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AI Engineer with less than a year in Python, SQL, data analysis, visualization, and machine learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Industrial Engineering undergraduate skilled in Python, SQL, data analysis, visualization, and machine learning, with experience turning raw data into actionable insights.
Institute of Engineering (IOE), Thapathali Campus
Bachelor in Industrial Engineering (BIE) · Industrial Engineering
August 1, 2022 – Present
Nepal Academy of Science and Technology, NAST
Research Assistant Intern
January 1, 2026 – May 1, 2026
India
Customer Churn Prediction and Business Analytics
June 1, 2026 – Present
Built predictive models to identify customers likely to churn. Performed data preprocessing, feature engineering, and model evaluation. Generated insights and recommendations to support customer retention strategies.
Movie Sentiment Analysis
June 1, 2026 – Present
Cleaned and processed text data for sentiment classification. Applied TF-IDF vectorization and trained machine learning models. Evaluated performance using confusion matrix, precision, recall, and F1-score
Fraud Detection Analytics System
June 1, 2026 – Present
Analyzed transaction data to identify suspicious patterns and fraud indicators. Built data pipelines for processing and storing transaction records. Created visual analytics dashboards to monitor fraud-related metrics.
Solar Power Prediction System
June 1, 2026 – Present
Analyzed historical weather and solar generation data to forecast solar power output. Compared models including Linear Regression, Random Forest, ANN, and LSTM for prediction accuracy. Visualized trends and model outputs to support data-driven energy forecasting.
View ProjectWinner, Project Demonstration – Yathartha 2080
IOE Thapathali Campus
June 1, 2026 – Present
Public Choice Winner, BE Project Demonstration – MechTRIX 2080
IOE Pulchowk Campus
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data science and machine learning applications across various domains (customer analytics, NLP, fraud detection, energy forecasting). This diversity aligns well with an AI Engineer role that often requires adaptability to different problem spaces. The academic achievements (project demonstration wins) suggest a proactive and competitive spirit. The current education status (undergraduate) and internship experience indicate a foundational stage in their career, which might require mentorship and integration into a team culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on analytical and data-driven tasks, suggesting a detail-oriented approach. The research assistant intern role also points to collaborative technical tasks and documentation skills. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.