Salesforce Developer Virtual Internship
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Summary
Completed tasks and modules on the Trailhead platform, building custom objects and automating processes in a simulated CRM environment.
Motivated Data Integration Trainee with hands-on experience in ETL pipeline design, data workflows, and Big Data technologies, including Talend Open Studio, SQL, and Python. Proven ability to quickly learn new systems and solve complex problems, contributing to impactful data projects through strong teamwork and analytical skills. Eager to leverage foundational knowledge in data extraction, transformation, and loading to optimize data processes and drive informed decision-making.
Data Integration Trainee
Eluru, India
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Summary
Underwent comprehensive training in data integration and pipeline creation, focusing on Talend Open Studio, SQL, Python, and Big Data concepts.
Highlights
Completed intensive hands-on training in Talend Open Studio, mastering data integration and pipeline creation techniques.
Developed proficiency in building, scheduling, and debugging robust data workflows utilizing diverse Talend components.
Executed complex SQL queries for efficient data extraction, transformation, and validation processes.
Applied Big Data concepts and developed Python scripts to automate data processing and transformation tasks, significantly enhancing operational efficiency.
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Bachelor of Technology
Computer Science and Engineering
Talend Open Studio, ETL Workflow Development, Data Flow Management, Data Consolidation, Data Pipelines.
Python, SQL.
Big Data Concepts, Data Manipulation, MySQL.
Supervised Machine Learning, Data Cleaning, Feature Selection, Model Evaluation, Predictive Analytics.
IoT, Raspberry Pi, OpenCV, Face Recognition, Real-time Face Detection.
Web Interface Design.
Salesforce Development, Custom Objects, Workflows, Automation.
Problem-solving, Teamwork, Quick Learner.
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Summary
Completed tasks and modules on the Trailhead platform, building custom objects and automating processes in a simulated CRM environment.
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Summary
Developed a supervised machine learning model for rainfall prediction, gaining practical experience in data handling and predictive analytics.
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Summary
Designed and developed an IoT-based attendance system leveraging Raspberry Pi and face recognition for automated attendance marking.