Sherlock Abdul

Detail-oriented graduate with strong written communication, problem-solving, attention to detail, and structured information-handling skills. Comfortable learning service procedures, explaining information clearly, documenting interactions, and identifying issues that require escalation. Seeking a fully remote Customer Support / Live Chat Support role.

Data Science Intern at Codec Technologies India (2025-10 – 2025-11)

• Built a real-time Twitter Sentiment Dashboard using Python (TextBlob/VADER) and Matplotlib, processing live tweet streams to classify sentiment with ~82% accuracy.
• Developed a Customer Churn Prediction model using scikit-learn on 7,000+ records, identifying key churn drivers to support targeted customer retention strategies.
• Performed exploratory data analysis on multiple real-world datasets, handling missing values, outliers, and class imbalance using SMOTE.

Bachelor of Engineering in Artificial Intelligence & Data Science – Methodist College of Engineering & Technology, Osmania University (2022 – 2026)