Machine Learning Data Analysis

Laxmi Sowjanya Doddi

+1-616-***-**** Email LinkedIn GitHub

I am a Computer Science graduate with experience in data analysis, visualization, and machine learning. I am skilled in SQL, Python, and building dashboards using Tableau. Demonstrated ability to design and implement data pipelines (ETL), model data for integration, and analyze data to derive insights. Eager to contribute to distributed data processing systems and collaborate with cross-functional teams. Adoptable to work as an individual or working as a team to implement solutions for technical problems.

Interactive HR Analytics Dashboard May 2025

Designed an interactive HR dashboard in Microsoft Excel to visualize workforce composition, employee retention, onboarding and compensation trends.

Enabled leadership to make data-driven decisions by providing clear, actionable workforce insights.

Heart Risk Prediction using Machine Learning Apr 2025

Built and evaluated machine learning models (KNN, SVM, Random Forest, Decision Tree, Logistic Regression) to predict heart attack risk.

Analyzed a dataset of 70,000+ patient records with 11 features, leveraging Python libraries

(Scikit-learn, Matplotlib) for modeling and visualization.

Achieved 70% accuracy with Logistic Regression, the best-performing model: project available on GitHub.

Languages & Tools: Python, SQL, Tableau, Power BI, Git, HTML, CSS, JavaScript

Data Skills: Data Analysis, Data Mining, Data Visualization, Data Modeling, ETL Pipelines

Systems & Frameworks: Unix/Linux (basic), Git/GitHub

Soft Skills: Team Collaboration, Stakeholder Communication, Agile Adaptability Deloitte Data Analytics Virtual Internship June 2025 Forage – Remote

Completed a practical job simulation program focused on core tasks performed by Deloitte’s data analysts.

Gained hands-on experience in data analysis and forensic technology, including data cleaning, investigation, and reporting.

Applied analytical thinking to simulate real-world business problems using Excel and data visualization tools.

PROFESSIONAL SUMMARY

PROJECTS

SKILLS

K

INTERNSHIPS

Web Developer Intern Nov 2021 – Feb 2022

Raise Digital Company - Remote

Collaborated on front-end development of E-commerce websites using HTML5, CSS3, JavaScript, and Bootstrap.

I participated in Agile sprint meetings and used GitHub for version control. Gained exposure to cross-functional communication and stakeholder requirement gathering. Grand Valley State University Fall 2023 – Winter 2025 Master’s in applied computer science

Cumulative GPA: 3.2

Relevant Coursework: Data Analysis, Data Visualization, Machine Learning Gayatri Vidya Parishad June 2020 – April 2023

Bachelor’s in computer science and engineering

Cumulative GPA: 3.4

EDUCATION

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