Python
Dynamic Business Analyst with a proven track record at Larsen & Toubro, excelling in user acceptance testing and data transition management. Spearheaded digital tool enhancements and conducted impactful training sessions, significantly improving user experience and support efficiency. Proficient in SQL and Excel, with solid skills in Python and Power BI for data analysis, enabling data-driven decision-making and actionable insights.
Uploaded historical data to S3 using Excel files.
Transferred data to DynamoDB via Lambda functions.
Executed data cleanup procedures with Lambda for accuracy.
Predicted next-day values based on historical trends.
Collected data for Bollinger Bands and MACD analysis.
Visualized data insights through Power BI dashboards.
Elevates face anti-spoofing capabilities through deep learning, attention mechanisms, and a custom loss function, outperforming pre-trained models in accuracy.
Problem-solving
Python
SQL
C#