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Data Science with less than a year in Data Analysis & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate specializing in data analysis, Python-driven data pipelines, and reporting. Proven track record of interpreting complex datasets, ensuring data accuracy, and building live dashboards to drive actionable business insights. Strong analytical problem-solver seeking to leverage expertise in Pandas, SQL, and data visualization to improve business performance.
RGPV University
B.Tech · Computer Science and Engineering (CSE)
N/A – June 1, 2026
QRACE, NIT Delhi
Software & Algorithm Research Intern
June 1, 2025 – August 1, 2025
Delhi, Delhi, India
DarkTrace Shadow AI | Data Pipeline & Reporting Dashboard
June 1, 2026 – Present
An end-to-end Python data pipeline designed to ingest, clean, and analyze over 50,000 unstructured data logs to identify trends. Engineered the data cleaning architecture using Pandas and built a live UI reporting dashboard to visualize patterns and support data-driven decision-making.
View ProjectQuantum-AI Verse | Interactive Data Visualization Platform
June 1, 2026 – Present
A full-stack, 3D interactive web application designed for visualizing and interacting with complex computational data structures. Developed the front-end visualization components and integrated backend APIs to interpret and display complex workflows dynamically.
View ProjectTrafficIQ | Real-Time Spatial Data Analysis
June 1, 2026 – Present
An automated data collection and analysis system for real-time traffic monitoring and spatial pattern identification. Architected the data ingestion layer to extract and process live camera feeds, achieving 98% accuracy in classifying and reporting dynamic traffic trends.
Azure Quantum Fundamentals
Microsoft Certified
June 1, 2026 – Present
Google Cloud Computing Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data science and AI, aligning well with a data-driven culture. Participation in hackathons and guest speaking roles suggests proactivity and a willingness to share knowledge. The diversity of projects (data pipelines, real-time analysis, interactive visualization) indicates adaptability and a broad technical curiosity. However, as an entry-level candidate, direct experience in a corporate cultural setting is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems and deliver functional solutions. The internship experience indicates a structured approach to testing and optimization. However, without direct assessment data on soft skills, it's difficult to fully evaluate collaboration, stress handling, or communication in a team setting.