Data Analyst & ML Enthusiast

SIRJANKHADKA

Transforming raw data into actionable insights. Student at Caldwell University with a passion for uncovering patterns, building dashboards, and telling compelling stories through data.

10+
Projects
5+
Tools
3+
Years
// linear_regression.py SCIKIT-LEARN
// revenue_dashboard.pbix POWER BI
// metrics_pipeline.py ● LIVE
01 //

ABOUT ME

I'm Sirjan Khadka, a data-driven thinker and aspiring analyst currently studying at Caldwell University. I turn messy, complex datasets into clear, compelling narratives.

My work spans data wrangling, exploratory analysis, visualization, and predictive modeling. I love the moment a chaotic spreadsheet becomes an insight that actually changes how someone decides.

Outside analytics, I explore machine learning concepts, contribute to personal projects, and continuously sharpen my toolkit — Python, SQL, Power BI — to be ready for real-world impact.

// profile_data.json
NameSirjan Khadka
LocationCaldwell, NJ
UniversityCaldwell University
FocusData Analytics
GitHubsirjankhadka25
Status● Open to Opportunities
02 //

SKILLS

// Languages
Python88%
SQL85%
R70%
// Data & Analysis
Pandas / NumPy90%
Excel / Sheets85%
Statistics80%
// Visualization
Matplotlib / Seaborn88%
Power BI / Tableau78%
Plotly / Dash72%
// Machine Learning
Scikit-Learn80%
Feature Engineering75%
Model Evaluation78%
03 //

PROJECTS

PROJECT_001
Sales Dashboard & KPI Tracker

Interactive Power BI dashboard monitoring KPIs, revenue trends, and regional performance. Python-powered ETL pipeline feeding live visuals for executive reporting.

PythonPower BIPandasSQL
PROJECT_002
Customer Churn Prediction

Binary classification model predicting customer churn at 87% accuracy. Full EDA, feature engineering, and Random Forest with SHAP values for business explainability.

Scikit-learnSHAPPythonEDA
PROJECT_003
COVID-19 Global Data Analysis

Analyzed global COVID-19 datasets to visualize infection trends, mortality rates, and vaccination progress across countries using interactive Plotly charts.

PlotlyJupyterPandasNumPy
PROJECT_004
E-Commerce Sentiment Analysis

NLP pipeline analyzing product reviews using VADER and TextBlob for sentiment scoring. Visualized customer feedback trends with word clouds and Seaborn charts.

NLPVADERPythonSeaborn
04 //

CONTACT

Let's Connect

Open to internships, data analytics roles, and project collaborations. Reach out — I'd love to chat!

sirjankhadka.25@gmail.com
Caldwell, NJ, USA
github.com/sirjankhadka25
linkedin.com/in/sirjan-khadka-5349b7384
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I'll get back to you shortly.