Data Science with 1+ years in Machine Learning, AI, and Data Analytics.
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Assessing your cultural and operational fit
Computer Science student specializing in Data Science and Analytics with hands-on internship experience building machine learning models, performing EDA, and developing LLM-based RAG systems. Proficient in Python, SQL, Streamlit, and deep learning. Experienced with Tableau for data visualization and business intelligence reporting. Passionate about building AI-powered solutions that solve real-world problems.
Charusat University, Anand, Gujarat
B.Tech · Computer Science & Engineering
August 1, 2024 – June 30, 2027
B&B Institute of Technology, V.V. Nagar
Diploma · Computer Engineering
August 1, 2021 – June 30, 2024
CodeAlpha
Data Analytics Intern
May 1, 2025 – Present
India
Tech Elecon PVT LTD
Data Science Intern
May 1, 2025 – June 1, 2025
India
Handwriting Generation using GANs
June 1, 2026 – Present
Designed and trained a Conditional GAN model in Python to synthesize realistic human-like handwriting; implemented generator-discriminator architecture with conditional input embedding. Improved output realism through iterative training strategies, model evaluation metrics, and hyperparameter tuning.
View ProjectRAG-Based Document Q&A System
June 1, 2026 – Present
Built a production-grade Retrieval-Augmented Generation pipeline on Google Antigravity platform using LangChain and a vector database, featuring advanced retrieval techniques and contextual enrichment for context-aware document question-answering. Implemented multi-model LLM orchestration to maximize answer accuracy and relevance across large and complex document sets.
View ProjectStyle Fusion - AI Virtual Try-On Pipeline
June 1, 2026 – Present
Developing an end-to-end computer vision pipeline using OpenPose and human body-parsing models to generate realistic virtual outfit previews from person and clothing images in Python. Building full pipeline covering pose estimation, body segmentation, and outfit warping for real-world fashion AI applications.
AI/ML with Geodata Analysis
ISRO (Indian Space Research Organisation)
June 1, 2026 – Present
MongoDB Workshop
ITC (Information Technology Center)
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia (Forage)
June 1, 2026 – Present
Introduction to Generative AI
Amazon Web Services (AWS)
June 1, 2026 – Present
Cloud Developing Training Badge
Amazon Web Services (AWS)
June 1, 2026 – Present
Cloud Computing - Elite + Silver Badge
NPTEL (IIT)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of projects, from generative AI (GANs, RAG) to computer vision and traditional ML, indicates a broad interest and adaptability, which aligns well with dynamic tech environments. Their engagement in multiple internships and certifications suggests a strong desire for continuous learning and contribution. The focus on building 'AI-powered solutions that solve real-world problems' aligns with a results-oriented culture. The personal projects demonstrate initiative and the ability to work independently, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and self-driven attitude through numerous personal projects and certifications. Their ability to work on end-to-end analytics projects and deploy models suggests good problem-solving and execution skills. The project descriptions indicate an understanding of iterative development and evaluation, which is crucial for operational fit in data science roles. However, without direct interview data, specific soft skills like teamwork, communication under pressure, or leadership cannot be fully assessed.