Looking for a job

Saumya Patel

@saumyapatel2

Data science graduate student who engineered forecasting models at Prodigy InfoTech and built a grievance triage platform with 92% accuracy.

India

Message

At Prodigy InfoTech, I engineered predictive machine learning models across 50K+ records, improving forecast accuracy by 18%. I also built Tableau dashboards and streamlined data preprocessing pipelines.

I built a government grievance and sentiment triage platform using TF-IDF, Logistic Regression, and FastAPI, achieving 92% classification accuracy. My projects also include a BART/T5 summarization API and a Power BI insurance dashboard.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Prodigy InfoTech

Mar 2026 - Apr 2026 (1 month)

Engineered predictive machine learning models using Python across 50K+ records, enhancing forecast accuracy by 18%. Built 6 interactive Tableau dashboards and streamlined data cleaning pipelines, eliminating 95% of data anomalies.

Python Machine Learning Tableau data preprocessing Feature Engineering Model Optimization Collaboration Agile

Data Analyst Intern

Cognifyz Technologies

Jun 2025 - Jul 2025 (1 month)

Processed and transformed enterprise datasets containing 75K+ transactions, resolving 98% of schema discrepancies. Analyzed operational and revenue metrics to uncover core sales drivers and developed interactive Python (Plotly) dashboards surfacing 15+ vital KPIs.

Data Analysis Python Plotly data transformation KPI Reporting SQL