Sanika Patil
@sanikapatil
Data science intern passionate about AI and machine learning innovations.
What I'm looking for
I am a dedicated data science intern with a strong foundation in machine learning and AI technologies. Currently, I am contributing to the development of an AI-powered task optimizer that analyzes employee emotional states, resulting in a significant increase in team productivity. My academic background in Computer Science and Engineering has equipped me with the skills to implement machine learning algorithms for real-time emotion detection, which has effectively reduced burnout cases in the workplace.
Throughout my internships, I have engineered systems that optimize academic record management and developed automated workflows that enhance data accuracy. My work on projects like Autism Spectrum Disorder detection using machine learning has not only driven innovation in diagnostic precision but also contributed to early diagnosis efforts in clinical settings. I am passionate about leveraging data to create impactful solutions and continuously seek opportunities to grow and apply my skills in real-world scenarios.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Zidiodevelopment
Mar 2025 - Present (3 months)
Contributed to developing an AI-powered task optimizer that analyzes employee emotional states using multimodal data, resulting in a 22% increase in team productivity. Implemented machine learning algorithms for real-time emotion detection and stress management alerts, creating an early intervention system that reduced reported burnout cases by 18%.
Data Science Intern
Isandatasystems Pvt Ltd
Jan 2024 - Apr 2024 (3 months)
Engineered a gradebook system using Python and Pandas for optimizing academic record management, resulting in streamlined processes and improved data accuracy. Developed automated workflows leveraging Pandas to process large datasets efficiently, achieving time savings of approximately 15 hours weekly.
Education
Degrees, certifications, and relevant coursework
SVERI's College of Engineering
Bachelor of Technology, Computer Science and Engineering
Grade: 9.47 / 10
Pursued a comprehensive curriculum in Computer Science and Engineering, focusing on core principles and advanced topics. Gained foundational knowledge in programming, data structures, algorithms, and software development methodologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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