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Ph.D. at Lehigh University
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ML-Strategy-Design-for-Stock-Investment
August 2, 2022 – August 2, 2022
Developed a ML assisted stock trading strategy to long or short a stock by training a random forest learner (random tree with bagging), details see the Final-Project-Report.
View ProjectMy-LeetCode-Record
July 17, 2022 – November 1, 2022
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
View ProjectFull-Stack-With-Spring-Boot-And-React
January 17, 2022 – January 17, 2022
Developed a Full Stack Todo Management Application using React, Spring Boot and Spring Security Frameworks.
View ProjectAssess-Learners-of-Machine-Learning
December 24, 2021 – August 2, 2022
Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.
View ProjectRelational-Database-Design-for-Sales-Reporting-System
August 4, 2021 – August 2, 2022
Designed a MySQL database for a sales reporting system. Implemented by a FULL STACK Web Application using Bootstrap (Frontend UI) and Django (Backend framework).
View ProjectMobile-Android-App-Development
August 4, 2021 – August 2, 2022
Developed an Android app for job offers comparison, built a GUI to connect with the backend SQLite database in Android Studio
View ProjectAI-Agent-Design-for-IQ-Tests
August 2, 2021 – August 2, 2022
Designed an AI agent to pass Raven’s Progressive Matrices tests, details see the Final-Project-Report.
View ProjectBlock-World
June 14, 2021 – August 28, 2021
Python program that implements an agent that can solve Block World problems optimally (in the minimum number of moves) for an arbitrary initial arrangement of blocks (A-Z, 26 blocks maximum) using Generate & Test and Means-Ends Analysis techniques.
View ProjectMissionaries-and-Cannibals
June 1, 2021 – June 1, 2021
Python program that solves a scaled-up version of the classic Missionaries and Cannibals problem in AI with an arbitrary number of missionaries and cannibals using breadth-first-search (BFS) algorithm.
View ProjectEncyptor
May 18, 2021 – January 17, 2022
Developed a simple Affine Cipher app for Android system using Android Studio platform.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in AI/ML and general programming challenges. While diverse in technology, the projects are heavily skewed towards backend/AI/ML and general programming, with limited depth in dedicated frontend technologies beyond basic HTML/CSS/JavaScript in a full-stack context. This indicates a potential mismatch with a dedicated 'Frontend Developer' target role, suggesting a need for more focused frontend experience to align with typical frontend team dynamics and specialized skill sets.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.