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Data Engineer || Love to explore & learn new technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
analysis-cloud-project
February 27, 2026 – Present
analysis-cloud-project — GitHub repository
View Projectspeech-generator-nlp
December 23, 2024 – December 23, 2024
This project is a Python-based interactive menu-driven application for recording, reading, and analyzing speech signals. It utilizes libraries such as pyaudio, wave, numpy, and matplotlib to perform operations like speech signal recording, visualization, and speech pattern generation.
View Projectfile-format-converter
November 14, 2024 – November 16, 2024
A Python-based tool for converting CSV files into JSON format. This converter dynamically loads CSV files, applies schemas for consistent data formatting, and saves them as JSON files. Ideal for processing multiple datasets efficiently, the converter offers a modular design and batch-processing capabilities.
View ProjectDataHidingApplication
April 24, 2024 – November 16, 2024
This Data Hiding Application enables users to embed and extract secret messages from images using the Least Significant Bit (LSB) algorithm. Built with a user-friendly GUI powered by Tkinter, the application simplifies the process of steganography.
View ProjectManiLLM
December 26, 2023 – November 16, 2024
ManiLLM is a web application built with Streamlit that leverages Google Generative AI to create an interactive user experience for exploring and generating content using advanced language models. This project allows users to harness the power of generative AI in a simple and user-friendly interface.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a self-driven approach to learning and development. The diversity of projects (NLP, data conversion, steganography, web apps) suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align with a data-centric role, but the breadth of technologies (Python, Java, JavaScript, C++, TSQL) indicates a generalist tendency rather than a focused data engineering specialization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are functional but do not provide insights into collaboration, problem-solving approaches, or communication style.