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Python Engineer with less than a year in Machine Learning, Web Development, and Computer Vision.
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Assessing your cultural and operational fit
Highly motivated and results-driven B.Tech student specializing in Computer Science, anticipating graduation in May 2027. Possesses a strong foundation in Python, Java, and JavaScript, with practical experience in machine learning, web development, and computer vision projects. Eager to apply technical skills to solve complex problems and contribute to innovative solutions in a dynamic environment.
Sitare University
B.Tech · Computer Science
N/A – June 30, 2027
Fuzzy-Name-detector
May 23, 2026 – Present
Built a system to identify individuals in police records despite name variations, misspellings, and aliases. Improved record matching accuracy by handling inconsistent spellings and transliteration differences.
View ProjectRoom Finder
May 23, 2026 – Present
Built a web platform that aggregates room listings scraped data from multiple housing portals. It helped users quickly discover budget-friendly rooms with rent predictions and pricing trend graphs.
View ProjectCoding-Club-Website
May 23, 2026 – Present
Built the Sitare Coding Club website, focusing on the frontend and overall UI structure. Designed a clean, modern interface that boosts usability and reflects the club's identity.
View ProjectFake-News-Detection
May 23, 2026 – Present
Built a system to identify and classify fake news using machine learning and text analysis. Helped improve information reliability by detecting misleading or false content at an early stage.
Krishi-Buddy
May 23, 2026 – Present
Developed a lightweight web app that detects crop diseases from simple image uploads. It enabled instant, accurate disease detection, easing farmers' effort and improving early diagnosis.
View ProjectTraffic-Management-System
May 23, 2026 – Present
Built a real-time computer-vision system to detect traffic rule violations. Automated offender logging, fine generation, and instant alerts to authorities and owners.
View ProjectCultural Fit Analysis
The candidate's academic projects showcase a strong interest in applying technology to solve practical problems, ranging from web platforms to AI/ML applications. This diversity and initiative suggest a good cultural fit for an organization that values innovation, continuous learning, and hands-on problem-solving. Their focus on Python and related AI/ML technologies aligns well with roles requiring these skills.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach to learning and applying technical skills through a diverse portfolio of academic projects. Their ability to conceptualize and implement solutions for real-world problems suggests good problem-solving capabilities and a results-oriented mindset. However, without direct professional experience or specific assessment data, operational fit and soft skills like teamwork, communication in a professional setting, and adaptability under pressure remain unvalidated.