Shoyab Raza

Results-oriented Data Analyst (graduating 2026) with 2 internships and 4 end-to-end projects in fraud detection, retail analytics, payroll reporting, and dashboard development. Experienced in cleaning, visualization, reporting, and business intelligence using datasets containing 10,000–50,000 records. Strong analytical, problem-solving, and communication abilities focused on delivering actionable business recommendations.

Python & AI Intern - SISGA Soft Technologies Pvt. Ltd. - Anantapur, Andhra Pradesh

(2025-11 - 2026-03)

• Implemented Python-based ML classification models using Scikit-learn and Pandas, applying supervised learning techniques on structured datasets for AI-driven application development
• Designed and evaluated 3+ end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and performance evaluation using accuracy, precision, and recall metrics
• Collaborated on AI application modules, writing clean, modular Python code and documenting workflows — reducing debugging time by approximately 20%

Data Science Intern - Plasmid Innovation Ltd - Bangalore, Karnataka

(2025-03 - 2025-05)

• Processed and analyzed real-world datasets using Python (Pandas, NumPy) — performed data cleaning, null handling, and exploratory data analysis to prepare data for downstream modeling tasks
• Built data processing pipelines that transformed raw input files into structured, analysis-ready formats, improving reporting turnaround efficiency
• Generated visualizations and summary reports using Matplotlib and Seaborn to communicate data trends and findings to the team

Data Analyst Training - Data Analysis - Innomatics Research Labs (2026-01 - 2026-05)

Bachelor of Technology - Computer Science — Data Science Specialization - Gates Institute of Technology (2022-09 - 2026-05)