden Markov Model (HMM) Categorized words in large text document into grammatical classes using HMMs and a simple model. The project achieved high accuracy in automating parts-of-speech tagging, demonstrating practical applications in natural language processing tasks. Missing Value Imputation Using Conditional GAN Python, TensorFlow, Keras, Conditional Generative Adversarial Networks (GANs) Addressed missing data by training a conditional GAN on MNIST dataset. The model predicted missing pixels with varying lambda values (0.1 and 10), enhancing data coherence and improving downstream analysis. Demonstrated through visualized results of imputed digit samples. Cloud-based Text-Search Engine with Map-Reduce Python, Google Cloud Platform(GCP), MapReduce Constructed a parallel map-reduce system with google cloud functions for a text – search engine, utilizing cloud storage and FaaS for efficient data processing. Executed map-reduce algorithms on google cloud VMs, highlighting distributed computing and scalability. Certifications • • Mulesoft Certified Developer – Mulesoft. Predictive Analysis – LinkedIn Honors & Awards • • Represented school team Captain in state level handball tournament, contributing to team’s success in securing 2nd place overall. Orchestrated dynamic house leaders hip initiative, introducing innovative concepts to ignite house spirit and drive engagement in inter-house competitions, resulting in 40% surge in participation rate.