Kamal Khumar
IT Graduate Trainee Rotation 2 Data Excellence Office @RWE
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WORK HISTORY
IT Graduate Trainee Rotation 2 Data Excellence Office @RWE
Essen, DE
EDUCATION
St. Joseph's College Of Engineering
Bachelor of Engineering - BE, Computer Science
FAU Erlangen-Nürnberg
Master of Science - MS, Data Science
ABOUT KAMAL KHUMAR
Data Analyst | Machine Learning Enthusiast | Innovator in Data-Driven Decision Making Hi, I\'m Kamal Khumar, a data science professional with a passion for turning complex data into actionable insights. Currently part of the RWE IT Graduate Programme, rotating with the Data Excellence team at RWE Generation in Essen. With a Master’s degree in Data Science from FAU Erlangen-Nürnberg and a strong background in Python programming, machine learning, and statistical analysis, I\'ve had the privilege of working on cutting-edge projects across industries like energy, healthcare, and technology. What I Do: I specialize in leveraging data to solve real-world problems, with a focus on driving better business outcomes. My expertise includes optimizing machine learning models, developing impactful data visualizations, and engineering efficient data pipelines. I have hands-on experience with advanced analytics tools such as Pandas, Scikit-learn, and TensorFlow, as well as powerful data visualization platforms like Power BI and Tableau. Additionally, I am proficient in using Alteryx for data processing and Databricks for big data management. My cloud experience spans across AWS and Azure, enabling me to build and deploy scalable solutions. What I’m Passionate About: I\'m deeply passionate about innovation and sustainability. I believe that data science can play a crucial role in creating more sustainable business practices, and I\'m committed to using my skills to make a positive impact. From automating processes to improving pricing strategies, I’m always looking for new ways to push the boundaries of what’s possible with data. 🤝 Let’s Connect: I’m always eager to connect with fellow professionals and explore opportunities to collaborate. Whether you’re interested in discussing data science trends, sharing insights on machine learning, or exploring potential collaborations, feel free to reach out!
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