Indira Singh

Data Analyst internship

kulthire•  November 2024 - Present•  Hyderabad, Remote

As a Data Analyst Intern at Kulthire, I leverage data-driven insights to support decision-making and optimize business strategies. My responsibilities include: Data Collection and Preparation: Gather, clean, and organize data from various sources to ensure high data quality and accuracy for analysis. Data Analysis and Visualization: Use statistical and analytical techniques to interpret data patterns and trends, presenting insights through dashboards and visualizations using tools like Excel, SQL, and Tableau (or other tools you use). Reporting and Insights Generation: Create reports and provide actionable insights to help guide strategic initiatives, with a focus on enhancing business processes and efficiency. Collaboration: Work closely with cross-functional teams to understand data needs and support decision-making with relevant analyses. Through this role, I’m developing a solid foundation in data analytics, honing my skills in data manipulation, visualization, and interpreting complex datasets for business impact.

Indira Gandhi National Open University

Computer Science, BCA•  July 2021 - October 2024•  CGPA: 7

Graduated with a Bachelor's in Computer Applications (BCA), where I built a solid foundation in programming, database management, and software development, all of which support my skills as a Data Analyst. My coursework covered essential topics like data structures, algorithms, and database systems, equipping me with the technical skills to work effectively with data. Throughout my degree, I developed proficiency in SQL, Excel, and basic programming languages (e.g., Python, Java), enabling me to manage and analyze data efficiently. Projects focused on real-world applications of data analysis, including designing databases, querying large datasets, and creating insightful reports, which directly prepared me for a career in data analysis. My education provided both technical skills and analytical thinking, essential for transforming raw data into valuable insights that drive business decisions.