Data Analytics Training and Intern
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Job Description
About Refonte Technology:
Refonte Technology is a globally recognized IT corporation specializing in top-notch IT and Ed-tech services. Their expertise spans digital marketing, data science, data analytics, UI/UX design, web development, and app development. They are dedicated to innovation, excellence, and empowering talents worldwide.
Job Description: Data Analytics Training and Intern
Refonte Technology offers an unpaid “Data Analytics Training and Intern” program designed to take individuals from basic to advanced levels of data analytics expertise through hands-on, real-world projects. The program provides a flexible, remote work setting, allowing collaboration with a diverse global team across Oceania, Asia, Europe, and the Americas.
Projects: Interns will work on a variety of projects, including:
• Excel Project: Visualizing hospital datasets using Excel.
• Statistical Project: Analyzing live stock price data to study company stock behavior.
• EDA Case Study: Applying EDA techniques in risk analytics for minimizing lending risk.
• Bike-Sharing System Analysis: Examining bike-sharing data and usage patterns.
• IPL Data Analysis: Analyzing data from the Indian Premier League cricket tournament.
• Data Findings Communication: Presenting summarized results and key insights from projects.
• Global Movie Release: Contributing to the planning of a global movie release in 2024 by RSVP Movies.
Roles & Responsibilities:
• Collaborate with data science experts to collect, clean, and analyze datasets, developing skills in data preprocessing and visualization.
• Utilize machine learning and data mining techniques to extract insights from large datasets, including identifying Excel interface structures.
• Apply Python programming skills for Exploratory Data Analysis (EDA) in real business scenarios, focusing on risk analytics in banking and financial services.
• Design scientific tests and optimize model performance using no-code databases and data mining technologies.
• Build machine learning pipelines for various use cases in commerce, financial markets, and procurement.
• Work with stakeholders to understand business data, formulate hypotheses, and measure the impact of strategies using techniques like T-tests.
• Develop innovative solutions by adapting modeling technologies (e.g., for bike-share systems).
• Learn and apply complex analytical techniques using tools like Tableau.
• Prepare reports and presentations to communicate data analysis processes and results effectively.
Qualifications:
• Currently pursuing any degree (demonstrating a commitment to continuous learning).
• Exceptional written and verbal communication skills.
• Ability to work independently and as part of a team.
Note: This is an unpaid internship. Applicants will be contacted after application to discuss details and the joining process. The position is remote and based in the United States of America.
