CSIT student at Tribhuvan University, targeting AI/ML Engineer and Data Engineer roles.
Proficient in Python, machine learning, deep learning, and data collection, cleaning,analysis,visualization and interpretation with a strong problem-solving.
Built end-to-end ML projects, from data cleaning and model training to deployment as AI-powered applications.
Passionate about turning data and algorithms into scalable, real-world solutions.
Education
Tribhuvan University
Bachelor's Degree in Computer Science and Information Technology: CGPA=
2082 - present
Nepal
Bal Vidhya Secondary School kohalpur-6,Banke
Science / Computer Science:GPA=3.28/4
2079 - 2080
Nepal
Relevant Coursework
Database Management Systems
Machine Learning
Deep Learning
Artificial Intelligence
Statistics & Probability
Computer Networks
Operating Systems
Data Mining
Cloud Computing
Distributed Systems
Projects
End-to-End Data Pipeline
| Python, SQL, Pandas, PostgreSQL
2026
-
Built an end-to-end ETL pipeline to extract, clean, transform,
and load structured data into a relational database.
-
Used Python and Pandas for data processing and SQL for
transformation, querying, and analytical workloads.
-
Designed reusable data-processing workflows with validation
and error-handling steps to improve data quality.
Machine Learning Prediction System
| Python, Scikit-learn, Pandas, NumPy
2026
-
Developed a machine learning pipeline covering data
preprocessing, exploratory data analysis, feature engineering,
model training, and evaluation.
-
Compared multiple machine learning algorithms using appropriate
evaluation metrics and cross-validation techniques.
-
Created a reusable prediction workflow capable of processing
new input data and generating model predictions.
AI / Data Analytics Dashboard
| Python, SQL, Streamlit
2026
-
Developed an interactive dashboard for exploring datasets,
analyzing trends, and presenting data-driven insights.
-
Integrated data preprocessing and analytical workflows into
a user-friendly application.
Technical Skills
Programming:
Python, SQL
Data Engineering:
ETL/ELT, Data Pipelines, Data Cleaning, Data Processing,
Data Warehousing, Apache Spark
Databases:
PostgreSQL, MySQL, MongoDB
AI / Machine Learning:
NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch,
Feature Engineering, Model Evaluation
Data Analysis:
Exploratory Data Analysis, Statistics, Data Visualization,
Matplotlib, Seaborn
Tools:
Git, GitHub, Jupyter Notebook, VS Code, Linux
Cloud:
AWS
Soft Skills
Communication ,Public speaking , Team work,Leadership
Coding & Technical Profiles
Certifications
-
Data Engineer/ AIML Certification —
Apna Collage
-
Python
freecodecamp
-
Git/Github
Code IT