
Data Analyst with less than a year in data processing, visualization, and machine learning.
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Highly motivated Computer Science student with practical experience in data analysis, machine learning, and AI-powered solutions. Skilled in SQL, Python, Power BI, and various analytical tools. Proven ability to clean, transform, and analyze large datasets, automate reporting, and contribute to improved operational efficiency. Seeking to leverage strong problem-solving skills and a passion for data-driven insights in a dynamic professional environment.
Vellore Institute of Technology, Bhopal
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
RPS Public School, Dharuhera
Secondary - Higher Secondary
June 1, 2019 – May 31, 2021
Govshop India Private Limited
Research and Data Science Trainee
September 1, 2025 – December 1, 2025
New Delhi, Delhi, India
Jaquar and Company Pvt. Ltd.
Data Analyst Intern
May 1, 2024 – July 1, 2024
Gurgaon, Haryana, India
Power BI Olympic Dashboard
June 28, 2026 – Present
• Analyzed 120+ years of Olympic datasets using Power BI, DAX, and data modeling techniques. • Delivered insights on athlete performance, medal trends, and country-wise participation patterns.
View ProjectImagify (AI Image Generator)
June 28, 2026 – Present
• Built an AI-powered image generation application leveraging Gemini API with a full-stack MERN architecture. • Handled real-time inference requests, API integration, and data persistence to support scalable AI-driven workflows.
View ProjectLegal Document Analyzer
June 28, 2026 – Present
• Designed an NLP pipeline using transformer-based models to summarize legal documents and extract named entities. • Integrated OCR with text preprocessing to enable analysis of scanned PDFs and unstructured legal documents.
View ProjectRoad-Accident-Detection-Alert-System
June 28, 2026 – Present
• Developed an ML-based CNN Model computer vision system using OpenCV to detect road accidents from real-time video streams. • Evaluated model accuracy and latency metrics, integrating Twilio API for automated real-time emergency alerts.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from ML-based systems to full-stack AI applications and traditional data analysis dashboards, demonstrates a broad interest in technology and a willingness to explore different domains. Their academic background in Computer Science and internships align well with a data-driven culture. The mention of contributing to clubs suggests an ability to engage in collaborative environments. The candidate's profile indicates a good fit for a dynamic, growth-oriented team.
Soft Skills & Operational Fit
The candidate's project descriptions and achievements suggest a proactive approach to learning and problem-solving. Participation in tech and sports clubs indicates teamwork and leadership potential. The ability to automate reporting and improve operational efficiency points to a results-oriented mindset. However, without direct interview data, a comprehensive assessment of communication and collaboration in a professional setting is limited.