Kajal Yadav

Reduced human involvement by 70%, retaining clients through loophole investigation and feature launches. Customized Diffusion models for clients by fine-tuning on specific data. Enhanced existing generative AI models using deep learning frameworks like Pytorch, Transformers, Xformers, Segment_Anything. Added features like Segmentation, Background Removal, Inpainting, Out-painting, Photorealism, Color Control for an end-to-end pipeline.

Built NLP based news aggregator app prototype with 60% less human involvement

Developed a content pipeline with Dagshub’s data version control services to improve Data Scientist’s efficiency by 30%.

Authored 20+ data-rich articles with Octoparse with AI & Data Science expertise, increasing customer retention by 15%.

Authored open-source data science and AI articles, benefiting a global audience of 2,000 followers.

Worked in a team of 50 and assessed them 70% of time. Detected anomalies on Mars Surface (86% confidence). Preprocessed Image: annotated 200 images with anomalies using the VGG image annotator & invented models for the project. Diagnosed all anomalies using YOLOv4; achieved 86% confidence. Led 100% of the task & deployed model successfully on Stream-lit.

Built NLP project to innovate the business metrics over how the competitor sites are performing & increased the revenue by 20%. Trained a team of 10; guided on Scraping, ML, DL, Data insights. Mastered 20 skills including Market research, Data Scraping, EDA, Data Cleaning, Data Analysis, Data Visualization, Data Modeling, Data Mining, Topic Modeling, Data Labeling, Sentiment analysis, N-Grams, Clustering, Classification, Text summarization, Keywords extraction, Collocations, Grammar patterns, and Business consulting.