hirre.io is seeking a motivated and enthusiastic Data Science & Analytics Interns Details Embark on a transformative journey with hirre.io as a Data Science & Analytics Intern, where you'll dive deep into the dynamic realms of Data Science, Business Intelligence, and Big Data. This fully remote internship offers an exceptional opportunity to apply your skills, contribute to real-world projects, and gain invaluable experience in a fast-paced, innovative environment, shaping your career in the exciting world of data. Key Responsibilities: • Conduct comprehensive data analysis using tools like Pandas, NumPy, and other relevant libraries. • Create insightful visualizations and dashboards using Power BI or Tableau to communicate findings effectively. • Perform Exploratory Data Analysis (EDA) to uncover trends, patterns, and anomalies within datasets. • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. • Assist in the development and implementation of machine learning models and algorithms. Skills and Qualifications: • Strong proficiency in data analysis techniques. • Experience with data visualization tools such as Power BI or Tableau. • Solid understanding of data science principles, including statistical analysis and machine learning. • Proficiency in Python and libraries such as Pandas and NumPy. • Familiarity with EDA techniques and data cleaning processes. • Excellent analytical and problem-solving skills. • Strong communication and presentation abilities. • Ability to work independently and collaboratively in a remote environment. • Eligibility: Open to freshers and candidates from all academic backgrounds. Perks: Potential for a job offer upon successful completion, a Certificate of Completion, a Letter of Recommendation, and flexible working hours. Application 🔗: https://unstop.com/o/Q5FbOy2?lb=Bnie7Jo Apply or share now with someone who may need this. Follow our channel for more job opportunities. https://whatsapp.com/channel/0029VaFeM718qIzsrf0rdX3x