About

Leeladhar Maru is a skilled Data Scientist and Machine Learning Engineer with a passion for solving real-world problems using his expertise in data analysis. He is a quick learner and a team player, currently pursuing a B.Tech in Computer Science from Rajasthan Technical University (Kota). Leeladhar is currently seeking a full-time job in the field of Data Science and Machine Learning. With a strong foundation in programming languages such as Python and C++, Leeladhar has hands-on experience with database management using MySQL. He is proficient in using various Python libraries such as Pandas, Numpy, Seaborn, Sklearn, Plotly, Matplotlib, OpenCV, and BeautifulSoup. Additionally, he has expertise in Deep Learning Libraries such as Keras, Tensorflow, Pytorch, and Tensorrt. He has also worked with DevOps tools such as Docker and Rest Frameworks such as Flask and FastAPI. Currently working as a Data Analyst at Tweek Labs, Leeladhar has built various functions using Python and implemented feature stride speed, stride length, max stride speed, and stride angle in General parameters of fast bowling. He has also extracted motion timestamp images from fast bowling 3D motion video applying OpenCv and built rectangle box on timestamp. He has experience in data analysis and visualization using Python libraries such as plotly and seaborn. Leeladhar has previously worked as a Machine Learning Engineer at VerSe Innovation, where he solved complex problems using Python Basic and implemented various methods to solve text datasets without using Python libraries. He has also worked as a Data Science Trainee at Robotech, where he was organized as a trainee in IIT Delhi of machine learning to participate in Machine Learning and data analytics workshop. Leeladhar holds a Bachelor of Technology degree in Computer Science from Rajasthan Technical University, Kota. He also has a Senior Secondary Education degree in Science-Maths from Yadav Bharti Sr. Sec. School, Bikaner. Leeladhar has relevant experience of 1.19 years and is proficient in various technologies such as ML, Data Scientist, Python, Research Scientist, OpenCV, Jupyter, Seaborn, Keras, SVM, Scikit, Flask, Deep Learning, Docker, Tensorflow, Pandas, DevOps, Pytorch, Random Forest, MySQL, Neural Networks, SQL, Web, NLP, and Computer Vision.