Manish Pathak

Manish Pathak's work experience begins in 2015 as a Research Intern at NTPC, where they conducted research on the company's business and technical profile. In 2016, they participated in the Indian Academy of Sciences Summer Fellowship Program, working on the fabrication of hybrid Solar Cells at the National Physical Laboratory.

From 2017 to present, Manish Pathak has worked at MiQ, starting as a Data Science Intern and eventually progressing to roles such as Data Scientist and Senior Data Scientist. Manish has developed machine learning and advanced analytics-based big data products for the digital advertising domain, generating significant revenue for the company. Their work at MiQ was recognized when their product was featured in Analytics India Magazine's Top Data Science Products Built in India 2020.

Manish Pathak is also involved in various mentoring roles. Manish is an AI/ML Mentor at Great Learning, where they have a high average rating for the courses they mentor. Manish is also a Mentor at upGrad, guiding students in an Industry Partnered Capstone Project.

Furthermore, Manish Pathak contributes to the data science community as a Guest Writer for DataCamp, where they have written numerous tutorials on different data science topics. Manish is also a member of the Change Makers Circle at 3AI, a group of industry leaders in the data science and analytics space.

Additionally, Manish Pathak has participated in other research and development roles, including a position as a Summer Research Fellow at the Indian Academy of Sciences and as a Team Lead Data Science at MiQ.

Manish Pathak obtained a Bachelor of Engineering (B.E.) degree in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Pilani, from 2013 to 2018. During the same period, they also pursued a Master of Science (MSc) degree in Physics from the same institution. Additionally, Manish has obtained various certifications from Coursera and DataCamp. These certifications include the DeepLearning.AI TensorFlow Developer Specialization, Sequences, Time Series and Prediction, Convolutional Neural Networks in TensorFlow, Natural Language Processing in TensorFlow, Natural Language Processing with Classification and Vector Spaces, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Cluster Analysis, NLP Fundamentals in Python, Importing Data in Python (Part 1) Course, Importing Data in Python (Part 2) Course, Intermediate Python for Data Science Course, Intro to Python for Data Science Course, Python Data Science Toolbox (Part 1) Course, and Python Data Science Toolbox (Part 2) Course.