Naveen Ganadi

About Naveen Ganadi

My journey in the field of computer science has been a dynamic and rewarding one. It all started at Stevens Institute of Technology, where I pursued a Master of Science degree in Computer Science from January 2022 to May 2023 in Hoboken, New Jersey. During this time, I immersed myself in a wide array of courses, including Machine Learning, NLP, Deep Learning, Data Mining, Artificial Intelligence, and ML Applications, setting a solid foundation for my career. Equipped with a thirst for knowledge and a passion for technology, I honed my technical skills across various domains. From software development using Python, Node JS, React Js, Mongo DB, SQL, to data analysis and machine learning with Numpy, Pandas, Matplotlib, Sklearn, TensorFlow, PyTorch, and more, I delved deep into the intricacies of these tools and frameworks. Deployment tools and IDEs like GIT, AWS – EC2, Lambda, VS Code, Anaconda, and Jupyter Notebook became my trusted companions in my journey. My professional experience further shaped my expertise. As an ML Engineer at WORKMTEINC, I had the opportunity to develop ML algorithms for client risk analysis using TensorFlow, enhance insurance claim predictions, and train and validate XGBoost models achieving 95% accuracy in risk profiling. I also delved into recommendation systems, implementing LSTM for resume parsing, processing over resumes monthly for enhanced job matching. Internships provided valuable hands-on experience, where I implemented feature selection techniques, automated ETL processes, and utilized deep learning for anomaly detection, among other tasks. These experiences not only broadened my skill set but also instilled in me a problem-solving mindset and a knack for innovation. My academic projects served as a playground for experimentation and innovation. From lung cancer prediction to face mask detection, facial expression detection, baby cry analysis, and house price prediction, each project presented its unique set of challenges, pushing me to explore new avenues and refine my skills further. Beyond academia and professional endeavors, I actively participated in workshops and hackathons, where I collaborated with like-minded individuals and stayed abreast of the latest developments in the field. These experiences not only enriched my learning but also fostered a sense of camaraderie and collaboration within the tech community. As I reflect on my journey, I\'m grateful for the opportunities, challenges, and growth it has afforded me.

Experience

1. Data Scientist

   Revscale Ai

   Sep 2024 — Present · Fort Lauderdale, FL, US

Education

• Stevens Institute of Technology

  Master's degree

  2022 — 2023