AI and Machine Learning Data Analyst Resume
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Professional Summary
Detail-oriented Data Analyst with 5+ years of experience in machine learning and advanced analytics. Strong expertise in Python, R, SQL, and data visualization, with a proven track record of delivering actionable insights through predictive modeling and data-driven strategies.
Key Skills
Data Analysis & Visualization: Excel, Power BI, Tableau, Python (Pandas, NumPy, Matplotlib)
Machine Learning: Supervised and unsupervised learning, Regression, Classification, Clustering
Programming Languages: Python, R, SQL
Machine Learning Frameworks: Scikit-learn, TensorFlow, Keras, XGBoost
Data Wrangling & Cleaning: Data preprocessing, feature engineering
Big Data Tools: Hadoop, Spark (basic knowledge)
Databases: MySQL, PostgreSQL, MongoDB
Statistical Analysis: Hypothesis testing, A/B testing, statistical modeling
Professional Experience
Data Analyst (AI & Machine Learning)
Innovate Data Labs, San Francisco, CA
January 2054 – Present
Developed machine learning models to predict customer behavior, boosting accuracy by 30%.
Cleaned and processed large datasets using Python and SQL for analysis.
Created Tableau dashboards to visualize key metrics and track performance.
Collaborated with teams to integrate models into real-time systems for better decision-making.
Junior Data Analyst
Future Tech Solutions, Chicago, IL
June 2052 – December 2053
Assisted in building predictive models to improve sales forecasts by 20%.
Analyzed customer data to support marketing campaigns, increasing retention by 12%.
Conducted A/B tests to assess the impact of different marketing strategies.
Education
Master of Science in Data Science
University of California, Berkeley, CA
Graduated: May 2052
Bachelor of Science in Computer Science
University of Illinois, Urbana-Champaign, IL
Graduated: May 2050
Certifications
Google Data Analytics Professional Certificate – Coursera (2050)
Machine Learning by Stanford University – Coursera (2049)
Deep Learning Specialization – Coursera (2051)
Projects
Customer Churn Prediction Model
Developed a logistic regression model to predict churn, achieving 90% accuracy and reducing churn by 15%.
Sales Forecasting with Time Series
Created a time series forecasting model with ARIMA, improving forecast accuracy by 22%.
Additional Information
Languages: English (Fluent), Spanish (Intermediate)
Technical Blogs: Write articles on machine learning and AI on Medium and LinkedIn
References
Available upon request.
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