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AI Engineer with less than a year in Data Science, Machine Learning, and Cloud Platforms.
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Assessing your cultural and operational fit
Motivated Information Technology student with a strong foundation in Data Science, Machine Learning, and Analytics. Skilled in Python, SQL, Scikit-learn, Docker, AWS, GCP, and Power BI. Passionate about building intelligent systems and data-driven solutions that deliver actionable insights.
Swarnim Startup University
B.Tech · Information Technology
August 1, 2022 – June 30, 2025
Parul University
Diploma · Computer Science and Engineering
August 1, 2019 – June 30, 2022
Codenera Institute
AI, Data Science & GCP
July 1, 2025 – February 1, 2026
India
Brainy Beam Info-Tech Pvt. Ltd.
Data Science & Machine Learning Intern
June 1, 2024 – August 1, 2024
Ahmedabad, Gujarat, India
NLP-Based Chatbot using FastAPI
June 1, 2026 – June 1, 2026
• Developed an NLP-powered chatbot capable of intent classification using supervised machine learning. • Implemented text preprocessing pipeline (tokenization, stopword removal, lemmatization) using NLTK. • Trained and deployed a classification model using Scikit-learn with vectorization techniques. • Built RESTful API endpoints using FastAPI for real-time chatbot interaction. • Integrated Swagger UI for API testing and documentation. • Achieved accurate intent prediction with dynamic response generation.
Online Education Platform Analysis
June 1, 2026 – June 1, 2026
• Performed student engagement and completion analysis using SQL and Pandas. • Built Power BI dashboards including heatmaps and performance KPIs.
Sales Performance Analysis
June 1, 2026 – June 1, 2026
• Analyzed retail sales data using SQL (top products, revenue trends) and Pandas (cleaning, segmentation). • Developed an interactive Power BI dashboard for KPI reporting and customer insights.
Fake News Detection using NLP
June 1, 2026 – June 1, 2026
• Built a machine learning-based fake news detection system using Natural Language Processing techniques. • Performed text preprocessing including tokenization, stopword removal, and TF-IDF vectorization. • Trained and evaluated classification models to distinguish between real and fake news articles.
AI Fluency: Framework & Foundations
Anthropic
June 1, 2026 – Present
C Language Course
C-DAC
June 1, 2026 – Present
Claude 101
Anthropic
June 1, 2026 – Present
Introduction to Agent Skills
Anthropic
June 1, 2026 – Present
Flutter Workshop
Unknown
June 1, 2026 – Present
AI by Intel Workshop
Intel
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering NLP chatbots, fake news detection, and data analysis, shows a broad interest in applying AI/ML to different domains. The certifications from Anthropic and Intel indicate a commitment to staying current with AI trends. The target role of 'AI Engineer' aligns well with the candidate's stated skills and project focus on building intelligent systems and data-driven solutions. The breadth of skills, including MLOps, cloud, and various AI/ML techniques, suggests adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through various certifications and workshops. Project descriptions indicate an ability to work on end-to-end solutions, from data preprocessing to model deployment and API integration. The experience at Codenera Institute suggests exposure to structured learning and practical application of AI/ML concepts, including MLOps and cloud platforms. However, the candidate's professional experience is limited to an internship and a training role, which might imply a need for more hands-on, production-level operational experience.