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Data Science with less than a year in Python, Machine Learning, and AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B.Tech graduate with expertise in Python programming, SQL database management, data analysis, and front-end web technologies. Quick learner with excellent problem-solving abilities and a strong interest in Artificial Intelligence (AI), Machine Learning (ML), and emerging technologies.
Sanjeevan Group of Institutions, Panhala
BTech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
P.B.Patil,Mudal
HSC
June 1, 2021 – May 31, 2022
Shri Shahu Kumar Bhavan Majare Kasarwada
SSC
June 1, 2019 – May 31, 2020
Learn Nex (Powered by Wipro DICE ID)
Data Science Intern
August 1, 2025 – October 1, 2025
India
Cognifyz Technologies, Nagpur
Data Science Intern
August 1, 2025 – September 1, 2025
India
Recommendation System
September 1, 2025 – October 1, 2025
• Developed a recommendation engine to suggest products and content based on user preferences using multiple algorithms • Implemented popularity-based and collaborative filtering approaches (both user-based and item-based) for personalized recommendations
AI Signal OptiSens
August 1, 2025 – June 1, 2026
• Built an AI-based adaptive traffic signal system that reduced simulated traffic congestion using Python, SUMO, and TraCI to optimize real-time traffic flow and reduce congestion • Implemented lane-wise density detection with real-time congestion monitoring. • Built a live web dashboard for traffic visualization using HTML, CSS, JS, and REST APIs
Programming in Python
NPTEL
June 1, 2026 – Present
Internet of Things
NPTEL
June 1, 2026 – Present
Database Management Systems
NPTEL
June 1, 2026 – Present
Barclays LifeSkills Program
GTT Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships align well with a Data Science role, indicating a strong interest and foundational understanding in the field. The academic projects, especially 'AI Signal OptiSens' and 'Recommendation System', show initiative and practical application of learned skills. The breadth of technical skills listed (Python, SQL, ML, DL, NLP, LLMs, Pandas, NumPy, Matplotlib) suggests a willingness to explore various aspects of data science. However, the experience level is entry-level, and the projects are academic, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple internships and certifications. Project descriptions indicate problem-solving skills and an ability to work on practical applications. The academic background in Computer Science and Engineering provides a solid foundation. However, without psychometric test results, specific insights into logical reasoning, work attitude, stress handling, or team collaboration are unavailable.