You can find me on:
- Investigating how timing, sector classification, geography, founder background, and media attention impact early stage financing
- Pre-processing for Kaggle dataset from Crunchbase snapshot: companies, people, degrees, milestones, funding rounds
- Visualizing the data through plots, histograms & maps to assess significance of factors
- HTML & API scraping to create external datasets for sentiment analysis to assess media attention
- Training & validating a model that can predict funding success for early stage companies
- Preparing to present & publish the investigation as an economic paper
Python Packages/Libraries:
Matplotlib
Seaborn
APIs:
Google Maps
Perplexity Labs
- Generating sophisticated fashion design images for inspiration & marketing purposes using SDXL model
- Experimenting with different workflows like LCM-LoRA & SDXL Turbo to rapidly explore prompting
- Curating a dataset from Instagram for SDXL LoRA training to refine model understanding of desired style
- Refining the results through further training & fine tuning with Dreambooth, Textual Inversion, Hypernetworks, ControlNet & upscaling
Python Packages/Libraries:
ComfyUI (Modular SD GUI & Backend)
Instaloader (Data Scraping)
Kohya GUI (SDXL LoRA Training)