Hi, I am Dipans Verma, currently working in CtdTech as GENAI Engineer. I'm someone who is always passionate about Data Science. A person who enjoys working with numbers, a keen observer having ability to effectively manage competing priorities along with capacity to perform under pressure. Professional Summary: • Hands-on experience in MySQL and Microsoft Excel. • Hands-on experience to carry out Data Analysis using Python with some of its useful libraries. • Competency in Microsoft applications including Word, Excel, Powerpoint & Outlook. • A strong business sense & critical thinking mindset with ability to work equally well within a team and independently with minimal supervision. Skills: Artificial Intelligence, Mathematical Modeling, Pytorch, OpenCV, Computer Vision, Python, Deep Learning, Advance Mathematics, R , Statistical Computing ,Machine Learning, Python, Data Mining, BI Tools, Network Science, Statistics, NLP. Online Statistics And Advanced Mathematics Tutor E-learning Brain fuse, Smart think, Yup.com, Trivium Education, Virtual Tutor Subject matter expert to handle K-12 international students and foreign students with their Advance Mathematics problem, Statistics problems by providing online and assignment help. Jul 2019 - June 2024 Data Scintist at Model Media Solution India Pvt Ltd, Mumbai Object Detection using OpenCV (Statistical model and Math concept as Linear algebra, CNN, Fourier transformation) Aim: To get the accuracy for real time image localization and by training images and recording the faces in database file by using SQL. Dec 2018 -May 2019 Detect corner of an image using OpenCV(Deep Learning, Computer Vision, OpenCV and Machine Learning Techniques) Aim: cv2.goodFeaturesToTrack() method finds N strongest corners in the image by Shi-Tomasi method. Here the image should be a grayscale image. Specify the number of corners you want to find and the quality level (which is a value between 0-1). It denotes the minimum quality of corner below which everyone is rejected. Then provide the minimum Euclidean distance between corners detected. May 2019 - Dec 2019 Sentiment Analysis It is a type of data analysis that measures the inclination of people’s opinions using computational linguistics, NLP, and text analysis. Aim: The aim of this project is to determine what viewers think and feel based on the words they use. Depending on the analysis are either binary (+or -) or multiple (happy, angry, sad etc.). Dec 2019-March 2020 Data Science intern at iNeuron.ai Mushroom Classification using Machine Learning May 2022 - Present