Sudharsan

Data science student with hands-on experience in data mining, data visualization, and predictive modeling using tools such as SQL, Tableau, and scikit-learn. Proficient in programming language Python with a strong foundation in statistical analysis. Skilled in communicating insights to technical and non-technical stakeholders to drive effective decision-making. Seeking a challenging data science position to apply these skills and drive business growth.

- Data Mining  
- Data Analysis  
- Programming  
- Exploratory Data Analysis  
- Hypothesis Testing  
- Data Visualization  
- Model Building and Testing  
- Critical Thinking  
- Attention to Detail  
- Team Player  
- Time Management

• Data Science Internship - OASIS INFOBYTE
• Natural Language Processing (NLP) for Machine Learning: Essential Training
• Python - HackerRank
• SQL - HackerRank

• Determinants of Airbnb Prices in European Cities - Machine Learning (Regression)
  Objective: Developed an accurate machine learning model to predict Airbnb listing prices throughout Europe.
  Technologies: Python, Scikit-Learn, Matplotlib, various regression algorithms.
• Email Spam Detection - Natural Language Processing (Classification)
  Objective: Designed a natural language processing (NLP) model to effectively identify and filter spam messages in real-time, enhancing user experience and reducing phishing and fraud risks. - Technologies: NLTK, Scikit-learn, RNN, Word2Vec, Gensim, and classification algorithms
• Marketing Analysis - MySQL
  Objective: Conducted a comprehensive analysis of marketing campaign effectiveness, providing actionable insights from transaction data for a sustainable clothing brand.
  Technologies: MySQL, SQL queries for data extraction and analysis.
• Football Player Analytics - Tableau
  Objective: Delivered data-driven decision-making support for football organizations, aiding in talent recruitment, strategic planning, contract management, and improving overall team performance.
  Technologies: Tableau.