Thandeka Chaka

About

As a Data Analyst with a passion for harnessing the power of data, I thrive in translating complex datasets into actionable insights. My journey began at Luther College, where I pursued a Bachelor's in Data Science with a Statistics Concentration, honing my skills in Python, SQL, and Tableau. Achievements include spearheading data analysis as a student manager for the Box office, contributing to the optimization of marketing campaigns and achieving a 10% reduction in customer churn through predictive modeling. My experience as an IT Intern involved updating and maintaining documentation for network systems, ensuring seamless troubleshooting and supporting efficient network management. As a Data Science Research Assistant, I applied machine learning algorithms in Python to analyze unstructured astrophysics data, leading to a research paper presentation at the Luther College Learning Showcase. Collaborating with cross-functional teams, I developed interactive Tableau dashboards as a Summer camp and Conference Liaison, providing real-time insights that influenced strategic decision-making. I also implemented neural network applications using Captcha image datasets during coursework, achieving a 97% accuracy in identifying images and examining racial bias within documented arrests. As an aspiring data scientist and problem solver, I am driven by the pursuit of continuous learning and applying data-driven solutions that create a positive impact. I am enthusiastic about exploring new challenges and collaborating with diverse teams to uncover hidden patterns and drive growth.

Experience

• Customer Data Monitoring Associate · Securitas Technology, MN, USA2023-07-01 – 2024-11-30

  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 to decrease recurring incidents by 15%, thereby improving overall system reliability. Utilized SQL and Pandas for in-depth alarm data analysis, identifying root causes and informing targeted system improvements. Developed interactive Tableau dashboards for real-time insights into alarm trends, enabling proactive decision-making and strategic planning.

• Assistant Box Office Manager · Luther College2019-08-01 – 2023-05-31

  Built and implemented a customer churn prediction model using SQL, 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. Oversaw ticket sales during seasonal concerts, fashion shows, musicals, and other events hosted by the organization. Trained and supervised box office staff, ensuring excellent customer service and adherence to ticketing procedures. Ensured accurate ticket inventory management, tracked sales, and maintained proper records. Maintained effective communication channels with clients, addressing inquiries, clarifying event specifications, and confirming orders to uphold customer satisfaction. Prepared and submitted weekly expense reports to the financial services department, ensuring accuracy and compliance with financial guidelines.

• ITS Summer Intern · Luther College2022-08-01 – 2022-09-01

  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. Updated and maintained documentation for network systems, ensuring efficient troubleshooting. Assisted in the installation and configuration of network switches, gaining hands-on experience in networking infrastructure setup and troubleshooting.

• Conference and Camps Liaison · Luther College2022-05-01 – 2022-08-01

  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. Served as the primary point of contact for camp organizers and conference guests, providing prompt and professional assistance throughout their stay. Facilitated the check-in and check-out process for campers and conference attendees, ensuring a smooth and efficient experience. Coordinated with the Associate Director of Campus Programming to oversee sports camp registration and check-in procedures. Communicated regularly with Facilities, Dining Services, and Security departments to coordinate logistical arrangements and address any specific needs or issues. Performed data entry and basic bookkeeping tasks related to camp and conference operations, ensuring accurate records are maintained.

• Student Research Data Analyst · Luther College2021-05-01 – 2021-07-01

  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.

Education

• Luther CollegeBachelor of Arts - BA, Data Science
• Waterford Kamhlaba UWCSAIB diploma
• Mukaro Girls HighHigh School Diploma
• SpringboardAccelerated Program, Cyber Security

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