Entry-level AI/ML and Data Analyst with strong Python, data analysis, and machine learning skills
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated AI/ML and Data Analyst fresher with a strong foundation in Python, data analysis, and machine learning. Hands-on experience in data preprocessing, feature extraction, exploratory data analysis (EDA), and model building. Familiar with natural language processing (NLP), large language models (LLMs), and AI-driven automation concepts. Passionate about building data-driven solutions and contributing to innovative AI projects in a collaborative environment.
Er. Perumal Manimekalai College of Engineering, Hosur
Bachelor of Engineering (B.E.) · Mechatronics Engineering
August 1, 2021 – June 30, 2025
Basic NLP Project
January 1, 2026 – June 30, 2026
Performed text preprocessing, tokenization, and keyword extraction. Explored applications of NLP in analyzing textual datasets. Gained foundational understanding of language models and text analytics.
House Price Prediction System
July 1, 2025 – December 31, 2025
Built a regression model using Scikit-Learn for price prediction. Performed data preprocessing, feature selection, and model evaluation. Deployed the model using Streamlit for real-time predictions. Improved prediction accuracy through iterative experimentation.
Web Scraping & Data Processing
July 1, 2025 – December 31, 2025
Developed a web scraping tool using BeautifulSoup and Requests. Extracted structured data from e-commerce platforms. Performed data cleaning and preprocessing for analysis.
Insurance Risk & Claim Analysis
January 1, 2025 – June 30, 2025
Developed an interactive dashboard analyzing 10,000+ insurance records. Performed data cleaning, transformation, and preprocessing. Visualized KPIs such as claim trends, approval rates, and risk levels. Enabled data-driven decision-making and reporting automation.
Sales Data Analysis
January 1, 2025 – June 30, 2025
Analyzed sales datasets using advanced SQL queries. Used joins, aggregations, and filtering to extract business insights. Identified revenue trends, top-performing products, and customer behavior.
Python 101 for Data Science
IBM
January 1, 2026 – Present
Data Analysis with Python
IBM
January 1, 2026 – Present
Machine Learning with Python
IBM
January 1, 2026 – Present
Python Essentials for Data Science
IT Vedant
January 1, 2025 – Present
SQL Mastery
IT Vedant
January 1, 2025 – Present
Power BI Certification
IT Vedant
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data analysis and machine learning, including insurance, real estate, sales, and text analysis. The stated passion for AI/ML and continuous learning aligns with an innovative culture. However, all experience is academic, and there is no professional experience to assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, team collaboration, communication skills, time management, and being a quick learner. These indicate a positive operational fit for a collaborative and dynamic environment, though practical application in a professional setting is yet to be demonstrated.