Mahima Shetty
Data ScientistData Scientist | AI Engineer
LTIMindtree
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | AI Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LTIMindtree
Data Scientist
June 25, 2026 – Present
Vismaya-DemandOps
October 17, 2025 – November 21, 2025
Vismaya DemandOps - SuperHack 2025 Team: MaximAI
View ProjectAgentic-AI---Smart-Waste-Collection-and-Routing-Management
September 30, 2025 – October 31, 2025
SmartWaste is an AI-powered waste collection routing system using open-source tools. It features 2D map visualization with Leaflet.js, backend APIs with Python Flask, and intelligent routing agents built with LangGraph and Scikit-learn. The system dynamically optimizes routes based on simulated data for efficient city waste management.
View Projectgen_ai_hack_project
August 25, 2025 – September 21, 2025
project made for gen ai hackathon using GCP
View ProjectDriver_Distraction_Detection_ClassificationModel
September 13, 2021 – September 14, 2021
Driver_Distraction_Detection_ClassificationModel — GitHub repository
View ProjectSQL_EdvancerProjects
August 26, 2021 – August 26, 2021
SQL_EdvancerProjects — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous improvement and innovation. Participation in hackathons (SuperHack 2025, gen ai hackathon) suggests a proactive and team-oriented approach, which is positive for cultural fit. The diversity of projects indicates adaptability and a willingness to tackle different problem domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse problems, but collaboration and communication skills are not explicitly evaluated.