Knowledge Discovery Specialist

7 days ago

Shimoga, Karnataka, India beBeeData Full time ₹ 4,00,000 - ₹ 8,00,000

About the Company

Our company is a FinTech start-up developing innovative AI tools.

As an extraordinary opportunity for motivated students with a passion for extracting meaningful insights from complex datasets, we are seeking talented interns to contribute to data-driven decision making.

About the Internship:

Interns will engage in multiple mini-projects across various functional areas of our organization. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.

Key Responsibilities:

Primary responsibilities include working through a structured set of assignments to enhance understanding of data analytics methodologies and applications.

  • Gather data from various sources and databases.

  • Clean and pre-process data to ensure quality and usability.

  • Develop and maintain data pipelines.

  • Implement data validation procedures and quality checks.

Data Analysis & Modelling:

Apply statistical methods to interpret datasets, identify patterns, trends, and correlations in complex data, develop predictive models, conduct hypothesis testing, create data-driven solutions for business problems.

Data Visualization & Reporting:

Create interactive dashboards and visual reports, develop compelling data visualizations to communicate findings, present analytical insights to stakeholders, automate regular reporting processes.

Business Intelligence:

Transform raw data into actionable business insights, support decision-making processes with data-backed recommendations, monitor key performance indicators and metrics, identify opportunities for process optimization.

Capstone Project:

Complete an end-to-end data analysis project including problem definition, data collection and preparation, analysis and modelling, visualization of results, and recommendations based on findings.

What You Will Learn:

Gain practical experience with data analysis tools and techniques, hands-on skills in data visualization and dashboard creation, strong analytical and problem-solving abilities, effective communication of technical findings to non-technical audiences, knowledge of AI and machine learning applications in data analytics.

Who Should Apply?:

Motivated student or fresh graduate from any academic discipline, strong analytical and quantitative skills, basic knowledge of data analysis tools, interest in working with data and deriving insights, willingness to self-learn and work in a fast-paced environment.

Internship Details:

Duration: Self-paced option of 1 month or 2 months within a period of 4 months provided.

Internship type: Unpaid

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