Data Science with less than a year in Web Scraping & Machine Learning
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Assessing your cultural and operational fit
Data Science and Data Analyst professional with hands-on experience in web data extraction, automation, machine learning, and backend API development. Experienced in building scalable web scrapers, data pipelines, and RAG-based systems using Python, Playwright, n8n, vector databases, and Docker. Strong background in Machine Learning, NLP, Computer Vision, and data-driven problem solving within Linux-based production environments.
C. Abdul Hakeem College
Bachelor of Computer Applications · Computer Applications
August 1, 2021 – April 1, 2024
MercuryMinds
Data Analyst Trainee
August 1, 2025 – February 1, 2026
Chennai, Tamil Nadu, India
Web Scraper Bot Automation & RAG System
June 25, 2026 – Present
Built an automated scraping system using Playwright + n8n to collect data from multiple dynamic websites. Stored structured data in PostgreSQL and unstructured content in Qdrant vector DB. Implemented RAG pipelines using Ollama, GPT-OSS, Mistral, and DeepSeek AI for semantic data retrieval. Dockerized all services and deployed on Ubuntu server.
View ProjectAbalone Age Prediction using ANN
June 25, 2026 – Present
Built an Artificial Neural Network (ANN) to predict abalone age. Applied feature scaling, label encoding, Batch Normalization, and Dropout to reduce overfitting.
View ProjectSkin Cancer Detection using CNN
June 25, 2026 – Present
Developed a CNN-based image classification model for skin cancer detection. Applied image preprocessing and data augmentation techniques. Achieved high accuracy in multi-class skin cancer classification.
View ProjectFake News Detection using Machine Learning
June 25, 2026 – Present
Built classification models using Logistic Regression and XGBoost. Applied NLP techniques such as tokenization and TF-IDF vectorization. Achieved 95% accuracy using ensemble learning.
View ProjectData Science (Full Stack) – Course Certification
SoftLogic System (SLA)
September 1, 2024 – March 1, 2025
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse areas of data science, including web scraping, NLP, computer vision, and traditional machine learning. The use of open-source tools and LLMs indicates a practical, hands-on approach. The future-dated internship suggests a proactive approach to gaining experience. The breadth of skills and project types aligns with a dynamic, problem-solving oriented culture.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, teamwork, leadership, and adaptability as soft skills. The project descriptions and experience suggest an ability to work on end-to-end data science projects, from data collection to model deployment. The internship at MercuryMinds, though future-dated, aligns well with the target role and demonstrates practical application of skills.