Thrilled to announce that I've accepted an offer from Bharat for a Machine Learning Internship! 🚀 Ready to explore the fascinating world of ML, work on cutting-edge projects, and contribute to Bharat's innovative solutions. Grateful for this opportunity! #MachineLearning #Internship #Bharat_Intern

I am thrilled to announce that I've secured a one-month virtual internship in Data Analytics with Cognorise Info Tech, starting on 01/12/2023! 📊💻I am eager to delve into the world of data analytics and gain hands-on experience with a forward-thinking company like CognoRise InfoTech. This opportunity aligns perfectly with my passion for harnessing the power of data to drive informed decision-making.Throughout this internship, I look forward to honing my analytical skills, collaborating with professionals in the field, and contributing to meaningful projects. I am grateful for the chance to learn from industry experts and apply my academic knowledge to real-world scenarios.Thank you to everyone who has supported me on this journey. I can't wait to embark on this exciting internship and share my learnings with you along the way! 🌟 #DataAnalytics #Internship #ProfessionalGrowth @CognoRise_InfoTech

I'm honored and excited to join the Psyliq team, where my passion for data analysis meets a dynamic and innovative work environment. I am grateful for this incredible opportunity and look forward to contributing my skills to meaningful projects.A huge thank you to everyone who has supported me on this journey. I'm eager to learn, grow, and make a positive impact in the world of data analytics. Let the virtual internship adventure begin! 💼🚀 #DataAnalyst #Internship #Excited

Proud to have served as a video editor at 42k News, where I crafted compelling visual stories that captured moments, sparked discussions, and informed audiences. Through collaboration and creativity, I contributed to delivering engaging content that made an impact. Grateful for the opportunity to refine my editing skills and be part of a dynamic team. Excited to bring these experiences to future projects. Let's connect and explore the world of visual storytelling together

Teamed up with the SWE Machine Learning group to develop and deploy a deep learning model dedicated to image-based product recognition. Utilizing a skill set comprising Python, Java, TensorFlow, and advanced Computer Vision techniques, the project delivered remarkable results. We substantially improved predictive model accuracy by 85% through innovative feature extraction methods and the implementation of Python-based image processing algorithms, ultimately contributing to more effective product identification and classification.created a Java Android app that uses a deep learning model to recognize products. The app has been downloaded 100,000 times and has a 4.5-star rating.