Finalist @SIH’25 | Semi-Finalist @Economic Times AI Hackathon’26 | Amazon ML Summer School’25 | ML, NLP, LLMs | Building AI Systems | CSE’27
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
C. K. Pithawala College of Engineering and Technology
Data Scientist
June 16, 2026 – Present
hetvidoshi22.github.io
June 15, 2026 – Present
hetvidoshi22.github.io — GitHub repository
View Projectmy-portfolio
June 15, 2026 – Present
Personal portfolio showcasing my journey in AI, Machine Learning, Data Science, projects, achievements, certifications, and professional experience.
View Projectbuilder-os
May 30, 2026 – Present
BuilderOS - A personalized onboarding and growth platform for developers. Focused on Belonging, Direction, and Momentum through goal-based recommendations, builder matching, and progress tracking.
View Projectmulti-source-trust-analyzer
May 2, 2026 – Present
Multi-source web scraping pipeline with trust scoring for blogs, YouTube, and PubMed
View Projectai-internship-recommendation-system
March 27, 2026 – Present
Data Mining project analyzing internship data using preprocessing, classification, association rule mining, and clustering techniques.
View Projectai-customer-support-automation
March 18, 2026 – Present
AI-powered customer support automation system that classifies queries, analyzes trends, and generates automated responses with a real-time dashboard.
View Projectkindle-bestseller-data-workflow
March 11, 2026 – Present
AI-assisted workflow for extracting and structuring data from the Amazon Kindle bestseller list.
View Projectcode-portfolio-evaluation-agent
March 10, 2026 – Present
Agentic AI system that analyzes GitHub repositories to generate portfolio scores, project insights, and actionable recommendations, enabling structured evaluation of technical candidates.
View Projectslack-ai-data-bot
March 3, 2026 – Present
An AI-powered Slack application that converts natural language questions into SQL using LangChain, executes them on PostgreSQL, and returns concise, formatted data insights directly in Slack with caching and safe query execution.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, which suggests initiative and a passion for learning and building. The projects cover a good range of data science applications, from recommendation systems to customer support automation and data extraction, indicating a versatile skill set relevant to various industry needs. The focus on AI/ML aligns well with a forward-thinking, innovation-driven culture. The candidate's current 'Data Scientist' role, even if future-dated, shows clear career alignment. The breadth of technologies used across projects (Python, JavaScript, HTML, CSS, Jupyter Notebook, TypeScript) indicates a willingness to explore different tools and adapt.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, keen on applying technical skills to solve real-world problems. The diversity of projects, from web development to AI/ML, indicates adaptability and a broad interest in technology. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.