Data Analytics Internship

Description:

Refonte Technology is offering a chance for eager individuals seeking to master Data Analytics from basic to advanced levels, all while engaging in real-world projects across the globe. Our program is structured to provide a flexible work setting, allowing participants to collaborate with a diverse global team spanning Oceania, Asia, Europe, and the Americas.

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.