IT Network

Qualification:

• Graduated Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Provided Additional certifications or coursework in data science, machine learning, or AI are preferred
• 1-2 years of experience in data analysis, machine learning, or AI development, either through academic projects, internships, or entry-level positions • Hands-on experience with programming languages such as Python or R, and familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy)

Skill & Knowledge:

• Knowledge of machine learning algorithms and statistical modeling techniques
• Experience with data visualization tools such as Tableau or Matplotlib is a plus
• Proficiency in programming languages such as Python or R.
• Strong understanding of data manipulation, analysis, and visualization
• Familiarity with libraries and frameworks for data analysis and machine learning, such as Scikit-learn, TensorFlow, or PyTorch. • Basic understanding of SQL and database management.
• Critical thinking and problem-solving skills. • Strong communication and collaboration skills to work effectively in a team environment

Job Scope:

• Assist in collecting, cleaning, and preparing data for analysis, ensuring data quality and integrity
• Develop and implement machine learning models and algorithms for data analysis, predictive modeling, and AI applications
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations
• Evaluate and interpret the results of data analyses, and present findings to stakeholders in a clear and concise manner
• Stay updated with the latest advancements in data science and AI technologies, and actively participate in professional development activities
• Assist in collecting, cleaning, and preparing data for analysis, ensuring data quality and integrity