About

Mukul Munjal is a highly skilled Cloud Technical Solutions Engineer at Google with extensive experience in Data Intelligence, Data warehousing, Descriptive and Predictive Analysis, Python, Machine Learning, Tableau, SAP Analytics Cloud, Data ETL, BW/4HANA, SAP BW(7.3, 7.4 & 7.5), HANA modelling, etc. With over 5 years of experience in the field, Mukul is a Data Science Enthusiast who specializes in Machine Learning topics. Mukul has a good understanding and project-based experience in requirements gathering, analysis, design, implementation, deployment, testing, upgrade, and post-production support. He has worked on various projects involving algorithms such as Linear Regression, Multiple Linear Regression, Logistic Regression, TF-IDF, Clustering, K-means clustering, KNN, Decision trees, Ensemble modeling(Bagging, Boosting), Random Forest, Gradient Boosting, NLP, Nltk, and Data Science Libraries such as Pandas, NumPy, Scikit-Learn, NLTK, matplotlib, Seaborn, etc. He has also worked on processing Missing Data and Categorical data, and has good knowledge in Statistical Analysis: Predictive Modeling, Hypothesis Testing. Mukul is currently working as a Business Intelligence Consultant at SAP, where he is responsible for Data Management – Advanced Analytics (Machine Learning). He has expertise in HANA Information models developments (Attribute /Analytical/ Calculation Views) using graphical and SQL Scripting, Procedures, triggers, etc. He has hands-on experience in performance optimization of SAP HANA models (Graphical/Scripted) using Plan Viz and experience on SDI for real-time data replication and to create and execute flow graphs. He has also worked extensively on BW Modelling tools in Eclipse as well as Administration Workbench (RSA1) in GUI. Mukul has also volunteered in programs that generate value and brings-in improvements in his personal development as well as makes an impact in the community. He was a finalist of SAP InnVent-2020 and a member of Volunteering CSR Event – 2019. Mukul holds a Bachelor’s Degree in CSE from Lovely Professional University and completed his Higher Secondary School and Secondary school education from Kendriya Vidyalaya. He is proficient in SQL, ML, Python, Data Scientist, Random Forest, Seaborn, NLP, Scikit, test, Pandas,