Venkatesh Pathi

I am an aspiring data scientist who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning.My passion lies in solving business problems with tailored data and algorithms and communicating complex ideas to non-technical stakeholders. I am able to jump across verticals to deliver high-performing AI solutions.I have Internship experience in Machine learning around 9 months, Skilled in Machine Learning and Deep Learning, Previously, I have worked at 4 companies as a Machine learning and Artificial Intelligence Intern developed in Health care, skilled building machine learning predictive modeling models, gone through some researched papers in deep learning, and done data cleaning processed and have knowledge in feature engineering and statistical knowledge by creating best features for building models to predicting, and also I will be participating in the machine learning and data science hackathon, recently in hackerearth machine learning hackathon I have received 1st place over 3000 competitors and at last day of hackathon hackerearth was officially approved me the 3rd place because according to the USA rules I got 3rd place but in the leaderboard I am the first person, and they have appreciated me by providing me the certificate from hackerearth, and also I will be managing my studies and participating in the hackathons and administered my internship, I have great leadership skills and teamwork.I'm graduating in May 2021 and I'm interested in full-time data science or machine learning roles. Please feel free to get in touch with me via email at [email protected]:trained, machine learning, Data science, artificial intelligence, deep learning, experience, data, algorithms, machine learning models, computer vision, image, classification, supervised, unsupervised, CNN, RNN, LSTM, autoencoders, GAN's, seq2seq models, Bi- RNN.