Chetanaya Aggarwal
Frontend DeveloperLead Data Scientist
John Deere
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
John Deere
Frontend Developer
June 17, 2026 – Present
streamlit-langgraph-agent
August 23, 2025 – August 25, 2025
streamlit-langgraph-agent — GitHub repository
View Projectagile-ai-chat-assistant
April 27, 2025 – May 3, 2025
agile-ai-chat-assistant — GitHub repository
View ProjectVicharManthan
April 6, 2025 – April 8, 2025
A Streamlit application that allows users to interact with multiple LLM models simultaneously using Agno, comparing responses side by side.
View ProjectYouTubeSenseAI
March 24, 2025 – May 24, 2025
A lightweight LLM-powered tool for analyzing YouTube comments using keyword search, sentiment classification, summarization, and engagement trend detection. Filter by video, date, or language to gain deep insights into viewer feedback with the power of AI.
View ProjectTweetSenseAI
March 22, 2025 – April 5, 2025
An LLM-powered application for in-depth analysis of Twitter data based on keyword searches.
View Projectnews-ai-agent
March 9, 2025 – March 22, 2025
A Streamlit application that tracks brand news, performs AI-powered content analysis, and visualizes the results.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML and Python, with some exposure to TypeScript, Shell, Dockerfile, and CSS. While the current role is 'Frontend Developer', the personal projects lean heavily towards backend/AI development. This creates a potential mismatch for a pure Frontend Developer role, suggesting a stronger fit for roles involving AI/ML integration or full-stack development with a Python backend. The diversity of project types (all personal, mostly AI/LLM focused) indicates a strong interest in a specific domain but limited breadth in traditional frontend technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects demonstrate initiative and a focus on AI/ML, which could indicate a proactive and innovative mindset. However, without psychometric test results or interview data, these are speculative.