Sanidhya Singh

Projects

1. Bank Statement Analyzer (Role: OCR Developer)

-Developed an OCR answer using Tesseract and Python, attaining a 20% boom in data extraction accuracy.
-Implemented a real-time validation system for extracted records, decreasing blunders charges with the aid of 15%.

2. Looker Dashboard Developer

-Collaborated with move-useful groups to discover key overall performance signs (KPIs) and translated them into visually impactful dashboards.
-Conducted schooling periods for internal groups, enhancing their skillability in navigating and deciphering Looker dashboards.

3. Jetson Nano Camera Integration (Role: Computer Vision Engineer)

-Optimized YOLO version parameters to gain a 30% improvement in object detection pace.
-Implemented a robust alert machine for actual-time notifications on detected anomalies, increasing security responsiveness.

4. Face Detection System with PyTorch and MTCNN

-Fine-tuned the PyTorch version for improved accuracy in detecting faces below difficult situations.
-Integrated the device with current access manage systems, contributing to more suitable facility safety.

5. Number Plate Tracking using YOLO

-Implemented a custom education pipeline for YOLO, achieving a 25% boom in accuracy for recognizing diverse quantity plate codecs.
-Developed a centralized dashboard for monitoring and analyzing ancient quantity plate monitoring statistics.

6. OCR for Card Data Extraction

Integrated machine getting to know fashions for context-based extraction, resulting in a 15% development in accuracy.
Implemented a scalable architecture, permitting the gadget to technique a high volume of card information with minimum latency.

7. Question Answering Model with Hugging Face Transformers

-Fine-tuned transformer fashions using area-particular language, enhancing the model's accuracy on industry-specific queries through 20%.
-Conducted A/B testing, leading to the deployment of a more user-friendly and accurate question-answering interface.

8. Apache Beam Data Pipelines (Role: Data Engineer)

-Implemented dynamic scaling in facts pipelines, reducing processing time through 30% in the course of peak utilization.
-Introduced blunders tracking and automatic restoration mechanisms, ensuring pipeline reliability and minimizing downtime.

9. GCP Monitoring Automation (Role: Python Developer)

-Developed custom scripts for proactive monitoring, lowering the mean time to come across and solve troubles through 25%.
-Implemented automatic reporting, supplying stakeholders with complete insights into device health and overall performance.

10. Time Series Forecasting with Dataiku (Role: Data Scientist)

-Conducted characteristic engineering and implemented ensemble models, resulting in a 15% development in forecasting accuracy.
-Collaborated with area specialists to comprise outside factors, improving the model's ability to seize marketplace dynamics.

11. Dynamic CRM Automation for AI Model Integration

-Established a CI/CD pipeline for seamless model updates, reducing deployment time via 40%.
-Integrated natural language processing abilities into the CRM, permitting extra context-conscious interactions and enhancing user revel in.