Rosany Teran

Data Scientist

• Worked on end-to-end development of AI systems integrating ML, Computer Vision, NLP, Robotics, Chatbots, and Recommendation Engines, achieving significant results such as a 40% reduction in equipment downtime, 94% accuracy in NLP context prediction, and successful collaboration with Upwork clients.
• Worked as a database project manager, worked closely with the CEO to convert Microsoft Access Database to a Web Application.
• Worked on a cryptocurrency project, TAO Bittensor to integrated GPU Machine in one of the subnetworks.
• Worked on a cryptocurrency project, TAO Bittensor to improve modeling strategy on the subnets.
• Worked closely with managers, engineers, researchers, scientists to maintain codebases, minimize toil, and enhance documentation in alignment with industry-standard software engineering best practices.
• Worked with clients to understand business needs and translate those needs into actionable reports using Data Visualization Tools like Python (Matplotlib, Seaborn, Plotly), Tableau, Google Looker, Power BI and Microsoft Excel to create reports and dashboards.
• Created dashboards, infographics, reports such as: HR Employee dashboard, Financial Module, Sales Dashboard, Supply Chain Dashboards, Medical EMR dashboard, Movie Production Recommendation Dashboards, Store Shopify Wholesale & Retail Dashboards, Uber Analytics Dashboards.
• Design and implemented a web scraping system to extract data from various online sources.
• Conducted basic Statistical Analysis on data to generate valuable insights.
• Designed algorithms to track and detect anomalies in multiple sensor data for Energy Industry.
• Built predictive models using various machine learning tools to predict possibility of equipment failure.
• Analyzed data and provided 15 recommendations for improving budgeting, forecasting, and modeling key metrics, which were adopted by management 1 week after presentation.
• Analyzed and interpreted data from 100+ sources to identify trends, patterns, and other useful information in healthcare research projects.

Data Scientist

• Actively engaged in quantitative analysis of modeling to address business issues.
• Conducted business analysis to understand business needs and requirements to translate it to a business proposal in the Cash Automation Industry.
• Evaluated analytical model findings in Global Monitoring report of Cash Automation Products.
• Developed Key Performance Indicators (KPIs) and presented it to management and stakeholders.

Data Analyst | Data Scientist - Freelance

• Processed, cleaned and formatted various data using NumPy and Pandas from PJM Administrative Cost Rates data.
• Utilized PDF parsing libraries: pyPDF2, pymupdf and pdfminer.
• Utilized keyword-matching technology and natural language processing to extract necessary cost from the raw text.
• Successfully extracted key cost figures from 10,000+ pages of PDF documents spanning 3 categories.
• Demonstrated proficiency in data harvesting from PDF tables.
• Developed and executed customized scripts to accurately identify and pull cost data from tables in heterogeneous PDF layouts.