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Ranjith KandhariRK
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Ranjith Kandhari

@ranjithkandhari

I build analytics dashboards and predictive models that turn business data into actionable insights.

India
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What I'm looking for

I'm seeking a fresher Data Analyst role where I can use Python, SQL, Tableau, and Power BI to deliver data-driven insights and continue growing in analytics and AI-driven reporting.

I've built analytics dashboards for e-commerce sales, banking loans, HR, supply chain, and customer churn, using Power BI, Tableau, Python, and SQL to turn operational data into clear business insights.

My projects cover end-to-end analytics work: cleaning and wrangling data, exploratory analysis, feature engineering, KPI reporting, and visualization. I’ve analyzed sales trends, loan default drivers, employee attrition, inventory risks, and churn patterns to support data-driven decisions.

I’ve also developed predictive models with Logistic Regression, Random Forest, and Decision Trees, including attrition and customer churn models that identify at-risk groups for proactive action.

Alongside my AI/ML degree, I completed an AWS Cloud Computing internship at Edzeetha, working with EC2, S3, IAM, and Lambda. I’m currently strengthening my analytics workflow and Generative AI knowledge through a Data Analyst course.

Experience

Work history, roles, and key accomplishments

ED

AWS Cloud Computing Intern

Edzeetha

Aug 2025 - Nov 2025 (3 months)

Gained hands-on experience with core AWS services including EC2, S3, IAM, and Lambda. Deployed and configured cloud-based infrastructure, demonstrating understanding of scalable and secure architecture.

Education

Degrees, certifications, and relevant coursework

BT

Brilliant Institute of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering (AI/ML)

Grade: 8.1 CGPA

Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on AI/ML, graduating in June 2026 with a CGPA of 8.1.

SC

Sri Chaitanya Junior College

Intermediate, MPC

2020 - 2022

Grade: 77%

Completed Intermediate education in the MPC stream with a percentage of 77%.

Tech stack

Software and tools used professionally

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