Tejas Hosangadi Email & Phone Number

Tejas Hosangadi is a Co-Founder and CEO at Preloop (YC W24) at Preloop. He possess expertise in python, data science, scikit learn, machine learning, data analysis and 35 more skills. He is proficient in English. Colleagues describe him as "I worked with Tejas on the development and implementation of eCommerce recommendation systems while at MilliporeSigma. He is an excellent data scientist who consistently delivered creative solutions for various complex problems, often under tight timeframes. Tejas has a profound data science knowledge and advanced programming skills. He is a fast learner who captures new methods and technologies quickly. He is also an excellent communicator and has the amazing ability to explain complex technical and statistical concepts in easy-to-understand terms. His exceptional communications skills and his willingness to help team members in need make him an excellent team player. Tejas’s solid quantitative background, advanced technical skills, strong business acumen, and great communication skills make him an invaluable asset to any Data Science team." and "I had the pleasure of being Tejas’s manager while he completed a Data Science internship at MilliporeSigma in the summer of 2018. Besides being an extremely technically competent data scientist, he is also one of the hardest working people I have ever worked with. He has a desire to learn and can pick up new technologies and techniques quickly. It is obvious that he has a passion for data science and a real aptitude for critical thinking and problem solving. One of his skills that eludes many data scientists is his ability to convey complex data science techniques and results clearly and concisely, and he is also a very engaging public speaker. Tejas is great at team work, and can handle adversity and tough situations in a calm and collected manner. I would recommend Tejas for any professional endeavor he wishes to embark upon, as I know he will do whatever he can to ensure he and his team succeed."

Listed skills include Python, Data Science, Scikit Learn, Machine Learning, and 36 others.