Data Science with less than a year in AI/ML & Generative AI.
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 Science professional with 6 months of hands-on experience in developing AI-driven applications, Machine Learning solutions, and Generative AI systems. Skilled in Python, SQL, Machine Learning, Lang Chain, RAG pipelines, and LLM-powered applications. Experienced in building intelligent automation systems, AI-powered recruitment platforms, financial analysis systems, and AI-driven LMS solutions.
Methodist College of Engineering and Technology
B.E. · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2024
IBM
Data Analyst Intern
January 1, 2026 – June 1, 2026
India
Mue AI Pvt Ltd
Data Science Engineer
December 1, 2025 – Present
India
AI-Driven Learning Management System (LMS)
January 1, 2026 – June 1, 2026
Developed an AI-powered LMS platform with intelligent content management and automation features. Integrated AI-based recommendations and intelligent query handling functionalities. Improved user interaction through AI-driven workflows and automation systems. Key Components: Python, LLMS, AI Automation, Web Technologies
FinSight AI Platform
January 1, 2026 – June 1, 2026
Developed an AI-powered financial analysis platform for intelligent investment insights and financial reasoning. Integrated Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for contextual financial analysis. Built automated summarization and intelligent querying systems using LangChain. Implemented vector search and semantic retrieval using FAISS embeddings. Key Components: Python, LangChain, LLMS, RAG, FAISS
HR Recruitment Platform using LangChain (LLM + RAG)
January 1, 2026 – June 1, 2026
Developed an AI-driven recruitment platform to automate resume screening and candidate ranking. Built a RAG pipeline using LangChain to match resumes with job descriptions using semantic search. Generated embeddings and stored them in FAISS for similarity-based retrieval. Created prompt templates for LLM-based candidate evaluation and recruiter queries. Reduced manual screening effort through intelligent candidate shortlisting. Key Components: LangChain, LLMS, FAISS, Embeddings, RAG Pipeline
PCAP - Python Programming Essentials
Cisco
June 1, 2026 – Present
CCNA - Introduction to Networks
Cisco
June 1, 2026 – Present
Generative AI Fundamentals
GeeksforGeeks
June 1, 2026 – Present
AI & Cloud Fundamentals
IBM Skill Build
June 1, 2026 – Present
SQL and Relational Databases 101
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical experience in AI and Data Science, aligning well with roles focused on innovation and advanced technology. The diversity of projects (LMS, FinSight, HR Recruitment) shows adaptability and a broad application of AI skills, which is beneficial for dynamic team environments. The certifications further indicate a commitment to continuous learning and skill development, which is a positive cultural attribute.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and application development, suggesting an ability to translate technical skills into practical solutions. The focus on AI automation and intelligent systems indicates a proactive approach to efficiency and innovation. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.