
Bhagya Varshney
@bhagyavarshney
Machine Learning Intern at FlyRank who engineered ML models and built AI-powered expense tracking and study group platforms.
What I'm looking for
At FlyRank, I engineered and optimized machine learning models for real-world AI applications using Python, Scikit-learn, Pandas, and NumPy. I also worked on data preprocessing, feature engineering, and model evaluation.
I built Expenso, an AI-powered expense tracking website with budgeting and real-time analytics. Its AI statement parser achieved 95%+ transaction parsing accuracy, and it automates expense categorization and spending insights.
For my Study Group Finder personal project, I created a full-stack platform where students can connect and collaborate around shared academic interests. I implemented preference-based group matching, authentication, group creation, and real-time chat. I’m seeking Data Science and Machine Learning opportunities.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
FlyRank
Jul 2026 - Sep 2026 (2 months)
Engineered and optimized machine learning models for real-world AI applications using Python, Scikit-learn, Pandas, and NumPy. Performed data preprocessing, feature engineering, and model evaluation to improve prediction accuracy and model performance.
Education
Degrees, certifications, and relevant coursework
ABES Engineering College
B.Tech, Computer Science & Engineering (AI & ML)
2024 -
Grade: 8.0/10
Pursuing a B.Tech in Computer Science and Engineering with a specialization in AI and ML, maintaining a CGPA of 8.0/10.
G.K Silver Stone Sr. Sec. School
Class XII, General
Grade: 83%
Completed Class XII under the CBSE board with 83% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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