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Data Analyst with less than a year in AI/ML & Data Pipelines
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 Data Analyst and AI/ML Engineer with hands-on experience building end-to-end data pipelines, machine learning models, NLP systems, and Generative AI applications. Skilled in Python, SQL, statistical analysis, and deploying AI solutions using modern frameworks such as PyTorch, TensorFlow, and Hugging Face. Developed production-ready AI systems including document intelligence pipelines, medical chatbots, and resume parsers. Adept at data preprocessing, model optimization, visualization, and delivering insights for business decision-making.
Ramniranjan Jhunjhunwala College
Master of Science · Data Science and Artificial Intelligence
August 1, 2023 – June 30, 2025
Vidyalankar School of Information Technology
Bachelor of Science · Information Technology
August 1, 2020 – June 30, 2023
Cognifyz
DATA ANALYST INTERN
March 30, 2024 – April 30, 2024
India
Meriskill
DATA ANALYST INTERN
February 29, 2024 – March 29, 2024
India
AI Document Intelligence System (IDIS)
June 19, 2026 – Present
Built an end-to-end AI Document Extraction System using Streamlit, integrating OCR, entity extraction, table parsing and structured JSON generation. Implemented Generative AI summarization using transformer-based NLP/Vision models and LLM pipelines. Developed scalable inference pipelines with Hugging Face, PyTorch, OpenCV, and Tesseract OCR.
HEALTHCARE AI ASSISTANT
June 19, 2026 – Present
Built an ML-driven healthcare assistant using NLP models to analyze symptoms and generate medically aligned responses. Designed and integrated intent-classification and entity-extraction pipelines to improve diagnostic accuracy. Implemented an efficient inference workflow for real-time patient query processing using optimized model architecture.
Resume Tracker
June 19, 2026 – Present
Built an NLP-based resume parser using spaCy, PDFMiner, and fuzzy matching to extract structured candidate data. Designed a skill-matching engine using token similarity to map candidate skills to a master skill list. Developed a Streamlit ML app for real-time resume processing and structured data extraction.
Microsoft Data Analyst Associate(DA-100)
ICT Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI/ML applications (Document Intelligence, Healthcare AI, Resume Parsing), which indicates a proactive and innovative mindset. The internship experiences show practical application of data analysis skills in different domains (restaurant data, healthcare sales). This diversity suggests adaptability and a willingness to tackle varied challenges, contributing positively to cultural fit in a dynamic environment. The target role 'Data Analyst' aligns well with the practical experience, while the AI/ML projects suggest potential for growth into more advanced analytical or data science roles.
Soft Skills & Operational Fit
The candidate's resume highlights 'Teamwork, Communication, Problem Solving' as soft skills. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good operational fit for analytical roles requiring structured problem-solving. However, without direct assessment, the depth of these soft skills cannot be fully validated.