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Data Science with less than a year in Machine Learning, Deep Learning, and Data Visualization.
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 Science postgraduate student with hands-on experience in Python, SQL, Machine Learning, and Deep Learning. Skilled in end-to-end data analysis from data cleaning and EDA to building ML/DL models and presenting insights through Power BI and Tableau dashboards. Built an AI-powered notebook assistant (LearnLoop) using LLMs and Groq API. Passionate about solving real-world problems through data-driven decision making.
Gujarat University – CPC, Centre for Professional Courses
M.Sc. in Data Management & Visual Insight · Data Management & Visual Insight
August 1, 2024 – Present
Gujarat University – CPC, Centre for Professional Courses
B.Sc. in Data Management & Visual Insight · Data Management & Visual Insight
August 1, 2021 – June 30, 2024
LearnLoop - AI-Powered Notebook Assistant (LLM Project)
June 1, 2026 – Present
Built an AI-powered notebook assistant similar to NotebookLM that lets users interact with their notes using natural language queries. Integrated Groq API with LLM backend to enable fast, context-aware responses over user-uploaded content. Implemented document ingestion, chunking, and retrieval pipeline to support accurate question answering.
Plant Disease Detection - Image Classification (ML/DL Project)
June 1, 2026 – Present
Developed a CNN-based deep learning model to classify plant leaf diseases from images with high accuracy. Applied image preprocessing and augmentation techniques (rotation, flipping, zoom) to improve model generalization. Evaluated model performance using accuracy, precision, recall, and F1-score metrics on validation dataset.
Road Accident Analysis - Exploratory Data Analysis (EDA Project)
June 1, 2026 – Present
Cleaned and preprocessed a large road accident dataset to handle missing values, outliers, and inconsistencies. Performed in-depth EDA to identify accident trends by time of day, location, weather, and road type. Visualized key correlations and patterns using heatmaps, bar charts, and time-series plots for actionable insights.
Data Science Job Simulation
Forage
January 1, 2025 – Present
What is Data Science?
IBM
November 1, 2024 – Present
Python Pandas
Great Learning
August 1, 2024 – Present
Python for Data Science, AI & Development
IBM
July 1, 2024 – Present
The candidate scored 82% on the 'Data Scientist — Artificial Intelligence' exam, indicating a solid grasp of the subject matter and strong performance in the assessed skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project portfolio demonstrates a proactive and self-driven approach to learning and applying data science concepts, which aligns well with an innovative and problem-solving culture. The diversity of projects (LLM, Image Classification, EDA) shows a broad interest in different data science domains. However, the lack of professional experience means there's no direct evidence of collaboration or team-based work in a corporate setting, which is a key aspect of cultural fit.
Soft Skills & Operational Fit
The psychometric test score of 196/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. However, without detailed insights into the psychometric test's specific sub-scores, a precise assessment of soft skills and operational fit is limited. The English test score of 75% indicates adequate communication clarity for professional settings.