Image-HasTech

Data Science Intern

ADQ Services
  • Hyderabad
Salary: NA

Description

About ADQ Services Founded in 2018, ADQ Services specializes in helping businesses achieve strategic goals through innovative technology solutions. With expertise across multiple industries, the company delivers tailored, high-impact solutions focused on efficiency, growth, and measurable results. Job Summary ADQ Services is seeking motivated Data Science Interns to support real-world data science and machine learning projects. The intern will work closely with senior data scientists on data analysis, model development, and insight generation. Key Responsibilities Assist in data collection, cleaning, and preprocessing of large datasets Support the development, testing, and evaluation of machine learning models Perform data analysis to identify trends and actionable insights Create data visualizations and reports to communicate findings effectively Collaborate with cross-functional teams on ongoing data science projects Document methodologies, results, and learning outcomes Required Skills & Qualifications Recent graduate or currently pursuing a degree in Data Science, Computer Science, Engineering, or related fields Basic knowledge of Python, R, or other data science tools Understanding of machine learning fundamentals Strong analytical and problem-solving skills Good communication skills and a strong willingness to learn Education UG: Any Graduate PG: Any Postgraduate Key Skills Data Science • Machine Learning • Data Analysis • Python • Model Development • Testing • Data Collection • Visualization.

Role and Responsibilities

  • Key Responsibilities Assist in data collection, cleaning, and preprocessing of large datasets Support the development, testing, and evaluation of machine learning models Perform data analysis to identify trends and actionable insights Create data visualizations and reports to communicate findings effectively Collaborate with cross-functional teams on ongoing data science projects Document methodologies, results, and learning outcomes