AI Engineer with less than a year in Smart Metering Systems & Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate and Assistant Engineer with hands-on experience in smart metering systems, data analysis, and machine learning. Skilled in Python, SQL, and data-driven problem solving, with proven ability to analyze large datasets, resolve system issues, and build predictive models. Seeking to leverage analytical and technical expertise in a data-driven or software engineering role.
Sikkim Institute of Science and Technology
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Government Senior Secondary School, Rangpo
Class XII
N/A – May 31, 2021
Government Senior Secondary School, Rangpo
Class X
N/A – May 31, 2019
Anvil Energy Pvt. Ltd
Assistant Engineer
July 1, 2025 – Present
Gangtok, Sikkim, India
Anxiety & Sleep Disorder Prediction
June 23, 2026 – Present
Built a machine learning model using Logistic Regression to predict anxiety and sleep disorders. Performed data preprocessing and feature analysis using Pandas and NumPy. Achieved high prediction accuracy through optimized model tuning. Visualized key insights using Matplotlib.
House Rent Prediction
June 23, 2026 – Present
Developed a regression model to estimate rental prices based on location and amenities. Improved model accuracy through feature engineering and hyperparameter tuning. Completed during internship with real-world dataset exposure.
Cultural Fit Analysis
The candidate's projects in anxiety/sleep disorder prediction and house rent prediction, alongside their current role in smart metering data analysis, show a diverse interest in applying data science and machine learning to different domains. Their academic background in Computer Science & Engineering aligns with a technical role. The experience with real-time energy systems and data management indicates a practical, results-oriented approach. The candidate's profile suggests a good fit for roles requiring analytical thinking and problem-solving in data-intensive environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through issue resolution in smart metering systems and data discrepancy analysis. Their collaboration with development teams and field teams indicates good teamwork and communication. The ability to generate and analyze various operational reports suggests attention to detail and organizational skills. The candidate's experience in a real-time operational environment indicates a capacity for handling dynamic situations.