gireesh guntupalli

I am a passionate and results-driven Data Scientist with a strong track record of delivering high-impact projects across diverse industries. With a Master’s in Mechatronics from Universität Siegen, Germany, and hands-on experience in machine learning, deep learning, and MLOps, I specialize in transforming complex data into actionable insights that drive business outcomes.

My expertise lies in:

Machine Learning & AI: Building and deploying end-to-end ML pipelines, optimizing models, and fine-tuning algorithms for real-world applications.

Data Engineering: Automating data workflows, managing large datasets, and developing scalable solutions using Python, SQL, and cloud platforms like AWS and Azure.

Generative AI & NLP: Leveraging Large Language Models (LLMs) like GPT and Llama, and frameworks like HuggingFace and LangChain to develop innovative AI solutions.

Collaboration & Leadership: Working cross-functionally with product managers, domain experts, and engineers to align data solutions with business goals.

During my tenure at Bosch Sensortec GmbH, I developed predictive maintenance models for semiconductor manufacturing, achieving <1% error rates and reducing production risks by 22 weeks. I also designed and implemented Generative AI solutions, including multi-agent RAG-based chatbots, which improved operational efficiency by 50%.

I am deeply motivated by the potential of data science to solve real-world problems and drive innovation. Whether it’s optimizing supply chains, improving customer experiences, or advancing healthcare solutions, I thrive on tackling complex challenges and delivering measurable results.

Outside of work, I enjoy mentoring students in AI and coding, contributing to open-source projects, and exploring creative pursuits like screenplay writing and filmmaking. I am always eager to learn, adapt, and grow, and I am excited to connect with like-minded professionals who share a passion for data-driven innovation.

Let’s connect and explore how we can collaborate to create impactful solutions!

I am a passionate and results-driven Data Scientist with a strong track record of delivering high-impact projects across diverse industries. With a Master’s in Mechatronics from Universität Siegen, Germany, and hands-on experience in machine learning, deep learning, and MLOps, I specialize in transforming complex data into actionable insights that drive business outcomes.

My expertise lies in:

Machine Learning & AI: Building and deploying end-to-end ML pipelines, optimizing models, and fine-tuning algorithms for real-world applications.

Data Engineering: Automating data workflows, managing large datasets, and developing scalable solutions using Python, SQL, and cloud platforms like AWS and Azure.

Generative AI & NLP: Leveraging Large Language Models (LLMs) like GPT and Llama, and frameworks like HuggingFace and LangChain to develop innovative AI solutions.

Collaboration & Leadership: Working cross-functionally with product managers, domain experts, and engineers to align data solutions with business goals.

During my tenure at Bosch Sensortec GmbH, I developed predictive maintenance models for semiconductor manufacturing, achieving <1% error rates and reducing production risks by 22 weeks. I also designed and implemented Generative AI solutions, including multi-agent RAG-based chatbots, which improved operational efficiency by 50%.

I am deeply motivated by the potential of data science to solve real-world problems and drive innovation. Whether it’s optimizing supply chains, improving customer experiences, or advancing healthcare solutions, I thrive on tackling complex challenges and delivering measurable results.

Outside of work, I enjoy mentoring students in AI and coding, contributing to open-source projects, and exploring creative pursuits like screenplay writing and filmmaking. I am always eager to learn, adapt, and grow, and I am excited to connect with like-minded professionals who share a passion for data-driven innovation.

Let’s connect and explore how we can collaborate to create impactful solutions!

I hold a Master’s in Mechatronics from Universität Siegen, Germany, where I graduated with a CGPA of 2.2 (equivalent to 7.8-8.2/10), specializing in data science, algorithm optimization, and predictive maintenance. Prior to this, I completed my Bachelor of Technology in Mechanical Engineering from Gudlavalleru Engineering College, JNTU-K, India, achieving a CGPA of 9.31/10. My academic journey equipped me with a strong foundation in analytical thinking, problem-solving, and technical expertise, which I have successfully applied to real-world data science challenges across industries.