Rutika Gangurde

Computer Engineering graduate (BE, 2025) with hands-on experience in Data Analysis, Machine Learning, and Python development. Proficient in SQL, Power BI, Pandas, NumPy, and Scikit-learn. Completed internships at IBM and AICTE EduSkills with real-world data workflows. Experienced in AI research and curriculum development. Seeking a full-time role in Data Analytics, Machine Learning, or related data-driven fields.

Trainee — Curriculum Developer & AI Trainer - CapOasis Technology Pvt. Ltd. - Maharashtra

(2025-07 - 2026-01)

• Designed and developed AI-based curricula for Grade 1–12 covering 15+ AI tools, managing full lifecycle from concept to LMS deployment.
• Researched 20+ emerging AI tools and frameworks to build industry-relevant, grade-wise learning programs.
• Delivered structured AI training sessions to 20+ franchise owners across Maharashtra, ensuring hands-on guidance and resource readiness.
• Collaborated with development team to align curriculum content with business goals of franchisee model expansion.

Data Analyst Intern - IBM

(2024-07 - 2024-08)

• Cleaned and analyzed datasets of 5,000+ records using Python and Excel to identify trends and anomalies.
• Built 3 interactive dashboards in Power BI to visualize sales, customer, and operational data.
• Generated actionable insights and presented findings through structured reports to the team.

Google AI/ML Trainee - AICTE EduSkills

(2024-07 - 2024-09)

• Gained hands-on exposure to core AI and Machine Learning concepts including supervised learning and data preprocessing.
• Worked with real-world datasets to extract insights and support foundational ML workflows using Python.

Software Trainee - HAL — Hindustan Aeronautics Limited

(2024-01 - 2024-02)

• Analyzed IFS ERP systems to identify process improvements and system optimization opportunities.
• Contributed to ERP performance evaluation and feature enhancement discussions with the technical team.

Self-Learning & Upskilling - Independent

(2026-01)

• Advancing SQL skills to intermediate level (joins, subqueries, window functions).
• Building data analysis projects using Python, Pandas, and Power BI on real-world datasets.
• Exploring Kaggle datasets for EDA and ML model development.

B.E. - Computer Engineering - MET Institute of Engineering (2021 - 2025)