About

Tushar Patil is a highly skilled Machine Learning Practitioner and Senior Consultant at StatusNeo with over 3 years of experience in the field. He is proficient in programming languages such as Python and Matlab (Simulink) and has an in-depth understanding of various Machine Learning and Computer Vision libraries such as NumPy, Pandas, Matplotlib, Seaborn, Sklearn, TensorFlow, Keras, OpenCV, and Docker. Tushar's experience includes working as a Machine Learning Engineer at TCS, where he worked on developing a PII (Personal Identifiable Information) Masking activity using TensorFlow Object Detection and completed the PoC (Proof of Concept) activity of complete end-to-end development of Semantic Segmentation for Road Scene Understanding and Face Segmentation. He also worked on developing and optimizing MATLAB Simulink models for XF2-MBD-AD1_Longi team of 18 at Nissan Motors, Japan. Tushar was promoted to the Reviewer's team for SWE3 and SWE4 activity where he had to review the work of 8 colleagues. He was awarded the Best Team Award for his contribution in the SWE3 and SWE4 delivery. Prior to his career in Machine Learning, Tushar worked as an Operations and Maintenance Executive at Signode India Limited, where he was responsible for troubleshooting of PLC based machines and managing manpower of 61. He completed various improvement projects such as Standardization and Optimization of consumption of Signode Consumables - 1450 MPW strap and Strength Fabric - to reduce wastage and hence save costs. Tushar has a Bachelor of Technology degree in Electrical Engineering from Bharati Vidyapeeth. He is proficient in various technologies such as ML, Computer Vision, Python, Deep Learning, Object detection, Tensorflow, Keras, Seaborn, OpenCV, Data Scientist, Scikit, Docker, NLP, Pandas, SVM, CNN, DevOps and has a total relevant experience of 5.52 years.