Saswat Dash Email & Phone Number

Bengaluru, Ka, In

Bangalore

- Led migrations for software companies, cutting data latency by 50% with optimized pipelines.- Worked with engineering leaders to ensure 99.9% uptime for critical workflows.- Helped SaaS companies scale data infrastructure, boosting efficiency by 40%.- Delivered solutions that enhanced data consistency for real-time decisions across departments.- Worked with mid-sized software companies to streamline workflows, cutting processing time by 30%.- Supported engineering teams to boost data reliability and reduce downtime with top-tier integration practices.- Enabled smooth data transfers between cloud and on-prem systems, ensuring consistent accuracy.- Helped companies follow compliance and security standards during data integration.

Bhubaneswar, Odisha, India

Responsible for bringing in collaborations national and international for TedxKIIT editions.

Bhubaneswar, Odisha, India

During my work experience, I gained knowledge in machine learning models and their practical applications. I engaged in several mini projects that provided hands-on experience and deepened my understanding of the field.Firstly, I developed a spam detection system using Naive Bayes, focusing on text preprocessing and feature extraction. For the house pricing prediction project, I implemented linear regression and gradient boosting, ensuring data cleaning, normalization, and feature engineering were meticulously performed.In another project, I created a handwritten digit recognition system using convolutional neural networks (CNNs), enhancing my skills in image processing and model tuning. Additionally, I built a newspaper genre detector with support vector machines (SVMs), emphasizing text classification techniques.Lastly, I developed a face detection system utilizing Haar cascades and deep learning models, concentrating on image preprocessing and real-time detection.Throughout these projects, I consistently applied data cleaning, normalization, and standardization techniques, ensuring robust and accurate models. This experience significantly enhanced my proficiency in machine learning and practical deployment.