Description

About the job Refonte Infini is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in Artificial intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide. Learn More: https://refontelearning.com Job Summary: Refonte Infini is offering a chance for eager individuals seeking to master Digital Marketing from basic to advanced levels, all while engaging in real-world projects across the globe. The RIGTIP (Refonte Global Training & Internship 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.

Role and Responsibilities

• 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.