As a data science enthusiast with hands-on experience in machine learning and big data analytics, I excel at transforming raw data into actionable insights. During my internship at Jimmy Key, I developed a sales forecasting model using CatBoost, which involved data cleaning, transformation, and model optimization. I have a strong background in Python programming and am proficient in utilizing various machine learning algorithms. My passion for artificial intelligence and continuous learning drives me to stay updated with the latest advancements in the field. I am dedicated to leveraging data-driven solutions to enhance business processes and decision-making.
Programming Languages: Proficient in Python, SQL and R
Tools and Technologies: Experienced with tools like Hadoop, Hive, and Kafka
Visualization: Capable of creating visualizations using libraries like Matplotlib or tools like Tableau
Data Analysis: Proficient in analyzing complex datasets to extract meaningful insights
Data Cleaning: Skilled in transforming raw data into clean, structured formats suitable for analysis
Machine Learning: Experienced with algorithms such as gradient boosting, and familiar with model training and evaluation
Big Data: Knowledgeable in handling and analyzing large datasets