I am a data-driven analyst passionate about leveraging data to drive smart business decisions. I have developed strong skills in Python, SQL, Tableau, and other data analysis tools through my education and various roles. I enjoy building predictive models and creating insightful visualizations to help organizations optimize their operations. With experience ranging from customer data monitoring to research analysis, I am eager to take on challenging roles where I can apply my skills to contribute to innovative, data-driven solutions that propel business growth and efficiency.

Thandekar Uvimbo Chaka

I am a data-driven analyst passionate about leveraging data to drive smart business decisions. I have developed strong skills in Python, SQL, Tableau, and other data analysis tools through my education and various roles. I enjoy building predictive models and creating insightful visualizations to help organizations optimize their operations. With experience ranging from customer data monitoring to research analysis, I am eager to take on challenging roles where I can apply my skills to contribute to innovative, data-driven solutions that propel business growth and efficiency.

Available to hire

I am a data-driven analyst passionate about leveraging data to drive smart business decisions. I have developed strong skills in Python, SQL, Tableau, and other data analysis tools through my education and various roles. I enjoy building predictive models and creating insightful visualizations to help organizations optimize their operations.

With experience ranging from customer data monitoring to research analysis, I am eager to take on challenging roles where I can apply my skills to contribute to innovative, data-driven solutions that propel business growth and efficiency.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent
Shona
Fluent
French
Intermediate

Work Experience

Customer Data Monitoring Associate at Securitas Technology
November 1, 2024 - July 9, 2025
Enhanced operational efficiency by leveraging advanced data analytics to identify patterns and trends in alarm data, resulting in a 20% reduction in false alarms. Implemented data-driven response protocols that decreased recurring incidents by 15%, improving overall system reliability. Utilized SQL and Pandas to conduct in-depth analyses of alarm data, identifying root causes and informing targeted system improvements. Developed interactive Tableau dashboards to provide real-time insights into alarm trends, enabling data-driven decision-making and proactive response strategies.
Assistant Box Office Manager at Luther College
May 1, 2023 - July 9, 2025
Built and implemented a customer churn prediction model using R, reducing churn rate by 10%. Utilized SQL and Pandas to analyze customer demographics and purchase history, identifying key marketing segments and informing targeted campaigns. Collaborated with senior data analysts to develop and implement data-driven marketing strategies, leading to a 12% increase in ticket sales. Created interactive Tableau dashboards for real-time sales insights, enabling data-driven decision making for marketing and box office operations. Presented data-driven recommendations to management, influencing strategic decisions to optimize ticket pricing and scheduling.
Camps & Conference Project Coordinator at Luther College
July 1, 2022 - July 9, 2025
Analyzed revenue data from summer camps and conferences using MySQL, identifying cost-saving opportunities and increasing profit margin by 30%. Developed and presented data-driven reports to senior management, influencing budget allocation and program development for future seasons. Collaborated with cross-functional teams to design interactive Tableau dashboards, providing real-time insights for improved operational efficiency. Utilized Excel to analyze customer data and identify cost savings from customer turnover.
Information Technology Systems Intern at Luther College
September 1, 2022 - July 9, 2025
Collaborated in the front-end web development redesign for transition from traditional telephones to Zoom, increasing website reliability by 15%. Utilized SQL queries to analyze departmental needs and prioritize project changes, resulting in a 20% reduction in development time. Collaborated with senior IT professionals to install and configure network switches, expanding campus network capacity by 30%. Developed and maintained comprehensive network system documentation, improving maintenance efficiency by 10%. Contributed to resolving daily network-related issues, ensuring uninterrupted connectivity for the 5,000-student campus.
Student Research Data Analyst at Luther Physics Department College
July 1, 2021 - July 9, 2025
Utilized SQL queries to extract data from the M23 open cluster to identify eclipsing binary systems, which was used in the development of a predictive model for the outburst of mono periodic long pulsating variable stars. Conducted data cleaning and feature engineering using Pandas and Numpy, enhancing the dataset quality for identifying outburst events in mono-periodic long pulsating variable stars. Employed data visualization techniques in Kaleida graphs to present research findings, making them accessible to both technical and non-technical audiences during the Luther Showcase Seminar.
Customer Data Monitoring Associate at Securitas Technology
November 1, 2024 - July 9, 2025
Enhanced operational efficiency by leveraging advanced data analytics to identify patterns and trends in alarm data, resulting in a 20% reduction in false alarms. Implemented data-driven response protocols that decreased recurring incidents by 15%, improving overall system reliability. Utilized SQL and Pandas to conduct in-depth analyses of alarm data, identifying root causes and informing targeted system improvements. Developed interactive Tableau dashboards to provide real-time insights into alarm trends, enabling data-driven decision-making and proactive response strategies.
Assistant Box Office Manager at Luther College
May 1, 2023 - July 9, 2025
Built and implemented a customer churn prediction model using R, reducing churn rate by 10%. Utilized SQL and Pandas to analyze customer demographics and purchase history, identifying key marketing segments and informing targeted campaigns. Collaborated with senior data analysts to develop and implement data-driven marketing strategies, leading to a 12% increase in ticket sales. Created interactive Tableau dashboards for real-time sales insights, enabling data-driven decision making for marketing and box office operations. Presented data-driven recommendations to management, influencing strategic decisions to optimize ticket pricing and scheduling.
Camps & Conference Project Coordinator at Luther College
July 1, 2022 - July 9, 2025
Analyzed revenue data from summer camps and conferences using MySQL, identifying cost-saving opportunities and increasing profit margin by 30%. Developed and presented data-driven reports to senior management, influencing budget allocation and program development for future seasons. Collaborated with cross-functional teams to design interactive Tableau dashboards, providing real-time insights for improved operational efficiency. Utilized Excel to analyze customer data and identify cost savings from customer turnover.
Information Technology Systems Intern at Luther College
September 1, 2022 - July 9, 2025
Collaborated in the front-end web development redesign for transition from traditional telephones to Zoom, increasing website reliability by 15%. Utilized SQL queries to analyze departmental needs and prioritize project changes, resulting in a 20% reduction in development time. Collaborated with senior IT professionals to install and configure network switches, expanding campus network capacity by 30%. Developed and maintained comprehensive network system documentation, improving maintenance efficiency by 10%. Contributed to resolving daily network-related issues, ensuring uninterrupted connectivity for the 5,000-student campus.
Student Research Data Analyst at Luther Physics Department College
July 1, 2021 - July 9, 2025
Utilized SQL queries to extract data from the M23 open cluster to identify eclipsing binary systems, which was used in the development of a predictive model for the outburst of mono periodic long pulsating variable stars. Conducted data cleaning and feature engineering using Pandas and Numpy, enhancing the dataset quality for identifying outburst events in mono-periodic long pulsating variable stars. Employed data visualization techniques in Kaleida graphs to present research findings, making them accessible to both technical and non-technical audiences during the Luther Showcase Seminar.
Customer Data Monitoring Associate at Securitas Technology
November 30, 2024 - September 4, 2025
Enhanced operational efficiency by leveraging advanced data analytics to identify patterns and trends in alarm data, resulting in a 20% reduction in false alarms. Implemented data-driven response protocols that decreased recurring incidents by 15%, improving overall system reliability. Utilized SQL and Pandas for in-depth alarm data analysis, identifying root causes and guiding targeted system improvements. Developed interactive Tableau dashboards providing real-time insights into alarm trends to enable proactive response and data-driven decision-making.
Assistant Box Office Manager at Luther College
May 31, 2023 - September 4, 2025
Built and implemented a customer churn prediction model using R that reduced churn rate by 10%. Used SQL and Pandas to analyze customer demographics and purchase history, identifying key marketing segments and informing targeted campaigns. Collaborated with senior analysts to develop and deploy data-driven marketing strategies, leading to a 12% increase in ticket sales. Created interactive Tableau dashboards for real-time sales insights to enable data-driven marketing and box office decisions. Presented data-driven recommendations to management to optimize ticket pricing and scheduling.
Camps & Conference Project Coordinator at Luther College
July 31, 2022 - September 4, 2025
Analyzed revenue data from summer camps and conferences via MySQL, identifying cost-saving opportunities and increasing profit margin by 30%. Developed and presented data-driven reports to senior management influencing budget allocation and future program development. Collaborated with cross-functional teams to design interactive Tableau dashboards delivering real-time operational insights. Utilized Excel for data analysis to identify cost savings related to customer turnover.
Information Technology Systems Intern at Luther College
September 30, 2022 - September 4, 2025
Collaborated on front-end web development redesign to transition from traditional telephony to Zoom, increasing website reliability by 15%. Used SQL queries to analyze departmental needs and prioritize project modifications, achieving a 20% reduction in development time. Assisted senior IT professionals with installation and configuration of network switches, enhancing campus network capacity by 30%. Developed and maintained comprehensive network system documentation, improving maintenance efficiency by 10%. Resolved daily network issues to ensure uninterrupted connectivity for a 5,000-student campus.
Student Research Data Analyst at Luther Physics Department College
July 31, 2021 - September 4, 2025
Utilized SQL queries to extract astronomical data from the M23 open cluster to identify eclipsing binary systems, contributing to predictive modeling of mono-periodic long pulsating variable stars' outbursts. Conducted data cleaning and feature engineering with Pandas and Numpy to enhance data quality for identifying such outburst events. Employed Kaleida graphs for data visualization to effectively present research findings to mixed audiences during the Luther Showcase Seminar.

Education

Bachelor of Arts at Luther College
January 1, 2019 - June 1, 2023
Bachelor of Arts at Luther College
January 1, 2019 - June 1, 2023
Bachelor of Arts at Luther College
January 11, 2030 - June 1, 2023

Qualifications

Davis United World College Scholarship Recipient
January 1, 2019 - December 31, 2023
Beta Theta Omega (BTQ) President
January 1, 2019 - December 31, 2023
International Student Association and Allies (ISAA) Secretary
January 1, 2019 - December 31, 2023
Davis United World College Scholarship Recipient
January 1, 2019 - December 31, 2023
Beta Theta Omega (BTQ) President
January 1, 2021 - December 31, 2023
International Student Association and Allies (ISAA) Secretary
January 1, 2021 - December 31, 2023

Industry Experience

Education, Software & Internet, Telecommunications, Professional Services, Computers & Electronics