Jeevika Kancherla Email & Phone Number

In a digital era where data is the new currency, I stand at the forefront, wielding cutting-edge tools and technologies to unlock actionable insights and engineer innovative solutions. My educational background, with a Master of Science in Computer Engineering from New York University and a Bachelor of Technology in Computer Science from Vardhaman College of Engineering, has been the bedrock upon which I've built a career characterized by curiosity, innovation, and a relentless pursuit of excellence.As a Research Data Analyst at NYU Langone Health, I've pushed the boundaries of what's possible with computational models, contributing significantly to cerebrovascular ischemia research. This role has been a perfect arena to apply and expand my skills in deep learning, data analysis, and cloud computing, using tools such as TensorFlow, PyTorch, Docker, Kubernetes, and Tableau. My work not only supports scalable computational modeling efforts but also propels the medical field forward, one predictive model at a time.My eclectic project portfolio highlights a deep expertise with cutting-edge tools and technologies central to modern data analysis, engineering, and software development. I've spearheaded a customer complaint processing system leveraging AWS services, applying GPT APIs for nuanced sentiment analysis. The resilience of large language models to cyber threats was meticulously evaluated using innovative tools like PromptBench and JAILBREAK. I've skillfully integrated AWS ElasticSearch and Rekognition into a photo search application, demonstrating my acumen in AI-based systems. Further, I architected a serverless chatbot with Amazon Lex, and navigated full-stack development through the creation of a Dockerized To-Do application with Flask and MongoDB. My deep learning proficiency is showcased in the AI-driven 8-bit LoFi Music Generation project and the CIFAR-10 image classification using an optimized ResNet architecture. These ventures not only reflect my adept use of Python, Java, TensorFlow, and PyTorch but also my versatile application of AWS, Docker, and Kubernetes, emphasizing a readiness to innovate and excel in dynamic tech roles.I am eager to join forces with peers who share a commitment to excellence and a vision for the future. I am keenly looking for roles where I can apply my passion and expertise in technology, specifically as a data analyst, data engineer, or software engineer. My goal is to join a team where innovative thinking, in-depth analysis, and robust engineering are at the forefront of creating impactful solutions.