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Pakistan Institute of Engineering and Applied Sciences (PIEAS)
Data Scientist
June 19, 2026 – Present
RAG-and-SQL-Query-Engine
March 12, 2025 – July 17, 2025
This repository contains implementations for executing SQL queries and integrating Retrieval-Augmented Generation (RAG) techniques. It showcases how structured data and language models can work together for enhanced information retrieval and response generation.
View ProjectCustom-LangChain-Chatbot-with-External-Information-Integration
September 12, 2024 – September 12, 2024
Repository showcasing LangChain features with Python, including Prompt Templates, Output Parsers, chaining, integrating external info (RAG), real-time streaming, and debugging techniques.
View ProjectData-Structures
March 26, 2021 – June 1, 2021
This repository contains the implemenation of various data structures, i.e. Linked List, Stack, Queues, Trees and Graphs
View ProjectDiminsionality_reduction_ML
December 6, 2020 – December 6, 2020
Contains implemenation of PCA, FDA, LDA and QDA
View ProjectDeep-Neural-Network
March 28, 2017 – November 3, 2024
A demonstration of Deep Neural Network implementation using TensorFlow.
View ProjectKernalized-SVM
March 23, 2017 – May 19, 2021
This repository contains the implemenation of Kernalized SVM from scratch using python. The work is done during the course "Machine Learning in Bioinformatic" (Spring 2017: Course Offered @ PIEAS))
View ProjectML-Using-Python
March 23, 2017 – March 30, 2021
Contain all Machine Learning stuffs. Training and Evaluation of the classifier. ROC curve , Confusion matrix and tuning best parameters of the classifier etc.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on individual technical implementations, which is common for personal projects. The current role as 'Data Scientist' at an institute suggests an academic or research-oriented environment. The diversity of projects indicates a strong interest in various ML/AI sub-fields. However, without more information on collaborative projects or work experience, assessing cultural fit for a dynamic industry role is challenging. The experience level is listed as 0, which contradicts the current 'Data Scientist' role, making it difficult to gauge professional maturity and fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.