Data Analytics Study

Description:

Roles & Responsibilities:

- Collaborate with our esteemed data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.

- Utilize machine learning and data mining techniques to extract insights from large datasets, including Excel interface structure identification. ·

- 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 the latest modeling technologies like no-code databases and data mining.

- Collaborate with a team of experts to build machine learning pipelines for diverse use cases in commerce, financial markets, and procurement.

- Work with internal stakeholders to explore and understand business data, formulate hypotheses, and measure the impact of strategies using techniques like T-tests.

-Solve specific challenges and develop innovative solutions by adapting modeling technologies like bike share systems.

-Learn and apply complex analytical techniques using tools like Tableau.

- Prepare reports and presentations to effectively communicate data analysis processes and results.

Qualifications:

- Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.

- Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.

- Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.