Satashee Sharma
@satasheesharma
Tech enthusiast skilled in Python, ML & Web Dev, with experience in hackathons, AI projects, and open-source.
What I'm looking for
I am a Computer Science undergraduate specializing in Data Science, with a strong interest in Machine Learning, Natural Language Processing, and Web Development. Over time, I’ve worked on impactful projects such as an AI-powered Interview Bot, Resume Checker, Credit Card Fraud Detection System, and Student Assistance Chatbot.
I’ve actively participated in hackathons and open-source programs, including Smart India Hackathon (finalist), GirlScript Summer of Code (Contributor), and the Amazon ML Challenge. These experiences have sharpened my problem-solving, collaboration, and leadership skills, as well as given me exposure to real-world applications of AI and data-driven solutions.
My interests lie at the intersection of AI, data, and product building, where I can combine my technical expertise in Python, ML, and Web Development with my design thinking and creativity. I enjoy building solutions that not only solve problems but also create meaningful user impact.
Looking ahead, I aim to work in roles that challenge me to grow as a Data Scientist, AI Engineer, or Full Stack Developer, while contributing to innovative projects that push boundaries.
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
DsaStats
Sep 2024 - Present (1 year 1 month)
Completed over 10 full-stack tasks by utilizing provided resources for learning and implementation. Conceptualized and coded a real-time data visualization tool employing React.js, enhancing user engagement by simplifying statistical data interpretation for 200+ daily active users, thus improving user experience.
Education
Degrees, certifications, and relevant coursework
Pranveer Singh Institute of Technology, Kanpur
Bachelor of Technology, Computer Science (Data Science)
Pursued a Bachelor of Technology in Computer Science with a specialization in Data Science. Focused on core computer science principles and data-centric methodologies.
Availability
Location
Authorized to work in
Job categories
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