Abhinav Reddy Mandadi
Dallas,TX
Summary
Detail-oriented data science graduate with nearly 2 years of experience in data engineering and analysis. Proficient in modern programming tools and technologies, with practical experience in data analysis, machine learning, and database management. Effective communicator with collaborative skills and analytical thinking. Eager to apply my education and expertise to contribute to innovative projects and drive organizational growth as a data engineer.
Overview
4
4
years of professional experience
Work History
Data Engineer
Prudent Technologies and Consulting
09.2022 - Current
- Achieved project milestones and objectives ahead of schedule by applying strategic analysis and fostering client collaboration, ensuring successful outcomes for four major projects, which propelled organizational growth and elevated client satisfaction
- Revolutionized cloud infrastructure by designing, allocating, and maintaining Azure resources, streamlining operations, cutting downtime by 20%, and boosting scalability, leading to significant cost savings
- Accelerated data migration efficiency by developing four Azure Data Factory pipelines, cutting migration time by 40% compared to manual methods: this increased data accessibility by 20%, enhancing analysis capabilities, and driving informed decision-making and growth
- Created an automated bot to manage report downloads and uploads to SharePoint, optimizing report handling and ensuring the timely availability of critical data
- Facilitated faster data migration by deploying 12 CI/CD pipelines in Azure DevOps, seamlessly transferring data from SharePoint, SQL, and MySQL databases to Azure SQL Database, resulting in a 50% reduction in migration time, thus improving operational efficiency and real-time data access
- Improved data visualization by creating interactive dashboards in SharePoint and PowerBI, increasing decision-making effectiveness and insights for stakeholders, resulting in a 30% rise in data-driven actions and productivity across departments.
Software Engineering Intern
Open Text
01.2020 - 06.2020
- Optimized information management within the ECM (Enterprise Content Management) Team, orchestrating the lifecycle, distribution, and utilization of data organization wide
- This fostered streamlined workflows, improving efficiency by 30% and enhancing collaboration and decision-making across departments
- Accelerated data access by optimizing code using Java and Selenium, resulting in a 50% improvement in data retrieval speed
- This enhancement boosted operational efficiency and productivity, enabling quicker decision-making and actionable insights for stakeholders
- Mentored new interns and reviewed their work as an intern manager, fostering professional growth and ensuring high-quality deliverables
- This led to a 20% increase in the productivity of interns and overall team efficiency, contributing to a positive learning environment
- Managed datasets by storing and implementing access permissions, ensuring data integrity and security
- This safeguarded sensitive information and facilitated efficient data utilization, resulting in a 30% reduction in unauthorized access incidents and enhanced data governance
- Implemented a system to update employee access permissions for datasets, ensuring data security and compliance
- This reduced data access errors by 40%, enhancing operational efficiency and minimizing risks associated with unauthorized data access.
Education
Master of Professional Studies in Data Science -
UMBC
Baltimore, Maryland12.2022
Bachelor of Technology in Computer Science -
CVR College of Engineering
Hyderabad, India08.2020
Skills
- Analytical and Problem-solving Abilities
- Data Analysis and Statistics
- Competitive programming
- Effective Collaboration skills
- Modern Programming Tools
- Database management
- Project Management
- Software development methodologies
- Object oriented programming methods
- Python
- Machine Learning
- Data Analysis & Visualization
- MySQL
- Linux
- Azure (Certified in Azure fundamentals and Azure data fundamentals)
- PowerBI (Certified PowerBI Data Analyst)
Projects
Spaceship Titanic, 01/2022, Achieved 80% accuracy in predicting passenger arrivals on the spaceship Titanic by cleaning the dataset and deploying a random forest algorithm. This analysis yielded vital insights into passenger outcomes, enhancing predictive modeling capabilities. Skin cancer detection, 12/2021, Achieved peak accuracy of 85% in cancer identification by processing skin image datasets. Utilized CNN, KNN Classifier, and MLP Classifiers, enhancing cancer detection capabilities. This milestone promises potential life-saving outcomes, marking a significant advancement in medical diagnostics. Automated Attendance system, 08/2019 - 03/2020, Automated classroom attendance, reducing manual effort by 60%. Achieved 90% accuracy in real-time face recognition, enhancing efficiency. Improved attendance tracking precision by 50% with optimized face identification. This streamlined process resulted in a 40% increase in overall classroom productivity.
Timeline
Data Engineer
Prudent Technologies and Consulting
09.2022 - Current
Software Engineering Intern
Open Text
01.2020 - 06.2020
Master of Professional Studies in Data Science -
UMBC
Bachelor of Technology in Computer Science -
CVR College of Engineering