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Entry-Level AI/Data Science Engineer with Python and Data Analysis skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science student with strong proficiency in Python and a keen interest in Data Science and Artificial Intelligence. Skilled in data analysis, problem-solving, and building efficient applications using modern tools and technologies. Possesses a solid foundation in programming, data handling, and logical thinking, with the ability to adapt quickly and learn new concepts. Eager to contribute to data-driven decision-making and deliver impactful solutions in a dynamic work environment.
CGC University, Mohali
Bachelor of Technology · Computer Science and Engineering
N/A – Present
KVS, Palampur, Himachal Pradesh
Secondary School Education
N/A – Present
Personal Finance Tracker with AI Insights
June 6, 2026 – Present
Developed an intelligent personal finance tracker using Python and Flask that analyzes user spending patterns and provides AI-driven insights. Implemented expense categorization using NLP (TF-IDF) and machine learning, along with interactive dashboards for visualizing financial trends and improving budgeting decisions.
Contactless Monitoring System
June 6, 2026 – Present
Developed a contactless monitoring system to enable safe and efficient interaction without physical contact. Implemented real-time data processing using Python, enabling activity tracking and automated responses. Focused on improving safety, efficiency, and system automation.
AI Hand Gesture Controller
June 6, 2026 – Present
Built an AI-based hand gesture controller using Python and OpenCV to enable touch-free system control. Applied computer vision techniques for real-time gesture recognition, enhancing human-computer interaction and automation capabilities.
CompTIA Data+
CGG University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a contactless monitoring system, an AI hand gesture controller, and a personal finance tracker with AI insights, demonstrates a breadth of interest in applying AI to various domains. Participation in hackathons and bootcamps suggests a proactive learning approach and engagement with the tech community. The target role of 'AI Engineer' aligns well with the candidate's stated interests and project focus, indicating a good cultural fit for an innovation-driven environment. However, the lack of professional experience limits the assessment of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate highlights soft skills such as quick learning, problem-solving, team collaboration, adaptability, and time management. These are valuable for operational fit in a dynamic AI engineering role, suggesting a proactive and collaborative work attitude. However, these are self-reported and not validated by assessment data.