AI Engineer with 1+ years in Python & Machine Learning
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Assessing your cultural and operational fit
AI/ML Engineer & Data Analyst with expertise in Python, SQL, Excel, Power BI, and Scikit-learn. Experienced in developing predictive models, AI-powered applications, and business intelligence solutions that transform data into strategic insights. Proven ability to manage the entire data lifecycle, from data preparation and analysis to model deployment, enabling data-driven decision-making and improving operational efficiency.
Sal Institute Of Technology & Engineering Research
Bachelor of Engineering
August 1, 2023 – June 30, 2026
Ranchhodlal Chhotalal Technical Institute
Diploma in Engineering
August 1, 2020 – June 30, 2023
InfoLabz IT Services Pvt. Ltd.
AI/ML Intern
January 1, 2026 – May 1, 2026
Ahmedabad, Gujarat, India
CSRBOX & IBM SkillsBuild
Agentic AI Intern
July 2, 2025 – July 16, 2025
India
Maxgen Technologies Pvt. Ltd.
Data Science Intern
July 1, 2025 – December 1, 2025
Ahmedabad, Gujarat, India
AI Demand Tourism Forecasting, The Ai Driven Tourism Demand Forecasting and Destination Overcrowding Prediction System
January 1, 2026 – April 1, 2026
Engineered a tourism forecasting system using Random Forest and XGBoost for overcrowding prediction. Developed a Streamlit dashboard with real-time crowd alerts and forecasting. Integrated Groq AI, weather APIs, and knowledge retrieval for recommendations. Deployed a production-ready ML application on Streamlit Cloud with Firebase. Designed an AI-powered trip planner with budget optimization and recommendations.
MediMind, AI Powered Mental Health Agent & Chatbot
July 1, 2025 – August 1, 2025
Built an AI mental health assistant using LLMs, RAG, FAISS. Designed Gradio-based dashboards for insight visualization. Implemented scalable cloud-ready architecture. Focused on risk prediction and decision support.
Python 101 for Data Science By IBM
IBM
June 1, 2026 – Present
Artificial Intelligence & Machine Learning
Unknown
June 1, 2026 – Present
Data Science & Analytics from NSDC
NSDC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive and innovative approach to AI/ML, aligning well with a dynamic AI engineering environment. The diversity of projects (tourism forecasting, mental health agent) shows adaptability and a broad interest in applying AI to different domains. The internship experiences, though short, indicate a willingness to learn and contribute in a professional setting. The candidate is still pursuing a Bachelor's degree, which suggests a strong learning orientation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The focus on deploying production-ready applications and designing scalable architectures points to an understanding of operational considerations. Collaboration is implied through internship experiences, though specific examples are not detailed.