Data Analyst with less than a year in AI and Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Information Science Engineering graduate with knowledge of Python, Excel, SQL fundamentals, and data analysis concepts. Experienced in building analytical and AI-based projects, including sales performance analysis and intelligent document processing systems. Skilled in data visualization, reporting, problem-solving, and extracting insights from data. Seeking an entry-level Data Analyst role to apply analytical skills and contribute to data-driven decision-making.
Yenepoya Institute of Technology
Bachelor of Engineering · Information Science and Engineering
November 1, 2022 – July 1, 2026
SuprMentr Technologies Pvt Ltd
Artificial Intelligence with Cloud Computing Internship
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Sales Performance Analysis using Excel and Python
June 1, 2026 – Present
• Developed a sales performance analysis project using Microsoft Excel and Python. • Created and analyzed sales datasets to identify product-wise and region-wise sales trends. • Utilized Excel Pivot Tables and charts to summarize and visualize sales performance. • Performed data analysis using Python Pandas to calculate key metrics and generate business insights.
Smart Document Analyzer (RAG)
June 1, 2026 – Present
• Developed a Smart Document Analyzer using Retrieval-Augmented Generation (RAG) for document-based question answering. • Implemented document chunking, embeddings, and semantic search for efficient information retrieval. • Enabled context-aware responses from uploaded PDF documents using Large Language Models (LLMs). • Improved document analysis by combining vector search with AI-powered response generation.
Selenium Login Automation
June 1, 2026 – Present
• Automated login functionality testing using Selenium WebDriver and Python. • Developed test scripts to validate user authentication, input fields, and navigation workflows. • Reduced manual testing effort by automating repetitive browser interactions. • Improved testing efficiency and reliability through automated test execution.
Multilingual Chatbot
June 1, 2026 – Present
• Built a multilingual AI chatbot using Python, Streamlit, and Groq API supporting 5+ languages. • Implemented session-based chat history management for continuous conversations. • Developed an interactive web interface for real-time AI-powered communication
AI Career Companion Using Machine Learning
June 1, 2026 – Present
• Developed an AI-based career guidance platform with job recommendations, resume builder, mock tests, and skill analysis features. • Implemented skill assessment and personalized career suggestions based on user profiles. • Designed a resume-building module to help users create professional resumes efficiently. • Integrated mock interview and career preparation tools to enhance employability and career readiness.
LaTeX Training
IIT Bombay Spoken Tutorial
June 1, 2026 – Present
Data Visualization: Empowering Business with Effective Insights
Tata Forage
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
Unknown
June 1, 2026 – Present
Java Training
IIT Bombay Spoken Tutorial
June 1, 2026 – Present
Rapid Development for AI Services
Cognitive Class
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in data analysis, AI, and automation, suggesting adaptability and a willingness to explore different technical domains. The personal projects and internship experience indicate a proactive learning approach. However, the experience level is entry-level, which might require more mentorship and integration into a team's established workflows. The focus on personal projects shows initiative, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, communication, teamwork, and attention to detail as soft skills. These are well-aligned with the demands of a Data Analyst role, which often requires collaborative problem-solving and clear communication of insights. The project descriptions indicate an ability to work on structured tasks and deliver tangible outcomes.