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Sumedha Baghmar

@sumedhabaghmar

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Aspiring investment analyst skilled in data analytics, financial modeling, and strategic market research.

India

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What I'm looking for

I seek a role applying ML and risk analytics within a collaborative, data-driven team where I can build robust models, influence financial decisions, and grow into leadership.

I am a machine learning and risk analytics professional with hands-on experience building credit risk models, performing large-scale quantitative analysis, and developing interactive BI dashboards to drive data-informed decisions. I reduced validation cycle time by 20% through model evaluation frameworks and published peer-reviewed research on dehazing methods at VAMMAM 2025, demonstrating both technical rigor and academic contribution.

My background in Computer Science & Engineering from IIIT Vadodara is complemented by projects in credit risk, sales analytics, and M&A valuation, plus leadership experience organizing technical workshops and hackathons with GDSC. I bring strong programming skills (Python, R, SQL), finance and valuation expertise, and a track record of translating analytics into business impact.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Indian Institute of Information Technology Vadodara

May 2025 - Jul 2025 (2 months)

Conducted quantitative analysis on 10M+ financial records and engineered model evaluation frameworks that reduced validation cycle time by 20%; authored a peer-reviewed survey published at VAMMAM 2025.

Python Pandas NumPy scikit learn Model Evaluation Statistical Analysis Research Data Visualization

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology Vadodara

Bachelor of Technology, Computer Science & Engineering

2022 -

Activities and societies: Machine Learning research and internship experience; projects in credit risk analysis, sales analytics, and financial modeling; Management Volunteer at Google Developer Student Clubs.

Pursuing a Bachelor of Technology in Computer Science & Engineering with coursework and projects in machine learning, risk modeling, and data analysis.