r
rahulranwa_kgp

Rahul Ranwa

@rahulranwa_kgp

Data Analyst

India
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a student at IIT Kharagpur with a strong background in data science, product management, and filmmaking. I have experience developing ML models for environmental sensors, managing large-scale media productions for Amazon Prime, and founding a brand consulting startup. I specialize in Python, SQL, and analytical dashboarding to drive business insights.... Continua a leggere

Competenze

r
rahulranwa_kgp
Rahul Ranwa
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Analisi del prodotto
I will do data cleaning, data analysis and data visualization
Pulizia dei dati
I will do excel data cleaning

Portfolio

Esperienza lavorativa

Research Internship

University of Manchester

Apr 2026 - Jul 2026 • 3 mos

Developed ML calibration for PM2.5 sensors across 13 deployments, studying accuracy, sensor generalization, & environmental drivers •Constructed 136K+ paired PM2.5 observations across 13 deployments in 9 Indian cities via Haversine spatio-temporal matching & QC filters •Benchmarked 7 regressors via chronological TimeSeriesSplit, SHAP, ablations & LOSO to quantify accuracy, feature effects & generalization •Reduced network MAE by 38% (RF: 24.2 ug/m3 ); LOSO measured 42.2 vs 26.6 ug/m3 on new vs known sensors, exposing model transfer limits

Amazon_Prime Video

Management Intern (Direction Team)

Amazon Prime Video • Full time

Apr 2025 - Jul 2025 • 3 mos

Coordinated sponsor integrations and daily crew workflows, turning creative decisions into practical execute-able plans [May '25 - Jul '25] • Tracked the production schedules for Amazon Prime series "Gaming Insaan" (Rs. 10M budget), supporting scope control & launch delivery • Managed execution for major sponsor integrations (TVS Raider, Garnier, Kaspersky), aligning partner brand requirements with filming plans • Supervised 3 transcribers & 1 logger to optimize the QA logging workflows, processing over 1,000 hours of raw media for post-production