AI Engineer with less than a year in Data Science, Machine Learning, and Cloud Platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
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.
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.
C Language Course
C-DAC
June 1, 2026 – Present
Flutter Workshop
Unknown
June 1, 2026 – Present
AI by Intel Workshop
Intel
June 1, 2026 – Present
AI Fluency: Framework & Foundations
Anthropic
June 1, 2026 – Present
Claude 101
Anthropic
June 1, 2026 – Present
Introduction to Agent Skills
Anthropic
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.