Computer Engineering student learning Data Analytics. Building projects with Python, Excel, and SQL. Passionate about AI and intelligent data systems. 💻📈
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
claude-code-statusline
May 16, 2026 – Present
Native PowerShell statusline for Claude Code with Git status, model info, context tracking, and 1-command install.
View ProjectCustomer-RFM-Analysis
April 25, 2026 – Present
RFM Customer Segmentation and Data Analysis using Python.
View Projectdino-gpt-local
April 23, 2026 – Present
A retro-cyberpunk AI terminal powered by local Ollama models. Features a dynamic pixel-art dino avatar, CRT scanline effects, and a glassmorphism UI for a premium, private, and offline-first chatting experience.
View Projectecommerce-sales-delivery-dashboard
April 22, 2026 – Present
An interactive Excel dashboard analyzing e-commerce sales performance, delivery metrics, and regional revenue trends.
View Projectparkvault
April 5, 2026 – Present
parkvault — Offline-first Flutter parking management app with vehicle entry/exit, passes, valet, FASTag, and reports — zero backend, all local.
View ProjectChatBot-Project
March 28, 2026 – Present
This repository, titled DarkStar Chat, is a cinematic and privacy-focused chatbot interface designed to serve as a local bridge for Large Language Models (LLMs). It allows users to run AI models entirely on their own machines by connecting to local providers like Ollama and LM Studio.
View ProjectExpense-Tracker
March 27, 2026 – Present
A full-stack personal finance management application designed to track income, expenses, monthly budgets, and recurring transactions all in one place.
View ProjectTxt2Img
February 11, 2026 – Present
An open-source AI image generator featuring an AI prompt enhancer, local history saving, and multiple premium models (DALL-E 3, Gemini 2.5, Grok 2)—all running completely free without API keys.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, often open-source and focused on innovative solutions (e.g., AI image generation, local LLM interfaces). This indicates a proactive and curious mindset. The diversity of projects, from web development to mobile and data analysis, suggests adaptability and a willingness to learn new technologies. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit within a collaborative engineering environment.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative, self-direction, and a strong interest in exploring diverse technologies. The descriptions suggest an ability to work independently and deliver functional applications. However, without formal work experience or psychometric test results, it is difficult to assess stress handling, team collaboration, or communication clarity in a professional setting.