The dictionary is the only place where success comes before work. Kunal is a passionate, hard-working, "make the data work" thinker and works to execute proper data management by focusing on strategic and business alignment.He completed his Post-Graduation (M.B.A.) in Operations and Supply Chain Management. He completed Post-Graduation (M.Tech.) in Data Analytics and Under-Graduation in Mechanical Stream. He is currently pursuing MITx MicroMasters Course by Massachusetts Institute of Technology, Boston (U.S.A), a 1.5 years course covering core concepts of supply chains and a very dynamic course in the supply chain management domain.He has worked with ABB India Ltd. as a Lean Six Sigma Intern in the Vacuum Interrupter plant. He focused mainly on collecting the required data to improve OEE (Overall Equipment Effectiveness). He has worked with SS Supply Chain Solution (3SC), Pune, as Summer Intern in the Supply Chain Analytics division. He has delivered a project focused on Supply Chain Network Design for an FMCG client. He developed some KPIs for business growth and worked on scenario modeling.He has associated with Cummins Inc. as a Data Science Intern in the Advanced Artificial Intelligence division. He worked on a customer segmentation and time series forecasting project where he found prominent customers based on their buying patterns and forecast. He is Supply Chain Enthusiast, Data Scientist, and a "Data Lover" who firmly believes that the "More we torture the data, it starts to speak."M.B.A. - SIOM, NashikAreas of Study:⁕ Supply Chain Management, Operations Research, ProcurementM.Tech. - DSCMS, SPPU, PuneAreas of Study:⁕ Machine Learning, Modeling and Simulation, Advanced StatisticsProgramming Languages and Visualization Tools:⁕ Python, R, SQL, Tableau, Power BITechnical Skills:• Statistical Analysis (Contingency Table Analysis, Hypothesis Testing, P-Value, ROC analysis)• Regression Analysis (Linear Regression, Logistic Regression, Lasso, Ridge)• Natural Language Understanding (Sentiment Analysis, Word embeddings, Word2vec)• Time Series Analysis (Seasonal ARIMA, Exponential Smoothing Models, Arch-Models, Financial Modelling)• Clustering (t-SNE, PCA, LDA, KNN)• Non-Parametric Fast Learning ML Algorithms (Decision Trees, Random Forest, Gradient Boosting, SVM)• Big data framework (Hadoop, Spark)• Deep Learning Models(Multilayered Feed Forward, CNN, RNN, LSTM, GANs)• Deep Learning Frameworks (PyTorch, TensorFlow, Keras)Thanks for visiting the profile. Feel free to write him at: ⁕ Mail ID: 1996kunalsaraf@gmail.com