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DS Final Year - FAST NUCES
Data Scientist
June 21, 2026 – Present
customer-support-ai
June 15, 2026 – Present
An AI pipeline that classifies customer support messages, detects sentiment, and generates professional auto-replies using the Cohere API — all in a single LLM call per message.
View Projectturo-onboard
June 15, 2026 – Present
Paste a Turo listing URL → get a full operator onboarding package in 60 seconds. Scrapes listing data with Playwright, analyzes with Cohere AI, renders in Streamlit.
View Projectml-iris-classification-pipeline-
May 28, 2026 – Present
Supervised learning pipeline comparing KNN, Decision Tree, SVM, Logistic Regression & Ensemble on the Iris dataset. Includes SHAP explainability, cross-validation, GridSearchCV, PCA/t-SNE, and an interactive prediction interface.
View ProjectCapitalIQ-Rule-Based-Finance-Investment-Advisor-Chatbot
May 28, 2026 – Present
A production-quality rule-based AI chatbot built for the DecodeLabs AI Internship (Batch 2026). Covers 16 finance & investment intents using an O(1) dictionary-based IPO architecture, confidence scoring, conversation memory, and 61 unit tests — no ML dependencies.
View Projectharris-lk-vehicle-tracker
May 17, 2026 – Present
Feature-based vehicle tracker built with Harris corners + Lucas–Kanade optical flow. Handles background competition, partial occlusion, and frame-exit degradation in 4K footage — no deep learning, no GPU required.
View Projectefficiency-vs-performance-peft-research
April 27, 2026 – Present
A research-driven empirical analysis of efficiency vs performance trade-offs in PEFT techniques using DistilBERT, multi-dataset benchmarking, multi-seed evaluation, and statistical validation.
View Projectpk-crop-prices-analysis-and-trend-discovery
April 27, 2026 – Present
This project performs end-to-end data mining and analysis using machine learning, time series modeling, and clustering techniques. It includes data preprocessing, feature engineering, predictive modeling, and temporal pattern analysis to extract meaningful insights and evaluate model performance.
View ProjectAI-Assignment-2
April 3, 2026 – Present
Artificial Intelligence Assignment 2 implementing hill climbing, genetic algorithms, and a driver positioning problem using Python and Jupyter notebooks.
View Projectsnake-game-x86-asm
March 24, 2026 – Present
Classic Snake game written in x86 real-mode Assembly — runs in DOS VGA text mode with direct hardware rendering, BIOS interrupts, and zero external dependencies.
View ProjectMockExaminationApp
May 27, 2025 – Present
Mock Examination App is a Streamlit-based web platform designed for students to practice mock tests across various subjects. It features secure user authentication, randomized exam questions, real-time scoring, user progress tracking, and an admin panel for managing users and privileges.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for data science and AI, with numerous personal projects demonstrating initiative and a desire to learn and apply cutting-edge technologies. The projects cover a broad range of topics from traditional ML to LLMs and computer vision, indicating a versatile and curious mindset. The 'DS Final Year - FAST NUCES' role suggests an academic background aligned with the target role. However, the lack of team-based projects or professional experience makes it challenging to fully assess collaboration and cultural integration in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex problems independently. The diversity of projects suggests adaptability and a strong learning aptitude. However, without formal assessment data for communication, logical reasoning, or teamwork, it's difficult to fully assess operational fit and soft skills.