Sandalindu S.

Skills: - Proficient in programming languages such as Python, R, and SQL for data manipulation, analysis, and modeling. - Strong understanding of statistical analysis, hypothesis testing, and machine learning algorithms. - Experience with data visualization tools like Tableau or Power BI to effectively communicate insights. - Knowledge of big data technologies such as Hadoop, Spark, and distributed computing frameworks. - Familiarity with data cleaning, preprocessing, and feature engineering techniques. - Expertise in data mining, predictive modeling, and statistical techniques. - Experience with cloud platforms like AWS or Azure for scalable data processing and storage. - Proficient in data querying and database management systems like MySQL or PostgreSQL. - Strong problem-solving and critical thinking skills with a keen attention to detail. Strengths: - Strong analytical and quantitative skills to extract insights from complex datasets. - Ability to understand and translate business problems into data-driven solutions. - Excellent communication skills to effectively present findings and insights to stakeholders. - Strong collaborative and teamwork abilities, working with cross-functional teams. - Adaptability and a continuous learning mindset to stay updated with evolving data science techniques. - Creativity in approaching problems and finding innovative solutions. - Strong project management skills to handle multiple tasks and meet deadlines.