Create SQL queries to load data into tables and complete profling on the data to see how it is populated and which data is important for analysis. Using matching logic to find related fields to connect them to each other.

Creating an app that uses NLP models like ChatGPT to connect with commonly used applications. Utilized different models created by both OpenAI and HuggingFace for different uses. Utilized vector index tools like LangChain to create connections between data and LLMs and understand what the user has requested to be done. Connected and used numerous APIs by creating custom tools to complete those requests for the user. Used vector storage and buffer storage to simulate long-term and short-term memory for models.

- Utilized Power BI and ThoughtSpot to analyze data for VideoJet and Gartner and for internal projects- Served as the primary reports’ creator for the company’s project with VideoJet; consulted with the VideoJet teams in both the US and in China and created two separate training sessions to ensure both teams were equipped to read the data and utilize the designed tools (Power BI and ThoughtSpot)- Cleaned gathered data in order to streamline report generation and ensure data was more easily ingested by all parties, including clients outside the data science field- Created reports and data stories for clients using ThoughtSpot that best displayed aggregate data and appropriate subsets of the data such as location and field, so clients could better digest collected data- Collaborated with an internal team on a project to optimize employee work flow and task completion by utilizing Smart Sheet and Snowflake to pull data from Bamboo HR for several hundred employees; uploaded data was then transferred by the team into ThoughtSpot for company analysis - Facilitated initial meetings with clients, asking strategic questions to ensure necessary data was captured, utilized more efficiently, and more cleanly displayed in ThoughtSpot; strategized with clients to ensure ThoughtSpot operated optimally, responding to the appropriate verbiage used by the client- Supported business clients by simplifying technology jargon to ensure easy absorption of the data- Recreated former tools utilized by clients to ensure queries operated optimally within ThoughtSpot, increasing tool useability and organizational buy-in

- Trained several full-time employees on Power BI, creating a course with assignments to walk colleagues through each step of the data analytic tool- Utilized Power BI and ThoughtSpot to analyze data for VideoJet- Cleaned gathered data in order to streamline report generation and ensure data was more easily ingested by all parties, including clients outside the data science field- Created reports and data stories for clients using ThoughtSpot that best displayed aggregate data and appropriate subsets of the data such as location and field, so clients could better digest collected data- Consistently recognized by supervisors for efficiency and quality of task completion