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Data Analyst with 2+ years in Data Analysis, Visualization & Machine Learning
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 with 2+ years of experience in data analysis, visualization, and business intelligence. Actively transitioning into Data Science with hands-on experience in Machine Learning, Computer Vision, and NLP projects. Proficient in Python, SQL, Power BI, and AWS with proven ability to extract actionable insights from complex datasets. Currently pursuing advanced Data Science education to strengthen ML fundamentals and statistical modeling capabilities.
Kannur University
Master of Computer Application
October 1, 2021 – May 1, 2023
Navajyothi College, Kannur University
Bachelor of Computer Applications
July 1, 2017 – April 1, 2020
Raw Data Technologies
Data Analyst
September 1, 2023 – January 1, 2026
Cochin, Kerala, India
ChatPDF Application with Local LLM & RAG
June 1, 2026 – Present
Built an end-to-end document Q&A system using Flask and locally hosted Large Language Models with Retrieval-Augmented Generation (RAG). Implemented PDF text extraction, cleaning, and intelligent chunking strategies to optimize document processing. Developed a semantic search pipeline using local sentence-transformer models for embedding generation and cosine similarity-based retrieval. Integrated local LLM with custom prompt engineering and RAG architecture for context-aware responses. Deployed as a Flask REST API with HTML interface, demonstrating full-stack ML system integration.
View ProjectTrain Wagon Counting System
June 1, 2026 – Present
Company Assignment | Implemented an automated wagon counting system using computer vision techniques to analyze railway video footage under varying lighting conditions. Implemented image preprocessing pipeline with grayscale conversion, Gaussian blur, background subtraction, edge detection, and contour analysis. Designed gap detection algorithms and false-positive filtering mechanisms to achieve accurate wagon identification across video frames.
AWS Certified Developer – Associate
Amazon Web Services
January 1, 2023 – January 1, 2026
Cultural Fit Analysis
The candidate's diverse project portfolio, including both professional data analysis experience and personal ML/AI projects, suggests adaptability and a strong drive for continuous learning and skill expansion. Their interest in Computer Vision, NLP, and MLOps aligns well with an innovative and growth-oriented culture. The AWS certification further indicates a commitment to modern cloud practices. The candidate's experience as a Data Analyst and their active pursuit of Data Science knowledge align with roles requiring both analytical rigor and an eagerness to explore advanced data techniques.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., gap detection in wagon counting, intelligent chunking for RAG). Their collaboration with cross-functional teams indicates good teamwork and communication for operational fit. The pursuit of advanced Data Science education and personal projects highlights a proactive and continuous learning mindset.