Aspiring data science enthusiast with a foundation in statistical analysis, machine learning, and data visualization. Eager to contribute meaningful insights to drive data-driven decision-making.
β’ 2 years of hands-on data science experience π
β’ Proficient in Python, data analysis, AI frameworks (NumPy, Pandas, Scikit-learn, Jupyter) π
β’ SQL: SQL Server, Spark (basic) ποΈ
β’ Familiar with ML, deep learning, NLP π€
β’ Strong problem-solving and analytical skills π§
β’ Experienced in data visualization tools (Tableau, PowerBI) π
β’ Proficient in applied statistics π
β’ Quick learner in complex domains π
β’ Strong verbal and written communication in English βοΈ
β’ Enthusiastic about AI, Big Data, NLP, Ethical AI, Deep Learning, TinyML π
β’ Python for Data Science - Coursera, 2021
β’ The Data Science Course Complete Data Science Bootcamp - 365 Data Science, 2022
β’ Certified Data Scientist - IABACβ’, 2023
π Artificial Intelligence
π Big Data
π Natural Language Processing
π€ Ethical AI
π§ Deep Learning
βοΈ TinyML