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AI Engineer with less than a year in Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual with experience in data analysis, machine learning model development, and AI-powered solutions. Proficient in Python, SQL, and C/C++, with a strong understanding of data science concepts and NLP pipelines. Demonstrated ability to contribute to complex projects, from data preprocessing and model training to API deployment and system design. Seeking to leverage analytical and technical skills to drive innovation and solve challenging problems in the data science domain.
Nilkamal School of Mathematics, Applied Statistics and Analytics, SVKM's NMIMS, Mumbai
Master of Science · Data Science
January 1, 2024 – June 1, 2026
School of Emerging Science & Technology, Gujarat University
Bachelor of Science · Data Science
January 1, 2020 – January 1, 2023
Mount Carmel High School
Senior Secondary - 12th
N/A – June 1, 2020
Mount Carmel High School
Senior Secondary - 10th
N/A – July 1, 2018
Cybercom Creation
Data Analyst Intern
January 1, 2026 – Present
India
Biztic Technologies
Data Analyst Intern
July 1, 2023 – December 1, 2023
India
EchoAD AI-Powered Product Advertisement Generator
April 1, 2026 – June 1, 2026
• Built a web application that takes a product image and a subject image as inputs and uses Google's Gemini model to generate a photorealistic composite advertisement image. • Implemented an asynchronous video generation pipeline using Google Veo, converting generated images into short advertisement videos. • Designed a credit-based usage system with automatic restoration on generation failure.
Lane Detection - Open CV
January 1, 2025 – April 1, 2025
• Built a computer vision-based lane detection and turn prediction system using Python, OpenCV, and NumPy for autonomous driving applications. • Applied Canny edge detection, Hough Transform, perspective transformation, and polynomial fitting to detect lanes and predict turns on various road types. • Generated a processed video overlaying detected lanes and predicted turns, demonstrating real-time accuracy and robustness under standard driving conditions.
Mental Health AI Chatbot
January 1, 2025 – December 1, 2025
• Built an AI-driven mental health chatbot by designing and curating a multi-source labeled dataset and developing end-to-end NLP pipelines for sentiment analysis and mental-health classification using transformer models like ROBERTa, BERT. • Processed large-scale social media data, trained and evaluated machine learning models for emotion and crisis detection, and integrated real-time screening capabilities for user interaction. • Implemented backend services using Python and Flask, ensuring data privacy, compliance throughout the project.
Predictive Modeling for IMDb ID Assignment Using Machine Learning
July 1, 2023 – December 1, 2023
• Built a machine learning model to predict IMDb ID assignment for movies using features such as genre, release date, runtime, description, and production details • Performed data preprocessing with one-hot encoding and addressed class imbalance using SMOTE to improve model performance • Evaluated classification algorithms including Logistic Regression, Decision Tree, Random Forest, and AdaBoost; deployed the best-performing model via API for real-time predictions
Probability Theory: Foundation for Data Science
Unknown
March 1, 2024 – Present
Supervised Machine Learning: Regression and Classification
Unknown
November 1, 2022 – Present
What is Data Science ?
Unknown
July 1, 2021 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from advertisement generation to mental health chatbots and autonomous driving components, indicates a broad interest in applying AI across various domains. This adaptability and willingness to explore different problem spaces align well with an innovative and dynamic work culture. The current enrollment in a Master's program in Data Science further shows a commitment to continuous learning and growth, which is a positive cultural indicator. However, the experience level is low, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and internships. The descriptions suggest an ability to work on end-to-end solutions, from data curation to model deployment. The focus on data privacy in the Mental Health AI Chatbot project indicates an awareness of ethical considerations in AI. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is difficult.