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Student Focus
Learn advanced Java (Streams, Lambdas), practice Trees & Heaps, solve medium LeetCode tree problems, improve interview etiquette, strengthen data interpretation, and build a Banking System Mini Project.
Mentor Focus
Review Streams & Lambda use cases, guide on Trees/Heaps with problem-solving hacks, track LeetCode solutions, provide interview etiquette feedback, and mentor progress on the Banking System Mini Project.
Java
Self Learning
Advanced OOPs concepts, Streams API, Lambda Expressions.
Mentoring
Mentor explains Trees as customer-account hierarchies, BSTs for quick transaction or account lookups, Heaps for processing high-priority loan requests, Tries for auto-suggest in payment beneficiaries, and Decision Trees for fraud detection in banking.
DSALGO (with Java)
Self Learning
Arrays & Strings (searching, basic problems).
Mentoring
Mentors guide students on how Arrays and Strings, beyond coding exercises, power real IT use cases like transaction processing, data validation, and log analysis. We help map DSA basics to practical scenarios so students understand not just the ‘how’, but also the ‘why’ behind them.”
LeetCode (Medium)
Self Learning
Trees & Binary Search Tree problems.
Mentoring
Mentor explains Trees as customer-account hierarchies, BSTs for quick transaction or account lookups, Heaps for processing high-priority loan requests, Tries for auto-suggest in payment beneficiaries, and Decision Trees for fraud detection in banking.
Soft skills
Self Learning
Interview Etiquette
Body Language
Mentoring
Mentor guides students on professional interview etiquette, confident posture, and effective body language to create strong first impressions.
Group Discussion(GD)
Self Learning
Student appear for Group discussion and topic will be part of mock GD
Mentoring
Mentor gives the GD topic, observes the discussion, and provides feedback on content, clarity, teamwork, and body language to improve structured communication.
Aptitude
Self Learning
Data Interpretation (Graphs, Tables)
Mentoring
Use examples such as tracking loan approvals through bar graphs, monitoring transaction volumes with line charts, and understanding customer demographics from tables in banking dashboards.
