MANDAL SATISH REDDY

Software Engineer | Cloud & Data Analytics Specialist

Hyderabad, IN.

About

Highly motivated Software Engineer with experience in Agile development, cloud platforms (AWS, Azure), and data analytics. Proven ability to drive efficiency, enhance system performance, and improve customer satisfaction through robust technical solutions and strategic problem-solving. Eager to apply expertise in full-stack development, machine learning, and IoT to deliver impactful results in dynamic tech environments.

Work

Accenture Nordics

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Software Engineering

Hyderabad, Telangana, India

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Summary

Spearheaded Agile development, system design, and quality assurance initiatives for client projects, significantly enhancing development processes and outcomes.

Highlights

Led Agile development, system design, and code quality assurance efforts, boosting development efficiency by 20% and streamlining processes using Trello and Rally.

Enhanced code quality standards, ensuring robust and maintainable solutions across multiple development cycles.

Executed full-stack feature development, aligning with client requirements and business goals to elevate customer satisfaction by 15%.

Reduced operational costs by 10% through optimized feature delivery and process improvements.

Utilized Agile methodologies, Jira, Git, React, AWS, Docker, JavaScript, Python, and SQL to deliver high-quality software solutions.

Education

Malla Reddy Engineering College & Management Science

Hyderabad, Telangana, India
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Bachelor of Technology in Information Technology Computer Science Grade:

Skills

Programming Languages

Python, Java, PHP, GO, C++, ASP, JavaScript, SQL.

Cloud & DevOps

AWS, Azure, GCP, Docker, Git, GitHub, GitLab, CI/CD Pipelines, Cloud Architecture, Azure Virtual Network, Load Balancer, Network Security Group, ARM Templates.

Databases & Data Streaming

DynamoDB, Elastic Cache, SQS, Kafka, Oracle Cloud Infrastructure.

Web Technologies

React, HTML, CSS, Backend Development, Full-Stack Web Development.

Machine Learning & Data Science

TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, Playwright, Predictive Maintenance, Data Ingestion, Feature Engineering, Model Evaluation, Regression, Classification, Clustering, Anomaly Detection.

Tools & Methodologies

Agile, Scrum, TDD (Test-Driven Development), Jira, Trello, Rally, Selenium Testing, VS Code, Android Studio, DataGrip, Linux Environments, MQTT Protocols, ESP8266, Raspberry Pi, System Design, Code Quality Assurance.

IoT & Smart Systems

IoT Data Analytics, Smart City Endpoints, Sensor Integration, Prototype Deployment.

Interests

Technology & Development

Cloud Computing, Machine Learning, Data Analytics, IoT & Network Security, Full-Stack Web Development, Problem Solving, Debugging.

Projects

Deploying a website using Azure services with ARM template

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Summary

Optimized and deployed a website leveraging Azure services and ARM templates to ensure high performance, uptime, and scalability.

Securing the Pulse of Smart Cities: Detecting False Injections

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Summary

Engineered an anomaly-detection framework to enhance the security of smart-city IoT infrastructure against malicious data injections.

ML-powered Energy Monitoring Dashboard (Hackathon Finalist)

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Summary

Developed an innovative machine learning-powered dashboard for energy monitoring during a competitive hackathon at Malla Reddy Engineering College & Management Science.

IoT Workshop Lead

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Summary

Led an intensive workshop focusing on IoT device configuration, sensor integration, and prototype deployment for students at Malla Reddy Engineering College & Management Science.

Message Learning Model for MQTT Data Analytics

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Summary

Developed an end-to-end machine learning pipeline for high-volume MQTT sensor data, focusing on predictive maintenance and real-time analytics.