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Data Science with less than a year in Machine Learning & AI, seeking to leverage skills in building
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI & Data Science professional with hands-on experience in machine learning, deep learning, natural language processing (NLP), and generative AI. Proficient in Python, SQL, and modern AI frameworks including LangChain, LangGraph, and RAG pipelines. Proven ability to build end-to-end ML models, automate data workflows, and integrate AI solutions into production environments. Adept at delivering scalable, data-driven solutions that align with business objectives.
Artificial Intelligence and Data Science
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Unknown
Data Science Internship
November 1, 2024 – April 1, 2025
India
Unknown
Full Stack Java Internship
April 1, 2024 – June 1, 2024
India
Fake News Detection using Machine Learning
January 1, 2025 – June 1, 2025
Engineered a multi-model text classification system using SVM, Decision Trees, and Random Forest to detect misinformation with high precision and recall. Applied TF-IDF vectorization and word embeddings for advanced linguistic feature extraction; implemented k-fold cross-validation to optimize model generalization.
Student Result Management System
January 1, 2025 – June 1, 2025
Designed and deployed a normalized relational database schema to manage student academic records, grade computation, and performance reporting. Authored complex SQL queries for multi-table joins, aggregations, and data validation, ensuring 100% data accuracy and consistency.
Python Programming Workshop
Unknown
June 1, 2026 – Present
Full Stack Java Development
ExcelR
June 1, 2026 – Present
Mastering AI & ML Core Skills
Unknown
June 1, 2026 – Present
Full Stack Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong focus on Data Science and AI, which aligns well with a Data Science role. The 'Full Stack Java Internship' indicates a breadth of interest beyond core Data Science, which could be seen as a positive for cross-functional understanding, but also suggests a less specialized focus. The projects are academic, which is expected for an entry-level candidate, but real-world business impact is not yet demonstrated. The candidate's profile suggests a learning-oriented individual, which is a good cultural fit for growth-focused teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and a focus on data accuracy and model generalization. The diverse internship experiences suggest adaptability and a willingness to learn new technologies. However, without psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.