Shiash Info Solutions is seeking a highly motivated and enthusiastic Data Science Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience in the field of data science, working on real-world projects that leverage data analytics and machine learning to drive business insights and solutions. As a Data Science Intern, you will collaborate with experienced professionals, apply your academic knowledge, and develop practical skills that are essential… Show more Shiash Info Solutions is seeking a highly motivated and enthusiastic Data Science Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience in the field of data science, working on real-world projects that leverage data analytics and machine learning to drive business insights and solutions. As a Data Science Intern, you will collaborate with experienced professionals, apply your academic knowledge, and develop practical skills that are essential for a successful career in data science.Key Responsibilities:Data Collection and Cleaning: Assist in gathering data from various sources and perform data preprocessing tasks to ensure data quality and integrity.Exploratory Data Analysis (EDA): Conduct EDA to uncover patterns, trends, and relationships within the data, using statistical and visualization techniques.Machine Learning Model Development: Support the development, testing, and validation of machine learning models to solve business problems and improve decision-making processes.Data Visualization: Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn to communicate insights effectively.Reporting and Documentation: Prepare detailed reports and documentation to present findings and methodologies to stakeholders, ensuring clarity and reproducibility.Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to understand requirements and deliver data-driven solutions.Research and Innovation: Stay updated with the latest trends and advancements in data science and machine learning, and contribute innovative ideas to ongoing projects. Show less