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Sujal Patidar

@sujalpatidar

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Data analyst and ML student building AWS-powered pipelines and Power BI dashboards.

India

Message

What I'm looking for

I’m looking for a Data Analyst/Data Science internship (remote if possible) where I can build data pipelines, create Power BI dashboards, and apply Python, SQL, and ML to solve real problems.

I build data products end-to-end, from preprocessing large datasets to delivering clear, stakeholder-ready dashboards. I’ve worked with Python, SQL, and Power BI to perform EDA, build models, and communicate insights through interactive visualizations.

I’m also hands-on with cloud-driven analytics: I founded and scaled an AWS Cloud Club, designed cloud-learning pathways (S3, IAM, Compute, and introductory Generative AI), and led workshops and certification drives. Recent projects include an automated FastF1 → AWS S3 → Lambda → Streamlit pipeline and a telecom churn dashboard that identifies high-risk segments to support data-driven decisions.

Experience

Work history, roles, and key accomplishments

Current

AWS Student Builder Group Leader

Current

AWS Student Builder Group (SVVV)

Nov 2025 - Present (7 months)

Founded and scaled the AWS Cloud Club at SVVV, growing an active community of 20+ students focused on cloud and data technologies. Designed cloud-learning pathways, organized hands-on workshops and certification drives, and mentored peers on AWS best practices and project development.

Community Building AWS S3 AWS IAM Cloud Computing Workshop Facilitation Certification Preparation Mentorship

Customer Churn Analysis

Personal Projects

Cleaned and validated 10,000+ telecom records and identified churn drivers across tenure, demographics, and usage. Developed a Power BI dashboard to track churn rate, high-risk segments, and retention-focused insights.

Excel Power BI Data Cleaning Data Wrangling Data Validation

F1 Race Analytics Pipeline

Personal Projects

Engineered an automated pipeline using FastF1 API → AWS S3 → AWS Lambda → Streamlit to ingest and process F1 race data. Built an interactive Streamlit dashboard for lap time, driver performance, and race strategy insights.

Python AWS S3 AWS Lambda Streamlit Data Processing Dashboards

Indian Road Accident Analysis

Personal Projects

Preprocessed and standardized 20,000+ records and performed EDA with 10+ data visualizations. Built a Random Forest model to predict accident severity, including feature importance analysis and evaluation via confusion matrix.

Python SQL scikit learn Power BI data preprocessing Random Forest Feature Importance