Rishabh Tiwari

Background

About Rishabh Tiwari

Innovative Data Scientist | Machine Learning Expert | NLP Enthusiast | AI Wizard Unlocking the Potential of Data to Drive Results and Transform Businesses Welcome to my LinkedIn profile! I am a seasoned Data Scientist with extensive experience in leveraging advanced analytics and cutting-edge technologies to derive actionable insights and foster business growth. My expertise spans machine learning, natural language processing (NLP), and AI development, where I have consistently delivered transformative results. Professional Highlights- Campaign Budget Optimization- Revolutionized Facebook and YouTube campaigns using optimized machine learning algorithms, significantly enhancing performance- Developed AI tools with Stability Diffusion and Convolutional Neural Networks (ResNet-50) to generate heatmaps for ad images, driving data-driven decision-making in advertising- NLP Expertise- Proficient in semantic similarity calculations, sentiment analysis, and language translation- Developed a robust Resume Parser using advanced NLP techniques (Spacy, BERT), streamlining recruitment by accurately extracting relevant information from resumes- Generated themes, Story arcs, Character arcs, Genre detection from Tv show episodes via Cross encoder techniques and Generative AI- Implemented OCR and text extraction from PDF files and Big Boss Episodes using Python - Automation & Visualization- Implemented automated PowerPoint reports and dynamic visualizations with Python, empowering stakeholders with real-time data insights- Expert in server deployment and performance optimization, ensuring reliable model performance in production using FastAPI, Streamlit, and GCP- Generative AI & Object Detection- Worked on projects involving Generative AI and object detection- Utilized and fine-tuned LLM models like LLaMA2 and BERT, and applied prompt engineering using PALM AI-Text Bison via Vertex AI- Audio & Video Analysis- Employed OpenAI Whisper for advanced audio analysis- Applied YOLO for object detection, and worked on pose detection, face recognition, emotion detection, activity, and location detection from videos- Developed systems for tracking real-time objects in videos.