We are seeking a highly motivated and detail-oriented individual to join our team as a Data Analytics Intern. This internship offers a valuable opportunity to gain practical experience in data analysis, visualization, low code no code software & app development, and interpretation within a professional environment. As a Data Analytics Intern, you will have the chance to work on real-world projects, contribute to data-driven decision-making processes, and develop your skills in data analytics tools and techniques.

• Collaborate with the data analytics team to collect, clean, and analyze large datasets.

Assist in developing and implementing data models, algorithms, and statistical techniques to extract meaningful insights.Create clear and concise data visualizations, reports, and dashboards to effectively communicate findings to stakeholders.Work with various data analysis tools and technologies to process and manipulate data efficiently.Learn and develop low code, no code platform software’s & apps.Support the team in identifying patterns, trends, and correlations in complex datasets.Conduct research to explore new data analytics methods, tools, and best practices.Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.Assist in quality control and data validation processes to ensure accuracy and integrity.Document data analysis processes, methodologies, and findings for future reference.

Qualifications & Experience:

• Currently pursuing a degree in Data Science,   Computer Science, Civil , Highways , Structure or Transport Engineering field.
• Any programming language experience (e.g., Python, R, SQL, Java , C#, C, etc.).
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Proficient in Microsoft Excel  and other MS office tools.
• Excellent communication and teamwork abilities.
• Ability to learn quickly and adapt to new technologies.
• Ability to work independently as well as collaboratively in a team environment.
• Prior experience with data analysis projects or internships is a plus.
• Enthusiasm for working with data and a strong desire to learn and develop new skills.