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Eshwari Thorbole

@eshwarithorbole

Sophomore data science student skilled in Python, data analysis, and practical machine-learning applications.

India
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What I'm looking for

I seek internships or early-career roles where I can apply Python and ML to build product-focused solutions, learn from mentors, and contribute to impactful research-driven projects.

I am a sophomore B.S. Data Science student at IIT Madras focused on building practical, product-focused solutions using Python, SQL, and basic machine learning. I conduct research on AI in cybersecurity, presenting findings at the IIT Madras Research Summit and synthesizing insights from academic literature to propose anomaly-detection approaches.

I have developed hands-on projects—such as a GUI-based restaurant bill calculator—and mentored peer learning communities in Python, statistics, and project work. I am known for fast learning, disciplined execution, clear communication, and a global mindset, and I seek opportunities to translate technical research into real-world impact.

Experience

Work history, roles, and key accomplishments

Indian Institute of Technology Madras logoIM
Current

Data Science Student

Indian Institute of Technology Madras

Jan 2024 - Present (2 years 5 months)

Pursuing BSc in Data Science with hands-on experience in Python and data analysis; researched AI applications in cybersecurity using LSTMs and federated learning and presented findings at a campus research summit.

Education

Degrees, certifications, and relevant coursework

IIT Madras logoIM

IIT Madras

Bachelor of Science, Data Science

2024 -

Activities and societies: Research on AI in cybersecurity (LSTMs, federated learning); presented findings at Research Summit; mentored peer learning community.

Sophomore Bachelor of Science in Data Science student with hands-on experience in Python, data analysis, and basic machine learning; presented research at IIT Madras Research Summit.

SS

Shripatrao Bhosale High School

Matriculate certificate / SSC, Secondary Education

Grade: 99.80%

Completed matriculation/SSC with a score of 99.80%.

Tech stack

Software and tools used professionally

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