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Data Science with less than a year in Data Analytics, SQL, and AI/ML project implementation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain an entry-level position at a respected organization and upgrade my skills by utilizing my knowledge.
RTMNU
MTech
N/A – June 30, 2025
RTMNU
BE · Electrical Engineering
N/A – Present
Maharashtra State Board
HSC
N/A – Present
Maharashtra State Board
SSC
N/A – Present
Bidirectional Battery charger for electric vehicle
June 24, 2026 – Present
Design and develop an on-board bidirectional battery charger for Electric Vehicles (EVs) that enables both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) operating modes. Key Achievements: Successfully designed and developed a bidirectional battery charger that allows EVs to both draw energy from the grid and supply energy back to the grid. Implemented G2V mode, enabling efficient charging of EV batteries from the grid.
Credit Risk Analysis
June 24, 2026 – Present
This project aimed to predict loan disbursement based on the given data set.
Tunning of PID controller using partical swarm optimization method for speed control of DC motor
June 24, 2026 – Present
It demonstrates the implementation of a Particle Swarm Optimization (PSO) algorithm for tuning a Proportional-Integral-Derivative (PID) controller in DC motor speed control. Traditional tuning methods, like Ziegler-Nichols, often result in high overshoot and prolonged settling times. Simulation results indicate that the PSO-tuned PID controller significantly reduces overshoot, enhances rise time, and shortens settling time compared to conventional methods. These improvements lead to more accurate and reliable control systems.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in electrical engineering applications (battery charger, PID controller) and data science (credit risk analysis). While the primary focus has been academic, the willingness to learn and adapt, coupled with project diversity, suggests a potential for good cultural integration, especially in a role that values continuous learning and cross-disciplinary thinking. The target role of Data Science is partially aligned with the 'Credit Risk Analysis' project and listed skills 'Data analytics' and 'SQL'.
Soft Skills & Operational Fit
The candidate lists 'Adaptability and Willingness to Learn', 'Problem-solving skills & Attention to Detail', 'Team Collaboration & Communication Skills', 'Team Player', and 'Good Communication' as strengths. These indicate a positive operational fit and a proactive approach to learning and teamwork, which are valuable in a dynamic work environment.