Vansh Mehta
AI EngineerAI 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
AI Engineer with less than a year in Data Analytics & Machine Learning
Innovative AI Enthusiast specializing in Automation and Data Analytics, with a strong foundation in Machine Learning, Deep learning, and MLOps. Automation Experienced in building end-to-end AI systems and practical ML projects, applying theoretical concepts to real-world problems. Skilled in Python, Data Analytics, Data Visualizations with hands-on experience in intelligent automation. Passionate about building scalable systems and intelligent applications while continuously learning adapting to evolving technologies.
Charotar University of Science and Technology (CHARUSAT)
Bachelor of Technology · Artificial Intelligence and Machine Learning
August 1, 2023 – Present
Edunova Science Higher Secondary School
12th Grade · Science
June 1, 2023 – May 31, 2023
Seventh-day Adventist Higher Secondary School
10th Grade · Science
June 1, 2021 – May 31, 2021
Techmicra IT Solutions
Statistical Analytics (INTERNSHIP)
May 1, 2025 – July 31, 2025
Gujarat, India
Explainable AI for Portfolio Risk Management
June 1, 2026 – Present
Developed an explainable AI framework to analyze and manage financial portfolio risk, providing interpretable insights for investment decisions. Applied machine learning techniques to assess risk factors and improve transparency using explainability methods. Enabled better decision-making by combining predictive modeling with interpretable outputs for financial stakeholders.
View ProjectReal-time Data Engineering Framework for Business Intelligence
June 1, 2026 – Present
Built an end-to-end real-time data pipeline to process financial market data with minimal latency using open-source technologies. Designed ETL workflows to handle OHLCV data, ensuring efficient data ingestion, transformation, and storage. Enabled real-time analytics and visualization to support faster business intelligence and decision-making.
View ProjectDeforestation Detection using Deep Learning
June 1, 2026 – Present
Developed a deep learning model to detect deforestation patterns using satellite imagery data. Performed image preprocessing and trained models to identify environmental changes with high accuracy. Contributed to environmental monitoring by automating large-scale forest change detection.
View ProjectSpeech Emotion Recognition (SER) using Deep Learning
June 1, 2026 – Present
Built a deep learning model using CNN/LSTM architectures to classify human emotions from speech signals. Processed audio data and extracted relevant features to improve emotion classification accuracy. Applied TensorFlow/Keras for training and evaluating models for real-world voice-based applications.
View ProjectData base Management Systems, Data Structure and Algorithms using Java
NPTEL
June 1, 2026 – Present
AI Fluency: Framework & Foundation, Claude Code in Action
Anthropic
June 1, 2026 – Present
Generative AI: Prompt Engineering
Coursera
June 1, 2026 – Present
Machine Learning with Python, Exploratory Data Analysis for Machine Learning
IBM
June 1, 2026 – Present
Fundamentals of Accelerated Computing with CUDA Python
Nvidia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio (finance, environmental, speech recognition) and involvement in extracurricular activities like hackathons and workshops demonstrate a broad interest and engagement within the AI/ML community. The focus on 'innovative AI Enthusiast' and 'continuously learning adapting to evolving technologies' aligns well with a dynamic, growth-oriented culture. The publication of a research paper and securing funding for a robotics project highlight initiative and a drive for impact. However, the candidate is still pursuing a Bachelor's degree, which might indicate a need for mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's extracurricular activities, such as coordinating events and organizing workshops, suggest good organizational and leadership skills. The internship experience indicates an ability to work with clients and deliver data analysis solutions. The project descriptions are clear, but the resume lacks specific details on team collaboration within projects, which is important for operational fit in a senior role. The candidate's willingness to relocate suggests flexibility.