Prerna Kansal

Aspiring Data Scientist with hands-on experience across the full analytics pipeline — data cleaning, exploratory analysis, feature engineering, and machine learning model development — plus a Software Engineering background in Python automation and backend validation. Experienced in building predictive models, NLP applications, and interactive dashboards that turn raw data into actionable business insight. Proficient with SQL, Power BI/Tableau, and Generative AI tools (Copilot, ChatGPT, Gemini, Claude, Perplexity) for accelerated analysis and prototyping.

Data Analyst (Job Simulation) - Deloitte Australia

(2026-01)

• Analyzed structured datasets to identify patterns, anomalies, and potential risk/compliance indicators as part of a forensic technology & data analysis simulation.
• Designed an interactive Tableau dashboard and used Excel to classify data, derive insights, and present actionable, data-driven conclusions to business stakeholders.

Software Engineer - GTEN Technologies - Noida

(2025-01)

• Designed and automated 60+ real-world end-to-end test scenarios in Python, applying structured, requirement-driven analysis to validate system logic and data integrity.
• Performed backend and API validation across integrated systems and databases, including edge-case handling — building a strong foundation in data quality and reproducible testing.
• Used Microsoft Copilot and other Generative AI tools to accelerate development and problem-solving on a client-facing project, including a Salesforce-based implementation.

B.Tech - Electronics and Computer Science - JC Bose University of Science and Technology, YMCA (2025-05) Faridabad