Charanya Devi P S

A detail-focused data analyst with knowledge in data warehousing, process validation, and business needs analysis. Proven ability to understand customer requirements and translate them into actionable project plans. Dedicated and hard-working with a passion for big data. A diligent worker with strong communication and task-prioritization skills.

• AI in Human Resource Management – NPTEL
• Data Analysis with Python – Cognitive Class (IBM)
• Data Visualization with Python – Cognitive Class (IBM)
• Fundamentals of Visualization with Tableau – Coursera
• Data Base Management System (DBMS) – NPTEL
• The Structured Query Language (SQL) – Coursera
• SAP Professional Fundamentals – Coursera

• Natural language Processing
• Machine Learning
• AI and Deep learning

• Customer Churn Prediction: Analyzed the churn rate of telecommunication customers by machine learning techniques and building a model for churn prediction.
• Object detection: Performed object detection on an image with a hugging face by using DETR model, PyTorch, PIL, and matplotlib libraries which detect the objects, visualize them, and give the count of objects as a result.
• Sentiment Analysis: Sentiment analysis for Amazon product reviews using NLP techniques and machine learning models, gives whether the review is positive or negative.
• Social media plagiarism- Plagiarism is checked between Twitter sample text data and user-defined data using pandas, NLTK, and SequenceMatcher libraries.
• Exploratory Data Analysis: EDA for CO2 emissions data using pandas and matplotlib libraries to identify data structures, hidden patterns, outliers, feature engineering, and model building.