Data Analytics Internship at Refonte Learning AI

Projects You Will Work On:

• Excel project: Visualize hospital dataset using Excel
• Statistical project: Analyze live stock price data to study company stock behavior.
• EDA case study: Apply EDA techniques in risk analytics for minimizing lending risk.
• Bike-sharing system analysis: Examine bike-sharing data and usage patterns.
• IPL data analysis: Analyze data from the Indian Premier League cricket tournament.
• Data findings communication: Present summarized results and key insights from projects.
• Global movie release: Plan to release a movie globally in 2024 by RSVP Movies.

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.