SAMEERA SULTANA

 My expertise lies in Text Analytics, where I have developed various Statistical Machine Learning and Data Mining solutions to address diverse business challenges, alongside generating compelling data visualizations using R, Python, and Tableau.  I excel in Data Analytics, including Data Reporting, Ad-hoc Reporting, Graphs, Scales, PivotTables, and OLAP reporting.  Proficient in Text Mining and well-versed in NLP components like Natural Language Generation (NLG) and Natural Language Understanding (NLU), I am adept in Python and R scripting, with hands-on experience in data organization and visualization using Pandas, Matplotlib, and Seaborn.  Furthermore, I have a strong command over SQL, capable of writing and optimizing diverse queries, and possess working knowledge of both RDBMS (e.g., MySQL) and NoSQL databases (e.g., MongoDB).  I have also leveraged Spark Mllib utilities for various machine learning tasks, enhancing customer visibility and boosting revenue by 10% through real-time insights using a plethora of tools including Tableau, SAS, QlikView, and Microsoft BI.  Additionally, my foundation in Operations Research techniques, coupled with practical experience, enables me to specialize in mathematical programming, heuristic algorithms, and stochastic modeling.  I have successfully designed and executed optimization models using Python and relevant packages such as PuLP, PYOMO, and CVXPY, with proficiency in CPLEX.  Moreover, I am well-versed in transforming business requirements into scalable analytical models, proficient in working with Hadoop ecosystem components, and skilled in designing captivating visualizations using Tableau.  My repertoire extends to various machine learning algorithms and techniques, including Reinforcement Learning, LDA, Naive Bayes, Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, and neural networks.  In terms of practical experience, I have developed a quantitative framework for integrated municipal solid waste management and engaged in collaborative efforts to translate business requirements into optimization problems.  My hands-on experience encompasses a wide array of tools and platforms, including Python Integrated Development Environments, Python packages, Spark Mllib, Hadoop Core Components, and various visualization tools like Tableau, PowerBI, and Looker.