Machine Learning Data Scientist

Nithin Sai Nandelli

774-***-**** # *****************@*****.*** ï Nithin Sai Nandelli

Professional Summary

Dynamic Software Engineer and Data Scientist with expertise in developing scalable, data-driven solutions using Python, Java, and JavaScript. Proficient in machine learning, advanced statistical methods, and collaborating with cross-functional teams to deliver impactful products across various industries. Passionate about leveraging AI to drive innovation, enhance decision-making, and improve operational efficiency through high-quality code. Skills

Languages: C, C++, Java, Python, R, MATLAB, JavaScript, HTML, CSS, XML Technologies: React.js, Angular, Vue.js, Django, Flask, TensorFlow, PyTorch, Apache Hadoop, Bootstrap, Flask, .NET, Node.js, TensorFlow, Scikit-learn, Apache Spark, NLTK, SpaCy Tools and Services: Microsoft Azure, AWS Cloud9, PowerBI, Google Cloud Platform, Amazon S3, Databricks, AWS Lambda, Amazon DynamoDB, AWS SageMaker

Soft Skills: Communication, Collaboration, Adaptability, Problem Solving, Time Management, Teamwork, Leadership Education

University of Massachusetts Dartmouth, Dartmouth, MA 09/2022 – 08/2024 Master’s in Data Science GPA: 3.8 / 4.00

Sreenidhi Institute of Science and Technology, Hyderabad, India 08/2017 – 08/2021 Bachelor’s in Computer Science and Engineering GPA: 3.6 / 4.00

• Achieved a gold medal in a nationwide hackathon by developing an augmented reality-based system that resolves land disputes in India through precise virtual boundaries, utilizing GPS coordinates from government databases to enable farmers to visualize and manage their land effectively, and implemented on the Unity platform to enhance agricultural efficiency and sustainability.

Experience

Quintessential Design, India Machine Learning Intern Jun 2020 – August 2020

• Applied advanced statistical methods and machine learning algorithms, including regression and ensemble techniques, to uncover trends, resulting in a 20% improvement in the accuracy of time series forecasting models.

• Utilized data visualization tools to present complex insights to diverse audiences, improving stakeholder engagement and decision-making efficiency by 30%.

Cedar Info Tech, India Intern May 2019 – August 2019

• Contributed to the design and implementation of a loan disbursal application using .NET and SQL, achieving a 35% reduction in manual intervention and a 15% faster loan processing time.

• Collaborated with cross-functional teams, including designers, product managers, and backend developers, to deliver high-quality features and enhancements, resulting in a 25% increase in user satisfaction ratings. Projects

Customer service chatbot using GPT-4 GPT-4 API, Python, TensorFlow, AWS, MongoDB, RESTful APIs, Google Analytics, Jupyter Note

• Developed a customer service chatbot using GPT-4 and integrated it with AWS for scalable deployment, improving response accuracy and personalization while enhancing performance through fine-tuned models and prompt engineering techniques.

• Collaborated with cross-functional teams to automate customer feedback analysis, reducing manual processing time by 40 percent and increasing overall customer engagement. Predictive Analysis of Player Performance in EA Sports FIFA 2022 Career Mode Python, Numpy, Scikit learn, Tensorflow

• Explored player performance within FIFA 2022 Career Mode by analyzing in-game attributes, historical data, and contextual factors, applying machine learning techniques to enhance prediction accuracy.

• Conducted feature selection and engineering to identify key performance indicators, providing valuable insights into the intersection of sports simulation and predictive analytics while improving model interpretability. Certifications

– Generative AI: Working with Large Language Models – Introduction to Large Language Models

– Anaconda Python for Data Science Professional – Hands-On AI: Building LLM-Powered Apps

– Career Essentials in Generative AI by Microsoft – Python Statistics Essential Traning

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