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Purnima Prusty

@purnimaprusty

Data Engineer at SmartRecon Technologies building financial reconciliation pipelines that improved operational efficiency by 50%.

India

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What I'm looking for

I’m seeking data-focused roles where I can build scalable data solutions, apply machine learning, and turn complex data into reliable, actionable insights.

At SmartRecon Technologies Pvt. Ltd., I engineer financial data processing and reconciliation workflows using Python, SQL, PostgreSQL, and Azure. My ETL/ELT pipelines support transaction ingestion, validation, reconciliation, and reporting, and helped improve operational efficiency by 50%.

At NIT Warangal, I implemented a MesoNet4-based DeepFake detection model and an end-to-end evaluation pipeline, achieving 97% recall. I’m seeking data-focused roles where I can build scalable data solutions, apply machine learning, and turn complex data into reliable, actionable insights.

Experience

Work history, roles, and key accomplishments

Current

System Analyst (Data Engineer)

Current

SmartRecon Technologies Pvt. Ltd.

May 2025 - Present (1 year 4 months)

Engineered and maintained financial data processing and reconciliation workflows using Python, SQL, PostgreSQL, and Azure, improving operational efficiency by 50%. Developed automated ETL/ELT pipelines and optimized database performance, reducing processing latency by approximately 20%.

Python SQL PostgreSQL Azure ETL ELT Databricks Linux RHEL Query Tuning Indexing Security Testing SQL Injection Prevention

Summer Research Intern

NIT Warangal

Jun 2024 - Jul 2024 (1 month)

Implemented a MesoNet4-based DeepFake detection model with transfer learning and fine-tuning. Built an end-to-end pipeline covering preprocessing, batch inference, and evaluation, achieving high recall of 97%.

Deep Learning Computer Vision Image Processing Transfer Learning Model Evaluation Python TensorFlow

Intern

Supraja Technologies

May 2024 - Jul 2024 (2 months)

Configured and secured virtual machines and network environments for cybersecurity testing. Performed web application vulnerability assessment and penetration testing using Kali Linux and Parrot OS.

Cybersecurity Virtual Machines Network Security Vulnerability Assessment Penetration Testing Kali Linux Parrot OS

C2S Program Trainee

Ministry of Electronics and Information Technology (MeitY)

Nov 2023 - Apr 2024 (5 months)

Designed a face recognition system for criminal identification using FPGA/ASIC-based hardware implementation. Optimized image processing pipeline for real-time performance and efficient resource utilization.

FPGA ASIC Face Recognition Image Processing Hardware And Software Implementations System Integration