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Data Analyst

Location:
Minneapolis, MN
Posted:
October 30, 2024

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Resume:

Sai Rishi Yerramorusu

Minneapolis, MN *****

612-***-**** ************@*****.***

linkedin.com/in/sai-rishi-y github.com/SaiRishiY EDUCATION

University of Minnesota - College of Science and Engineering Minneapolis, MN B.S in Data Science, B.S in Computer Science GPA - 3.5 Expected: May 2027 Relevant Coursework: Advance Programming Principles, Data Structures and Algorithms, Machine Architecture and Organization, Statistics and Probability, Computational Linear Algebra and Discrete Mathematics, Multivariable Calculus. SKILLS

Software Languages: VBA, Python, SQL, JAVA, J2EE, HTML/CSS, C, Ocaml. Tools: Git, Microsoft Applications ( Excel, Word, Access, Power point ), Numpy, GDB, SSH, Script, Spring Framework, JPA. Operating Systems: Linux, Windows, Mac OS.

Databases: MySQL, MongoDb.

PROFESSIONAL EXPERIENCE

Nexus Info - Data Science Internship Remote

Sentiment Analysis Project May 2024 - June 2024

• Conducted an end-to-end sentiment analysis project, including data exploration, preprocessing, EDA, and model training using Naive Bayes, SVM, and LSTM.

• Applied advanced text preprocessing techniques and visualized sentiment distribution through count plots and pie charts, enhancing data understanding and preparation.

• Evaluated models using accuracy, precision, recall, and F1 score. Optimized the SVM model with GridSearchCV, achieving the highest performance metrics among the models.

• Successfully identified the SVM model as the best performer, demonstrating proficiency in handling machine learning projects, model tuning, and interpretation.

Stock Market Prediction Project

• Developed predictive models using historical stock data, involving data preprocessing, EDA, feature selection, model training, and evaluation.

• Implemented Linear Regression, Random Forest Regressor, and Decision Tree Regressor, and applied feature scaling for improved model performance.

• Discovered the significance of feature scaling and the effectiveness of Random Forest in handling nonlinear relationships and reducing overfitting.

• Random Forest Regressor emerged as the most accurate model, demonstrating robustness and accuracy in predicting stock prices. PROJECT EXPERIENCE

International Baccalaureate - Computer Science Project Ooty, TN High School Student July 2021 – Feb 2023

• Conducted an initial client interview to understand requirements and advised on programming language and website complexity choices, aligning with client needs.

• Led the design phase, creating detailed structure, flow diagrams, data flow diagrams, and program flow diagrams to ensure project alignment with client requirements.

• Developed the website template using HTML and CSS, integrated SQL for back-end functionality, and implemented dynamic features using JavaScript, referencing external code sources like GitHub.

• Conducted a post-testing and feedback interview, securing client approval and confirming the successful achievement of established success criteria.

LEADERSHIP EXPERIENCE

University of Minnesota - College of Science and Engineering Minneapolis, MN Teaching Assistant Sep 2024 – Present

• Assist 40+ students in Discrete Mathematics with tailored, example-based explanations.

• Grade exams promptly, offering detailed feedback to enhance student learning.

• Adapt teaching methods to diverse needs, fostering an inclusive classroom environment. University of Minnesota - College of Science and Engineering Minneapolis, MN Orientation Peer Leader May 2024 – Aug 2024

• Lead a group of 13 students daily, four days a week, offering guidance and support on academic and extracurricular matters, and conduct campus tours to familiarize new students with the university environment and resources.

• Facilitate the creation of individualized fall semester schedules, addressing queries related to student activities, classes, and general university life to ensure a smooth transition into university life.

• Communicate with students by providing guidance, working in a group to troubleshoot and resolve student issues effectively.



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