
AI Engineer with less than a year in Python, Machine Learning, and 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 Certificate Course Graduate skilled in Python, SQL, Machine Learning, NLP, Power BI, and Generative AI. Built end-to-end ML and RAG applications using Streamlit, LangChain, FAISS, and LLMs. Motivated Data Science graduate seeking entry-level Data Scientist/Data Analyst/ML Engineer roles. Strong foundation in analytics, machine learning, visualization, and AI application development. To contribute to a forward-thinking organization by applying data science and AI skills to solve business problems while continuously learning modern technologies.
Sikkim Global Technical University (SGTU)
Bachelor's Degree
N/A – Present
Credit Card Customer Segmentation
June 30, 2026 – Present
Developed K-Means clustering model. Applied preprocessing and PCA. Built Streamlit dashboard.
Legal & Medical RAG Assistant
June 30, 2026 – Present
Built document Q&A system. Used LangChain, FAISS and LLMs. Semantic search over PDFs.
HR Policy Chatbot
June 30, 2026 – Present
AI chatbot for HR documents. Implemented vector search and conversational QA.
YouTube Video Summarizer
June 30, 2026 – Present
Transcript summarization and contextual Q&A.
Professional Certificate in Data Science & Artificial Intelligence
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI to diverse problem domains (customer segmentation, legal/medical Q&A, HR, video summarization), indicating a broad curiosity. The focus on personal projects suggests self-motivation and initiative. However, with no professional experience, assessing cultural fit beyond technical interest is challenging. The candidate is seeking an entry-level role, which aligns with their experience level.
Soft Skills & Operational Fit
The resume highlights 'Problem Solving', 'Teamwork', and 'Communication' as core competencies. However, without specific examples or behavioral assessment data, it is difficult to objectively evaluate the depth of these soft skills or operational fit. The candidate's experience level is listed as 0, suggesting a need for mentorship and structured guidance in a professional setting.