Data Analyst with 1+ years in Data Science & Machine Learning
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 Analyst Intern with 1.0 years of experience in designing RAG systems, building BI chatbots, performing exploratory data analysis, and developing AI-powered solutions. Skilled in machine learning model deployment via API for real-time predictions and generating photorealistic advertisements using generative AI models.
Nilkamal School of Mathematics, Applied Statistics and Analytics, SVKM's NMIMS, Mumbai
Master of Science · Data Science
August 1, 2024 – June 30, 2026
School of Emerging Science & Technology, Gujarat University
Bachelor of Science · Data Science
August 1, 2020 – June 30, 2023
Mount Carmel High School
Senior Secondary - 12th · GSEB
N/A – May 31, 2020
Mount Carmel High School
Senior Secondary - 10th · GSEB
N/A – May 31, 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 30, 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 portfolio is diverse, covering computer vision, natural language processing, generative AI, and traditional machine learning, which aligns well with an innovative and dynamic work environment. The academic background and continuous learning through certifications suggest a growth mindset. The internship experiences, though limited in duration, show exposure to real-world business problems. The candidate's skills in Python, SQL, and Machine Learning are highly relevant to a Data Analyst role, indicating a good fit for data-driven teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The diversity of projects suggests adaptability and a willingness to tackle different problem domains. The descriptions are clear and concise, reflecting good communication skills in a technical context. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.