Opportunity brief
Mode: Work From Office (Mandatory) Duration: 1 Month Employment Type: Full-Time Internship About the Internship Vishvena Techno Solutions Pvt. Ltd. is offering a 1-Month Full-Time Data Analytics & Data Engineering Internship for passionate candidates who already possess practical knowledge and hands-on experience in Data Analytics. Interns will work on real-world datasets and live analytics projects , contributing to meaningful business and social-impact initiatives. This internship is designed for candidates who can quickly understand requirements, analyze data, develop solutions, and contribute effectively from the very beginning. This is not a classroom training program or a beginner-level internship. What You'll Work On Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) SQL-based Data Extraction and Analysis Python-based Data Analysis using Pandas and NumPy Dashboard Development using Power BI or Tableau Business Intelligence and KPI Analysis Predictive Analytics and Data Modelling AI-assisted Data Analytics using modern AI tools Identifying Trends, Patterns, and Actionable Insights Working with Large and Real-World Datasets Eligibility We are looking for candidates who already have a decent understanding of Data Analytics and/or Data Engineering with hands-on execution experience . Applicants should have practical experience in: Writing and executing Python code SQL Query Writing Working with real-world datasets Data Cleaning and Transformation Exploratory Data Analysis (EDA) Developing dashboards using Power BI or Tableau Building data-driven applications, dashboards, or analytics projects Candidates should be comfortable understanding requirements, writing code independently, debugging issues, and delivering analytical solutions. Required Skills Python SQL Pandas NumPy Microsoft Excel Power BI or Tableau Data Cleaning & Preprocessing Exploratory Data Analysis (EDA) Data Visualization Basic Statistics Problem Solving Analytical Thinking Familiarity with AI tools such as ChatGPT, Gemini, or GitHub Copilot Preferred Qualifications B.E./B.Tech, MCA, M.Tech, B.Sc., M.Sc., or equivalent in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related disciplines. Candidates with completed academic, personal, internship, or professional Data Analytics/Data Engineering projects will be preferred. GitHub, Kaggle, or portfolio projects will be an added advantage. Location Preference This is a 100% Work From Office internship. Preference will be given to candidates currently residing in Bangalore or those who can relocate to Bangalore for the internship period. Selected candidates are required to work full-time from the Vishvena Techno Solutions office located at the IIT Alumni Centre Bengaluru (IITACB) throughout the internship. Remote or hybrid work is not available. Important Note This is not a beginner-level internship . Applicants should already possess practical knowledge of Data Analytics/Data Engineering and be comfortable writing, running, and debugging code independently. Candidates who have only completed theoretical courses without hands-on implementation may not be suitable for this internship. Selected candidates must attend the Bangalore office every working day and actively participate in project execution during the internship. Preference will be given to candidates who can join immediately and commit to the complete one-month internship. Internship Details Duration: 1 Month Mode: Work From Office (Mandatory) Location: IIT Alumni Centre Bengaluru (IITACB), Bangalore Working Days: Monday to Friday Working Hours: Full-Time Internship Certificate: Provided upon successful completion of the internship. Career Opportunity: Exceptional performers may be considered for future internships or full-time employment opportunities at Vishvena Techno Solutions Pvt. Ltd. Extension Opportunity: Based on the intern's performance, project requirements, and business needs, the internship may be extended for an additional period of up to 2 months . Selection Process Shortlisted candidates will go through: Resume Screening Technical Assessment Technical Interview Final Selection