Job description

Company Description Anikaay Integration is a comprehensive business services provider that is dedicated to delivering top-notch services to help businesses succeed in the digital landscape. We offer a range of services including web development, lead generation, SEO, demand generation, and account-based marketing to help businesses achieve their goals. We are committed to delivering innovative solutions that align with your unique business needs. Role Description This is an on-site internship role for a Data Scientist based out of Pune. The Data Scientist will be responsible for performing data analysis, data visualization, statistics, and data analytics to identify trends and patterns in large datasets. The Data Scientist will collaborate with cross-functional teams and stakeholders to develop solutions to real-world business problems. SQL is a powerful language used for managing and querying relational databases. It allows you to interact with a database to create, retrieve... update, and delete data. SQL is used to define and manipulate the structure and contents of a database. There are many database management tools available that help with tasks like creating and managing databases, writing and running SQL queries, and monitoring database performance. Some popular ones include Microsoft SQL Server Management Studio, Oracle SQL Developer, MySQL Workbench, and PostgreSQL pgAdmin. ETL is a process used to extract data from various sources, transform it into a consistent format, and load it into a target database or data warehouse. ETL tools, such as Apache NiFi, Talend, and Informatica, automate this process and help ensure data quality and consistency. IBM Db2 is a family of data management products, including relational database management systems (RDBMS) and data warehousing solutions. It's often used in enterprise environments for storing and managing structured data. Data analysis involves examining data to discover useful information, draw conclusions, and support decision-making. It can be performed using various tools and techniques, such as data visualization, statistical analysis, and machine learning. Tools like Python (with libraries like Pandas and NumPy), R, and Jupyter Notebooks are commonly used for data analysis. Data modeling is the process of creating a structured representation of data, including its structure, relationships, and constraints. Data modelers use various techniques and notations to design data models, such as Entity-Relationship Diagrams (ERD) or Unified Modeling Language (UML) diagrams. Tools like ERwin, Lucid chart, and are often used for data modeling. Qualifications Data Science, Analytics, and Analysis skills Strong proficiency in Statistics and Data Visualization Proficiency in Python, R, SQL, and/or other programming languages Experience in using data analysis tools such as Tableau, Power BI, or equivalent tools Excellent communication and presentation skills Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, or a related field Experience with machine learning algorithms and natural language processing is a plus Ability to work collaboratively in a team environment,

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