Software Engineer Data Entry

Mahendra Vamsi Palagani

551-***-**** *************@*****.*** Linkedin

Education

Fitchburg State University Massachusetts, USA

Master of Science in Computer Science Jan. 2023 – May 2024

Jawaharlal Nehru Technological University Kakinada, India

Bachelor of Technology in Computer Science Aug. 2017 – May 20

Experience

Software Engineer Bangaluru, India

Infodot System Private Limited May. 2021 – Aug. 2022

•Developed and implemented Python Django forms to record and manage online user data, increasing data entry accuracy by 25% and reducing processing time by 30% through automated workflows.

•Enhanced web and application functionality by leveraging Python 3.5, HTML5, CSS3, AJAX, JSON, and JQuery, achieving a 20% improvement in page load speeds and a 15% increase in user engagement.

•Optimized database performance by designing and implementing complex SQL queries, functions, cursors, and triggers, reducing query execution times by 40% and improving data retrieval efficiency.

•Delivered a single-page application (SPA) with AngularJS backed by Node.js and MongoDB, supporting over 10,000 monthly active users and improving application response time by 35%.

•Processed and transformed third-party spending data into actionable deliverables using Excel macros and Python libraries such as NumPy, SQL Alchemy, and Matplotlib, reducing data preparation time by 50% while ensuring 100% compliance with formatting standards.

•Built and maintained Python Django-based data recording systems, increasing form submission success rates by 20% and ensuring compliance with data security protocols.

•Collaborated with cross-functional teams to deliver high-quality web solutions, leading to a 15% increase in client satisfaction and a reduction in defect rates by 25%.

Projects

Development of an End-to-End ECFD Workflow Management System for Commercial and Fighter Aircrafts Python, SQL

•Designed and implemented the Plan phase interface using Python, enabling streamlined planning processes, including creation of plans, process identification, configuration file management, and conditional matrix integration, ensuring precise deliverable identification.

•Developed the Setup phase module to automate the creation of storage hierarchies for project files, reducing manual file management efforts by 40% and ensuring structured organization of data.

•Engineered the Execute phase to automate retrieval of existing configurations, discretization generation, solver input preparation, and solver execution, improving computational efficiency by 30%.

•Utilized Python libraries such as Matplotlib and Pandas to design the Analyze phase, generating insightful graphs and visualizations from solver outputs to facilitate in-depth analysis and decision-making.

•Built an automated Archive phase to store processed data securely for future reviews and usage, enhancing data accessibility and long-term project traceability.

•Integrated Python-based scripts to invoke external programs, tools, and scripts for various ECFD operations, optimizing workflow automation and ensuring seamless system functionality.

•Contributed to the development of the ECFD system, designed for Commercial and Fighter Aircrafts, ensuring compliance with aerospace industry standards and improving engineering simulation workflows.

Development of a Python-Powered IoT-Based Touchless Home Automation System Python.

. In a Touchless Home Automation Project using Python, you will play a pivotal role in designing, developing, and implementing the automation system. Your responsibilities will span hardware integration, software development, voice recognition, data analytics, security, and testing. The project requires a mix of hardware knowledge, software engineering skills, and an understanding of IoT and user interfaces to create a seamless, hands-free experience for the end user.

Technical Skills

Programming languages: SQL, Python

Business Intelligence Tools: Tableau, Power BI

Databases and Related: MS-SQL, MySQL, Redshift, Snowflake, Big Query, PostgreSQL, MongoDB, Spark SQL Libraries and Frameworks: NumPy, Pandas, Matplotlib, Flask, Django, Git, GitHub, Docker, CI/CD, Statistics, Agile, SAS, Hadoop, Hive, Py Spark, ggplot2, Snowflake

Others: Microsoft Office (Excel, Word, PowerPoint, Outlook), Sterling Integrator, Data Bricks, Google Analytics, Data (Modeling, Mapping, Mining, Extraction, Transformation), Salesforce, JIRA, Confluence, Problem Solving, Strong Communication, Teamwork

Certifications

•Machine Learning

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