Statistical Analysis: Strong background in statistics, probability theory, hypothesis testing and regression analysis

Data Mining: Extract relevant information from large datasets by using clustering, classifications and association rule mining.

Machine Learning: Familiar with various machine learning algorithms, including supervised and unsupervised learning.

Programming; Proficient in Python, R and SQL.

Data Visualization: Able to create effective visualizations of data using Tableau, Neo4j or Matplotlib.

Big Data Technologies: Familiar with big data technologies like Hadoop, Spark, Kafka, and NoSQL databases.

Operating Environments: Linux / Windows / Cloud computing

Soft Skills: Communication, Problem-solving, Collaboration

Additional Data Science Skills: NLP, AI, Modelling, Prediction