Sande Glorian

Welcome, my name is Sande. As a diligent and detail-oriented worker with 5 YEARS of expertise in data labeling, 2D and 3D annotation, and LIDAR annotation, I bring a unique skill set to the field of data management. My proficiency in accurately labeling and annotating data sets, coupled with a keen eye for precision, ensures the delivery of high-quality labeled data crucial for machine learning and computer vision applications.

In the realm of 2D and 3D annotation, I excel in providing comprehensive and accurate annotations to facilitate the training of algorithms for image and video analysis. My experience extends to LIDAR annotation, where I contribute to the development of advanced autonomous systems by precisely annotating point cloud data.

Moreover, my skills extend to data entry, where I demonstrate efficiency and accuracy in inputting information into databases. I am well-versed in maintaining data integrity and ensuring that databases are updated and organized for seamless retrieval.

As a worker in the data labeling and annotation domain, I am dedicated to maintaining the highest standards of quality and precision, contributing to the success of machine learning and AI projects. My commitment to delivering accurate and reliable labeled data makes me a valuable asset in the rapidly evolving field of data science and artificial intelligence.

Data entry| Data annotation| Lidar Annotation| Copywriting

As a skilled professional with a degree in Economics and Statistics, I have gained invaluable experience through diverse roles in both strategy and planning as well as production management.

During my tenure as an intern in Strategy and Planning at the Kenya Industrial Research and Development Institute (KIRDI), I actively contributed to the formulation and implementation of strategic initiatives. Through data analysis and statistical modeling, I provided insights that facilitated informed decision-making processes. This experience honed my ability to apply economic principles and statistical methods to real-world scenarios, ensuring effective strategic planning and resource allocation.

Furthermore, my role as a Production Associate at Sama Company equipped me with hands-on experience in the operational aspects of manufacturing. I engaged in various aspects of production management, including inventory control, quality assurance, and process optimization. Collaborating closely with cross-functional teams, I demonstrated my ability to adapt to dynamic work environments and effectively communicate insights to drive operational efficiency.

Through these experiences, I have developed a robust skill set encompassing economic analysis, statistical modeling, strategic planning, and production management. I am eager to leverage my expertise to contribute effectively to challenging projects and drive meaningful impact within dynamic organizations.

Bachelor of Science in Economics and Statistics

  - Maasai Mara University, Kenya, Narok

  - Graduation Date: 16th Dec, 2022

Key Areas of Study

1. Economics:

   - Microeconomics

   - Macroeconomics

   - Econometrics

   - Economic Theory

   - Development Economics

   - International Economics

2. Statistics:

   - Probability Theory

   - Statistical Inference

   - Regression Analysis

   - Time Series Analysis

   - Multivariate Analysis

   - Data Mining and Predictive Modeling

Skills Acquired:

- Proficient in statistical analysis and data interpretation.

- Strong understanding of economic principles and theories.

- Ability to conduct quantitative research and analyze economic data.

- Competence in using statistical software such as R, Python, and SPSS.

- Skilled in data visualization techniques to communicate findings effectively.

- Familiarity with econometric modeling and forecasting methods.

- Solid foundation in mathematics, including calculus and linear algebra.

- Strong analytical and problem-solving skills.

- Excellent communication and presentation abilities.

- Detail-oriented with a commitment to accuracy and precision.

- Ability to work independently as well as part of a team.

Relevant Coursework:

- Econometric Methods

- Applied Statistics

- Mathematical Economics

- Experimental Design

- Survey Sampling Techniques

- Game Theory

- Financial Economics

- Social and Economic Networks

Projects and Research:

- Conducted a research project analyzing the impact of government policies on income inequality using regression analysis.

- Developed a statistical model to forecast sales trends for a local business, improving their inventory management.

- Collaborated on a team project investigating the determinants of economic growth in emerging markets, utilizing panel data analysis techniques.

- Participated in survey design and data collection for a study on consumer preferences in the local market.

Additional Training:

- Completed CSR (Corporate Social Responsibility) training, emphasizing ethical business practices and social responsibility in organizations.

These qualifications demonstrate a strong academic background and practical skills in economics, statistics, and data analysis, making the candidate well-suited for roles that require analytical thinking, data interpretation, and problem-solving abilities.