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AI Engineer with less than a year in Deep Learning, Data Analysis & Computer Vision.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science graduate from Datta Meghe College of Engineering, Mumbai University with hands-on experience in data analysis, machine learning, automated reporting, and intelligent data-driven solutions. Proficient in Python, SQL, Excel, data preprocessing, model evaluation, and reporting, with the ability to analyse data, identify trends, and translate complex information into clear actionable insights. Self-driven, quick learner with strong analytical thinking, communication skills, and attention to detail. Open to roles in Data Analysis, Business Analysis, AI Operations, and Technology.
Datta Meghe College of Engineering, Mumbai University
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Maharashtra State Board
HSC
June 1, 2021 – May 31, 2022
Maharashtra State Board
SSC
June 1, 2019 – May 31, 2020
Brain Tumor Detection using Deep Learning
June 23, 2026 – Present
Trained a CNN model on MRI scan datasets to classify brain tumours using a complete data pipeline covering cleansing, normalisation, and augmentation. Analysed medical image datasets with attention to data quality, reliability, and model performance across the ML pipeline. Prepared structured performance reports tracking accuracy, precision, recall, and F1-score to communicate findings clearly.
AI Math Solver via Hand Gesture Recognition
June 23, 2026 – Present
Built a real-time AI system that captures hand gestures through a webcam and executes mathematical operations without keyboard input. Integrated MediaPipe, CV Zone, and OpenCV for low-latency gesture detection and hand landmark classification. Deployed an interactive Streamlit dashboard for live data visualisation and end-to-end AI solution demonstration.
Farm Fusion - Crop Recommendation & Yield Prediction
June 23, 2026 – Present
Analysed soil and weather datasets and performed data cleansing and preprocessing to ensure accuracy before modelling. Built regression models to forecast crop yield, supporting data-driven seasonal planning and operational decisions for farmers. Automated reporting outputs using Matplotlib, improving process efficiency and standardising data presentation for end users.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying AI/ML concepts to real-world problems (e.g., brain tumor detection, crop recommendation, gesture recognition). This indicates a strong interest in practical application and innovation, which aligns well with a dynamic, problem-solving oriented culture. The breadth of tools and techniques used across projects suggests adaptability and a willingness to learn new technologies. However, without professional experience, the cultural fit assessment is primarily based on academic initiative.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, communication, collaboration, and attention to detail as soft skills. These are crucial for an AI Engineer role, especially in understanding complex problems and communicating solutions. The project descriptions also reflect an ability to work through a complete data pipeline, indicating good operational fit for project execution.