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Data Science with 2+ years in AI/ML & 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
M.Tech student in Artificial Intelligence and Data Science with strong skills in Python, SQL, and Machine Learning. Experienced in building AI models, data pipelines, and analytics solutions using NumPy, Pandas, and Scikit-learn. Knowledge of Generative AI, LLM concepts, Retrieval Augmented Generation (RAG), REST APIs, and backend system design. Passionate about developing intelligent AI applications and scalable data-driven systems.
Sharnbasva University
M.Tech · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2026
PDA College of Engineering
B.E · Electronics & Instrumentation Engineering
August 1, 2018 – June 30, 2022
Singhania Systems Technologist Pvt Ltd
Graduate Trainee Engineer – PLC & SCADA Systems
January 1, 2024 – Present
India
Ensemble Learning for Weapon Recognition Using Wound Pattern Images
January 1, 2026 – January 1, 2026
Developed an image classification system using Python, OpenCV, and Scikit-learn ensemble models. Implemented image preprocessing, feature extraction, and model evaluation to improve prediction accuracy.
IoT-Based Military Assistance & Surveillance System
January 1, 2022 – January 1, 2022
Built an IoT surveillance system for real-time monitoring and threat detection. Integrated sensor data pipelines and automated alert mechanisms for defense monitoring.
Data Science with Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in diverse applications of AI/ML (military surveillance, weapon recognition). The current role as a Graduate Trainee Engineer in PLC & SCADA systems, while demonstrating technical aptitude, is not directly aligned with a Data Science target role, which might indicate a broader technical interest rather than a focused passion for data science, or a transitional career phase. The breadth of skills listed (programming, data science, databases, visualization) suggests adaptability, but the lack of professional data science experience limits the assessment of cultural fit within a data science team.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, team collaboration, communication, and adaptability as soft skills. These are generally positive for operational fit. However, the current professional experience is in PLC & SCADA systems, which is not directly aligned with a Data Science role, suggesting a potential gap in real-world data science operational experience.