Hi, I'm Rushabh
Analyzing, modeling, and visualizing data to power smarter business decisions.

About

I am a passionate data scientist and graduate student, with expertise in Data Science, Predictive Modeling, & Cloud Technologies. With a strong foundation in Python, Machine Learning, & Business Analytics, I thrive on turning complex data into meaningful insights that drive smarter decisions.

My experience spans working on real-world projects—optimizing workflows, predicting outcomes, and building data pipelines that add measurable value. Whether it’s creating dashboards for operational efficiency or developing models to detect anomalies, I focus on delivering data-driven solutions aligned with business goals.

I am excited to bring my analytical mindset, technical expertise, and collaborative spirit to new challenges. If you’re looking for someone who can transform data into actionable insights and make an impact, let’s connect!

 

Skills
Transforming complex data into actionable insights through innovative machine learning models and advanced data science techniques...
Programming Languages & Tools:

R, Python (Pandas, NumPy), SQL, Excel, C, Git, GitHub, Jira

Data Analysis & Visualization:
Tableau, Power BI, Matplotlib, Seaborn

Machine Learning:
Predictive Modeling, Feature Engineering, A/B testing, Regression, Classification, Statistical Analysis, Scikit-Learn, SciPy

Cloud Platforms:
AWS (S3, EC2), BigQuery, Azure

Portfolio

Airline Delay Analysis Prediction

In this project, I performed data cleaning, visualization, and applied machine learning models using Python, SciPy, and Scikit-Learn to predict airline delays. I explored trends across airlines, airports, and flight distances. Models like Linear Regression, Decision Tree, Random Forest, and XGBoost were applied, with Random Forest achieving the best performance. This project offers insights to optimize airline operations and predict delays efficiently.

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HR Summary Dashboard

I developed an interactive HR dashboard to analyze key workforce metrics like headcount, attrition, demographics, and compensation trends. The project involved data cleaning and analysis in Python, with visualizations created in Tableau. It streamlined reporting processes and empowered stakeholders to make data-driven decisions for recruitment, retention, and workforce planning.

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Anomaly Detection in Transaction

This project focuses on identifying irregular patterns in transaction data to detect fraud. I performed data cleaning, exploratory analysis, and applied models like RandomForestClassifier, Isolation Forest, and an Autoencoder using Python and Scikit-Learn. Random Forest provided the best results, showcasing expertise in anomaly detection and machine learning.

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12 Creative Ways to Visualize Time

I designed a dashboard featuring 12 creative time-series visualizations, including line charts, dot plots, butterfly charts, and calendar heatmaps. This project showcases versatility in data presentation, helping stakeholders identify trends, make comparisons, and track cumulative progress over time.

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View more Projects on GitHub, Tableau Public and Medium

Resume
Looking for a data scientist who can turn complex data into business value? I bring expertise in analytics, machine learning, and cloud technologies to drive data-backed solutions that impact decision-making and business growth.
Contact

Interested in hiring me for your team?

I’m open to new opportunities with the right team. I’m passionate about data and machine learning, and would love to learn more about new opportunities in US.

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