Pirthvi Raj

Results-oriented Software Engineering graduate with three internships in data analytics, data science and machine learning. Skilled in Python, SQL and Pandas for data cleaning, exploratory analysis and trend identification, and in building Power BI and Streamlit dashboards that turn raw data into actionable insights. Experienced in developing, evaluating and deploying Scikit-learn models for forecasting, classification and regression.

Seeking a data analyst role to support data-driven business decisions.

Data Science Intern at 10Pearls (Shine Internship Program) (2026-07 – 2026-08)

• Designed and delivered Pearls AQI Predictor, an end-to-end air-quality forecasting solution spanning data collection, preprocessing, feature engineering and machine learning modeling.
• Engineered time-based and pollutant-specific features, improving the predictive accuracy of forecasts.
• Developed an interactive Streamlit dashboard that communicated AQI forecasts and trends clearly to non-technical stakeholders.

Machine Learning Intern at Dawoodtech NextGen (2026-05 – 2026-07)

• Prepared and analyzed real-world datasets using Python (Pandas, NumPy), delivering exploratory data analysis reports and supporting visualizations.
• Developed and benchmarked Scikit-learn predictive models, selecting the best-performing algorithms based on standard evaluation metrics.
• Deployed models as interactive Streamlit applications and maintained version-controlled codebases using Git and GitHub.

Data Analyst Intern at Excelerate (2026-01 – 2026-02)

• Analyzed cohort datasets to uncover enrollment trends, top-performing courses and completion and drop-off patterns.
• Created data visualizations that translated raw data into actionable recommendations for educational planning.

Bachelor of Science in Software Engineering – Sindh Agriculture University, Tandojam (2022 – 2026)

Intermediate – Sindh Public College, Umarkot (2020 – 2022)