About

Anil Shinde is a highly experienced Data Scientist and Machine Learning Engineer, with over 3.5 years of relevant experience in real-life projects. Anil is skilled in Python programming, Supervised and Unsupervised Machine Learning algorithms, Time Series Forecasting, and NLP. He has the ability to break down complex problems and develop strategies to solve them, and can translate business objectives into Analytical/ML approaches. Anil is also experienced in performing EDA and identifying hidden patterns. Currently working as a Data Scientist at data sutram, Anil has previously worked as a Machine Learning Engineer at matilda cloud and a Data Scientist at nuevo telesoft private limited. During his time at matilda cloud, Anil worked on Cloud Instance Optimization using Wise score and Univariate and Multivariate Time Series Forecasting using LSTM approach. At nuevo telesoft private limited, Anil worked on several projects, including Optimizing the Car Testing Speed using Machine Learning approach, Investigating and Predicting the Different Customer Churn Scenarios in Telecom using ML in Big Data Platform, and A Hybrid Method for Text-Based Sentiment Analysis. Anil's educational background includes a Doctor of Philosophy - PhD in Mechanical Engineering from punyashlok ahilyadevi holkar solapur university, solapur, as well as a Master's degree in Mechanical Engineering and a Bachelor's degree in Mechanical Engineering from the same university. Anil's technical skills include ML, Data Scientist, Research Scientist, Python, Random Forest, XGBoost, NLP, Scikit, SVM, Pandas, Sentiment Analysis, test, Word2Vec, Big Data, SQL, Supervised Learning, RNN, and Deep Learning. With his 3.70 years of relevant experience, Anil is a highly skilled and knowledgeable Data Scientist and Machine Learning Engineer.