Data Science Machine Learning

Rajapreethi Rajendran

Gender: Female

Address: Frankfurt am Main, Germany

Email: **************@*****.***

Phone: +49-157********

LinkedIn: https://www.linkedin.com/in/rajapreethi-r/ SUMMARY

I am an engineering professional with over six years of work experience in software development and I am looking for a career utilizing computer science and data science skills. I have demonstrated experience in software development and I can bring that experience as transferrable skills to this role while incorporating my proficiency in data science. I have completed my Master's in High Integrity Systems with a specialized focus on computer science and data science and currently looking forward to the full-time opportunity. SKILLS

• Tech Stack: C#, Python, R, Java, Microsoft Azure, Docker, Kubernetes, SQL, Power Bi

• Data Science: Data Preparation, Data Preprocessing, Explanatory Analysis, Supervised Learning, Unsupervised Learning, Machine Learning and Predictive Models.

• Machine Learning Models: ARIMA, SARIMAX, Regression, Decision trees, Random Forest, Prophet, Neural Networks (GRU, LSTM, FNN), XG boost

• Tools: Git, TFS, SonarQube, Bitbucket

• Management Tools: JIRA, Confluence, Microsoft Teams

• Agile Methodologies: Adherence to Agile and Scrum principles for iterative development, collaboration and adaptability

PROJECTS

Master thesis - Forecasting Glass Trash Collection using Machine Learning Models September 2023 – March 2024

• Collaborated with FES GmbH to develop a machine learning model utilizing sensor data aimed at predicting and optimizing glass collection processes to reduce costs and improve energy efficiency.

• Conducted thorough data cleaning and preprocessing to ensure the accuracy and reliability of datasets.

• Performed detailed explanatory analysis to extract valuable insights for informed decision-making.

• Applied advanced models with Python (Tensorflow, Keras, Numpy, Pandas etc) tech stack to real-world scenarios, enhancing predictive accuracy and project success.

• Generated pickup schedules to optimize logistics operations and ensure efficient resource allocation. Cloud computing – Real-time object detection

• Developed a real-time object detection system at the edge node with integration into a cloud-based MinIO server.

• Utilized Python, OpenCV, YOLOv4, Flask, MinIO, Docker for efficient and scalable implementation.

• Orchestrated the deployment of the rat detection system using Kubernetes for container orchestration. WORK EXPERIENCE

Exocad GmbH, Darmstadt, Germany https://exocad.com/de/ Working Student Web Application Developer May 2022 – Present

• Actively developing a Java web application by utilizing the Vaadin framework integrated with Spring and REST API for a Bug Report Analysis tool.

• Integrated enhancements to elevate application performance and user experience.

• Successfully developed dashboards for a report analysis tool enabling a comprehensive monthly, product- specific and date-specific analysis.

• Streamlined deployment and enhanced management efficiency by Dockerizing the application.

• Applied updates to both Vaadin and Java, capitalizing on the latest features for improved functionality. Odessa Inc, Bangalore, India https://www.odessainc.com/ Associate Technical Lead April 2021 - September 2021 Senior Software Developer April 2019 - March 2021

• Developed modules for the .NET-based asset finance ERP software Leasewave to address the specific needs of prominent US banking and financial groups.

• Led code design, estimation, implementation and guidance throughout the development life cycle.

• Executed refactoring and performance tuning for critical modules to successfully optimize code efficiency and enhance overall system performance.

• Played a crucial role in the Hypercritical team by showcasing expertise in resolving critical defects through effective debugging.

• Implemented efficient batch processing in the application using Quartz Scheduler leading to enhanced job scheduling and automation thereby improving operational efficiency.

• Collaborated across interdisciplinary teams, offered insights and actively engaged in design discussions while mentoring team members to foster a collaborative and knowledge-sharing environment.

• Adhered to an Agile software development process and contributed to the iterative development which ensured the timely delivery of high-quality software solutions. Software Developer April 2017 - March 2019

• Contributed to the development of the organization's internal framework within the R&D team and enhanced the overall system architecture.

• Successfully delivered numerous features and showcased a consistent and high level of productivity and achievement.

• Engineered and implemented a custom query builder module, leading to a substantial improvement in the user experience for database generation.

• Actively participated in the development and contributed to the integration of Text Template Transformation Toolkit (T4), resulting in optimized code generation and improved software development processes

EDUCATION

Frankfurt University of Applied Sciences, Germany October 2021 – March 2024 Master of Science in High Integrity Systems (Computer and Data Science) – 1.55 Grade Odessa Inc, Bangalore, India August 2016 – March 2017 Intern Software Engineer

Anna University, Chennai, India May 2013 – March 2017 Bachelor Of Engineering in Electronics and Communication Engineering LANGUAGE

● English (C2 – Proficient User)

● German (A2 Ongoing)

● Tamil (Mother Tongue)

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