Danniela Rodríguez

Data Analyst

Forum Super Mayorista•  December 2023 - Present

- Collect and analyze data sets using SQL and PowerBI to develop reports and insights to support strategic decision-making. - Identify information needs and generate interactive reports that provide a clear and accurate view of company performance. - Improve and troubleshoot existing reports, ensuring their quality and relevance for decision-making. - Automate the generation of reports, using tools such as Python and Google Sheets, to optimize processes and save time in the delivery of recurring reports. - Work closely across departments to understand your data needs and provide valuable information to support your strategic objectives and decisions. - Effectively communicate results and recommendations derived from data analysis in written reports and oral presentations. - Develop Machine Learning models, primarily focused on predictive modeling using advanced techniques such as linear regression, logistic, etc. Which allows us to anticipate trends, make data-driven decisions, and optimize operations, providing valuable information for strategic decision-making.

Data Scientist Teaching Assistant

HENRY TECH LLC•  June 2023 - October 2023

Teaching Assistant (TA) for Henry Data Science students. Main tasks: • Coordinate the group of students with the objective of achieving their adaptation to the program. • Guide students in the first steps of the course and resolve their concerns. • Assisting and accompanying in the resolution of exercises and promoting group collaboration (Pair Programming). • Propose ideas for the improvement of Bootcamp processes. • Promote group cohesion and generate community.

Marketing Data Analyst

Wulum Creative Technology Ltd•  February 2021 - July 2023

• Collect, clean and analyze data related to marketing performance, including user acquisition, retention, monetization and engagement metrics. • Creation of reports and presentations summarizing findings obtained through data analysis, providing concrete recommendations and actions. • Collaboration with the marketing team and development team to understand the needs and objectives of the study, and use the data to inform decision making. • Conduct in-depth study of successful games on platforms such as Kickstarter and Steam to research and analyze trends, market patterns, and key elements that contributed to their success. • Examine in detail elements such as genre, art style, game mechanics, and marketing strategies used in popular and successful games.

Henry

Data Science, BS•  February 2023 - September 2023

Data Science Bootcamp with 800 hours of internships and real projects. Acquiring skills in Data Engineering, Big Data, Data Analysis, ETL process, Feature Engineering, and Machine Learning. Key Tools and Technologies: • Python for data science: Pandas, Numpy, Matplotlib, Seaborn, SciPy, etc. • Advanced SQL and Database: MySQL, PostgreSQL, SQL Server • NoSQL: MongoDB, Cassandra • Statistics and Probability for Data Science • Metrics and KPIs • Big Data Tool: Kafka, Hadoop, Apache Hive, Apache Airflow, Spark (PySpark - SparkSQL), Databricks, Docker, Virtual Machine • Data visualization, Storytelling, Reports, and Dashboards: Power BI, Tableau • Machine Learning and Deep Learning: Scikit-learn, NLTK, Keras, Transformers

Universidad Nacional Experimental Politécnica "Antonio José de Sucre"

Mechanical Engineering, BS•  March 2014 - January 2019

8 semesters completed (160 UC) • Broad background in mathematics, physics, and statistics, providing a solid analytical foundation and problem-solving skills. • In-depth knowledge of mechanical systems and process analysis, applicable in the context of data analysis and system optimization. • Experience in the design and modeling of mechanical systems, using programming tools and engineering software for simulation and optimization. Proficiency in the use of engineering tools and methodologies to improve the efficiency and performance of mechanical systems. • Ability to collaborate in multidisciplinary teams and apply problem-solving techniques in engineering projects. Subjects that served as a basis for me as a Data Scientist: • Applied Mathematics • Statistics and Probabilities • Digital Programming • Automatic Controls