This repository documents my 90-day structured practice plan for LeetCode, tailored for career paths in Data Science, Data Analysis, Machine Learning Engineering, and Business Intelligence Development.
- Solve 120 problems (90 Algorithm + 30 SQL) over 90 days
- Master core problem-solving patterns: Arrays, Strings, Hashmaps, Linked Lists, Trees, Graphs, Dynamic Programming
- Strengthen SQL foundations: SELECT, JOIN, GROUP BY, Window Functions, Optimization
- Simulate 12 weekly mock interviews
- Maintain a reusable knowledge base of problem-solving strategies
- Each day’s work is stored in its own folder:
solution.py— clean, commented Python codenotes.md— explanation, approach, complexity, patterns
- SQL solutions are organized in
/SQL - Mock interview reflections in
/Mocks - Progress tracked in an Excel/Sheets tracker
- Data Scientist / Analyst → SQL, Arrays/Strings, Dynamic Programming
- Machine Learning Engineer → Trees, Graphs, Dynamic Programming, System Design
- BI Developer → SQL-heavy and data transformation logic
By the end of 90 days, this repository will include:
- Approximately 120 solved problems with documented solutions
- A strong foundation in algorithms, data structures, and SQL
- Improved speed, accuracy, and problem-solving confidence for technical interviews