Aditya Jagtap
Data ScientistPune, Maharashtra, IndiaMember since June 19, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RetailReturnAI
June 10, 2026 – Present
AI-powered retail return authorization system using Oracle 23ai, GPT-3.5-turbo, and Oracle Vector Search
View ProjectMLForge
February 4, 2026 – Present
Train and compare ML models without writing code. Upload CSV, auto-detect task type, find the best model, and export as pickle.
View ProjectDocument-Driven-AI-Solutions-For-Talent-Optimization
January 19, 2026 – Present
AI-powered resume parsing and candidate evaluation platform with automated interview scheduling and voice-enabled virtual interviews.
View Projectvoyager-ai
October 17, 2025 – Present
Voyager - AI-Powered Travel Planner An intelligent multi-agent travel planning system that creates personalized itineraries based on your preferences. Built with LangGraph Voyager uses specialized AI agents to research destinations, plan routes, recommend dining, and find accommodations.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML. The diversity of projects (MLForge, RetailReturnAI, voyager-ai, Document-Driven-AI-Solutions-For-Talent-Optimization) suggests a proactive and self-driven individual. However, without information on team-based projects or professional experience, it is difficult to fully assess cultural fit for a collaborative environment. The target role is Data Scientist, and the projects align well with the technical aspects of this role, but the lack of professional experience or team projects limits the assessment of cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information on collaboration, communication, or problem-solving in a team context.