About

Shantanu Khandke is an experienced Data Analyst, Machine Learning Engineer and Deep Learning practitioner with over 5 years of relevant experience. He has a strong understanding of extracting insights from data, performing descriptive analysis, data mining, data scrapping and representing it in the form of visual reports to the management for collectively improving the business process. Shantanu has extensive experience in executing Machine Learning and Deep Learning skills to real-world problems for effective solutions and leveraging predictive analytics. He has mainly worked on NLP based problems consisting of various text data such as consumer reviews, call centre data, social media tweets, customer support data, etc. He has analyzed them to bring out insights, preprocessing & cleaning, applying various vectorization techniques and followed by applying various classification algorithms and sentiment analysis. He has also performed customer segmentation by building a clustering methodology and grouping similar data points. He has performed on large Retail datasets (e-commerce) and also finding out the RFM (recency, frequency, monetary) clustering score. Shantanu has expertise in visualization of data in depth keeping in mind the various business verticals and has extensively used excel to make dynamic dashboards. He has made in-depth analysis with the help of Python Libraries(Pandas, Numpy, Matplotlib, Seaborn) to map consumer behaviour, demographic-(revenue, retained users, payment methods, etc.), top-selling products, least sale days. Shantanu's technical skills include Analytics & Data Visualization using Excel, Programming Languages such as Python, SQL, Machine Learning algorithms such as KNN, Clustering, Recommendation Systems, Linear&Logistic Regression, SVM, Naive Bayes, Random Forest, Decision Tree, Ensemble Models, and Deep Learning algorithms such as Artificial Neural Network, CNN, RNN. LSTM, MLP, Encoders-Decoders, TensorFlow, Keras. He has previously worked with Mystery Works as a Machine Learning Data Analyst where he developed Dynamic Dashboards with the help of excel to represent them to the management and client. He was responsible for performing pre-processing and applying various vectorization techniques on text data. Further applying various classification algorithms(SVM, Logistic Regression, Decision Trees) and sentiment analysis. He has also worked with Vendekin as a Junior Data Analyst where he worked very closely with customer feedback data and understanding the problems and assisting the operations team to build a better application process. Shantanu holds a Bachelor’s Degree in Electronics and Telecommunication from Savitribai Phule Pune University and a