Detail-oriented final-year IT student turning telecom-scale datasets and clinical records into actionable insights through SQL, Power BI, and Python.
01 — About
Detail-oriented final-year Information Technology student with hands-on experience in data analysis, SQL, and dashboard development. Completed an AI/ML internship at Nepal Telecom performing ETL, EDA, and feature analysis on large telecom datasets. Built interactive Power BI dashboards and applied statistical analysis to derive actionable insights. Certified in SQL and Power BI via DataCamp.
📍 Kathmandu, Nepal
69K+
Patient Records Analysed
3
Major Projects Built
2
DataCamp Certifications
1
Industry Internship
02 — Education
Nepal College of Information Technology (NCIT)
Kathmandu, Nepal
DataCamp
DataCamp
03 — Skills
04 — Projects
Analysed 69,973 diabetic patient records from 130 US hospitals; built an interactive 3-page Power BI dashboard with DAX measures, KPI cards, and dynamic slicers. Engineered 8 clinical features and validated with ML — XGBoost achieved AUC-ROC 0.6448, outperforming the original 2014 paper.
Merged and cleaned 7 datasets (drivers, races, results, qualifying, constructors, lap times, standings) into a unified pipeline. Random Forest achieved Spearman rank correlation 0.91, correctly predicting the 2023 Bahrain GP podium.
Designed automated irrigation using ESP32, Arduino Uno, DHT11, soil moisture sensors, and relay modules with real-time threshold logic. Built a web monitoring interface in HTML/CSS/JavaScript for live sensor data and remote control.
05 — Experience
Nepal Telecom
Jawalakhel, Lalitpur
06 — Contact
Open to internships, data analyst roles, and collaborative projects. Reach out anytime.