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pChitral/README.md

Hi there 👋, I am Chitral Patil ! 😁

I am an Entrepreneurial AI/ML Software Engineer with a foundation in computer engineering, currently pursuing master's in Data Science at SUNY Buffalo. Co-founder of Propael, a game-changing job application tool, with a rich background in Silicon Valley startups and large-scale data pipeline architecture.

In the heart of Silicon Valley's dynamic startup ecosystem, I've carved a niche for myself as a forward-thinking Data Scientist and Entrepreneur. My journey began during my undergraduate studies in computer engineering, where I picked elective subjects that revolved around data science like Machine Learning, NLP, Artificial Intelligence & Soft Computing, Big Data & Analytics, and Data Warehousing & Mining. Motivated by these experiences, I am now pursuing a master's degree in data science from the University at Buffalo.

My journey is a blend of deep technical expertise and sharp business acumen, making me adept at both coding and understanding the nuances of the market. At CYQIQ, an early-stage startup, I wore multiple hats - from an AI/ML Software Engineer to diving deep into entrepreneurial realms. I honed skills beyond coding, delving into customer discovery, market sizing, and direct interactions with clients. This holistic experience has been instrumental in shaping my vision and approach.

My passion project, Propael, stands as a testament to my commitment to innovation. As a Chrome extension, Propael is revolutionizing job applications by offering one-click automation for ATS-friendly cover letters, providing exclusive insights like pinpointing the exact years of experience required for a job, and delivering tailored content through our unique RAG Architecture. We're not just another tool; we're a game-changer, recognized with the blue tick on the Google Chrome Webstore and proudly holding the Established Publisher Badge. With over 100 daily active users, we're making a tangible difference in the job application process.

Parallelly, as a Graduate Research Assistant, I've been instrumental in architecting data pipelines for a staggering 2.5 TB of data. My focus on fraud detection isn't just about data crunching; it's about optimizing storage and ensuring the integrity of the information we handle.

In essence, I'm not just a technologist; I'm a problem solver, an innovator, and a visionary entrepreneur. Always eager to connect with fellow trailblazers and disruptors. Let's shape the future together!

Languages and Tools:

React   FastAPI   MongoDB   JavaScript   Python   C   Pandas   Numpy   Scikitlearn   Tensorflow   HTML5   CSS3   jQuery   Bootstrap   MySQL   Git   GitHub   LATEX  

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