Bentonville, Arkansas, United States
"Data Science professional with 7+ years of work experience in data processing & analysis, time series forecasting, predictive analysis, statistical modeling, and process optimization. Proficient in software including R, Python, SQL, Tableau. Expertise in Modeling and Machine Learning." ------------------------------------------------------------------------------------------------------------------ Enthusiastic, analytical, ambitious and disciplined, having good command over the technical and interpersonal skills required at the academic and industrial level, with a desire to pursue a career in the data-driven industry. ----------------------------------------------------------------------------------------------------------------- Hands-On Experience: Machine Learning, Artificial Intelligence, Predictive Modeling, Statistical Modeling, Data Mining, Data Preprocessing, Feature Engineering, Optimization Techniques, Data Visualization, Text Mining, Sentiment Analysis, Business Intelligence, Data Warehousing, Hypothesis Testing, Multi-Variate Analysis, Dimensionality Reduction Algorithms, Simulation, Time Series Forecasting Methods & Algorithms : Linear & Logistic Regression, Decision Tree, Random Forest, SVM, Boosting, K- Means/Medoids Clustering, NLP, PCA, Neural Networks, Deep Learning (Keras, Tensorflow-GPU), CNN, LSTM, A/B Testing
Developed and improved Knowledge based rules using R to help internal peers and customers to track the errors and downtimes in the equipment and perform preventive maintenance. Created Rmarkdown and Rshiny automated analytics reports by combining information from different sources to help internal peers to reduce the time consumption in equipment troubleshooting Developed and maintained internal R packages for advanced data processing to streamline and enable reproducibility of complex analytical funcRons, maintaining projects on GitLab Performed data visualization and developed key performance indexes for various business problems using R Advocated the implementation of data science to solve more complex data analytical problems
Service Competence Center for Machine tools and technology
Collaborated in a team to develop Weightage point technique consisting of five analytical logics to track inaccurate records, erroneous financial transactions and provided business recommendations by using Python, tableau and SQL.