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Ranjitha Reddy

Student at Christ University, Bangalore

Bengaluru

3+ years of work experience

Sarvam Seva Foundation
Jun 20251 yr 5 mosPresent

Bengaluru

Managed end-to-end community programme operations independently for 8 months. Coordinated 30+ participants monthly, collected 2 tonnes of waste total, ran online fundraising campaigns, and conducted behavioural research applying nudge theory to improve community engagement outcomes.
Jan 20241 yr 9 mosSep 2025

Bengaluru

Built financial simulation models in MS Excel used in live university classrooms. Collected economic data from RBI and World Bank. Produced weekly analytical reports for senior reviewers.
Bright Money
Dec 20223 mosFeb 2023

Bengaluru

Analysed 4,66,285 customer records using Python and Excel. Built credit risk prediction model with 73% accuracy using XGBoost. Identified income-to-loan ratio as key default predictor through feature engineering.

Ranjitha’s AI Stack

claude code
claude code

Education

Christ University, Bangalore

Economics

Christ University, Bangalore

20242024

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Headline

Student at Christ University, Bangalore

Location

Bengaluru

AI stack

claude code

Work experience

Administrative Assistant at Sarvam Seva Foundation, Jun 2025 - Present · 1 yr 5 mos, Bengaluru, Managed end-to-end community programme operations independently for 8 months. Coordinated 30+ participants monthly, collected 2 tonnes of waste total, ran online fundraising campaigns, and conducted behavioural research applying nudge theory to improve community engagement outcomes.

Research and Financial Modelling intern at The Econ Lab Christ university, Jan 2024 - Sep 2025 · 1 yr 9 mos, Bengaluru, Built financial simulation models in MS Excel used in live university classrooms. Collected economic data from RBI and World Bank. Produced weekly analytical reports for senior reviewers.

Business Analytics Intern at Bright Money, Dec 2022 - Feb 2023 · 3 mos, Bengaluru, Analysed 4,66,285 customer records using Python and Excel. Built credit risk prediction model with 73% accuracy using XGBoost. Identified income-to-loan ratio as key default predictor through feature engineering.

Education

Economics, Christ University, Bangalore

Ranjitha Reddy - Administrative Assistant in Bengaluru | Tal