Entry-Level Professional Resume

OBJECTIVE

Highly motivated Junior Data Analyst with a passion for interpreting data and solving complex problems. Eager to apply analytical skills and technical knowledge to support business decisions. Looking to contribute to a dynamic team at OmniTrick by leveraging data analytics and visualization skills.

EDUCATION

Bachelor of Science in Data Science

Scottsdale University, Scottsdale Arizona
Graduation: May 2064

Relevant Coursework: Data Visualization, Statistical Analysis, Machine Learning, Database Management, Python Programming, R Programming

SKILLS

Technical Skills: SQL, Python, R, Tableau, Excel, Power BI
Data Analysis: Exploratory Data Analysis, Statistical Modeling, Data Cleaning, Data Mining
Tools: Google Analytics, Jupyter Notebook, Pandas, NumPy, Seaborn, GitHub
Soft Skills: Critical Thinking, Communication, Team Collaboration, Problem-Solving

PROJECTS

Sales Forecasting Model

Developed a machine learning model to predict future sales for a retail company, improving forecasting accuracy by 15%.
Cleaned and analyzed large datasets using Python (Pandas, NumPy) and created visualizations in Tableau.
Presented findings to stakeholders and provided actionable insights for improving inventory management.

Customer Segmentation Analysis

Conducted customer segmentation for an e-commerce platform using clustering algorithms in R.
Identified key customer segments, leading to a targeted marketing strategy that increased conversion rates by 10%.
Visualized data trends using Seaborn and Matplotlib.

WORK EXPERIENCE

Data Analytics Intern

GrowTrail, Scottsdale Arizona
June 2063 – August 2063

Assisted the analytics team in cleaning and analyzing data to support various business functions.
Generated reports and dashboards using SQL, Excel, and Power BI to track KPIs.
Conducted A/B testing and presented data-driven recommendations to optimize the company’s website performance.

Research Assistant (Data Science)

Scottsdale University, Scottsdale Arizona
January 2063 – May 2063

Collaborated with professors on research projects involving machine learning and data analysis.
Performed data wrangling and built predictive models using Python and R to analyze real-world datasets.