Open to opportunities

Steve Juma

@stevejuma

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Results-driven Data Scientist with expertise in machine learning and analytics.

United States

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What I'm looking for

I am looking for a role that challenges me and allows for growth, ideally in a collaborative environment where I can leverage my data science skills to drive impactful business decisions.

As a results-driven Data Scientist with over 5 years of experience, I specialize in designing and implementing machine learning models that deliver actionable insights. My proficiency in Python, R, SQL, and various data visualization tools allows me to leverage data effectively to solve complex business problems and drive strategic decision-making. I pride myself on my ability to communicate technical findings to non-technical stakeholders, ensuring that insights are understood and actionable.

In my current role as a Senior Data Scientist at ABC Tech Solutions, I have developed machine learning models that improved customer segmentation, leading to a 25% increase in targeted campaign effectiveness. I also built predictive models for sales forecasting, resulting in a 15% improvement in revenue projections. My experience at XYZ Analytics further honed my skills in recommendation systems and anomaly detection, where I successfully enhanced customer retention by 18% and reduced operational risks by 20%. I am passionate about using data to influence product development strategies and drive business growth.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

ABC Tech Solutions

Jun 2020 - Present (5 years 1 month)

Developed machine learning models to improve customer segmentation, increasing targeted campaign effectiveness by 25%. Built predictive models for sales forecasting, resulting in a 15% improvement in revenue projections. Automated ETL pipelines, reducing data processing time by 40%.

Python TensorFlow Machine Learning ETL Data Visualization SQL Hadoop Spark Git

Data Scientist

XYZ Analytics

May 2017 - May 2020 (3 years)

Designed and implemented recommendation systems, enhancing customer retention by 18%. Conducted exploratory data analysis and feature engineering to support model development. Developed an anomaly detection system that reduced operational risks by 20%.

Python R SQL Machine Learning NLP Data Analysis Tableau PostgreSQL Jupyter Notebooks

Data Analyst Intern

DEF Corporation

Jun 2016 - Apr 2017 (10 months)

Assisted in cleaning and analyzing datasets to uncover trends in consumer behavior. Created dashboards in Tableau, improving reporting efficiency by 30%. Supported senior analysts in A/B testing for marketing campaigns.

Data Cleaning Data Analysis Tableau SQL A B Testing Excel Reporting consumer behavior Matplotlib

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley

Master of Science, Data Science

Completed advanced coursework in statistical modeling, machine learning, and big data technologies. Focused on applying data science principles to solve complex real-world problems and drive data-driven decision-making.

University of Texas, Austin

Bachelor of Science, Computer Science

Studied foundational concepts in computer science, including programming languages, data structures, and algorithms. Developed strong problem-solving skills and a comprehensive understanding of software development principles.