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Click here or scroll down to respond to this candidateCandidate's Name
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Email: EMAIL AVAILABLEPhone : PHONE NUMBER AVAILABLELINKEDIN LINK AVAILABLESUMMARY:Highly experienced computer science professional with over 9 years in data science and analytics. Proficient in communicating and presenting valuable data insights to management professionally and effectively. Seeking to leverage my expertise to enhance data-driven decision-making.EDUCATION:* M.Sc. University of Nebraska at Omaha, Data Science, Dept. of Mathematical and Statistical Sciences-2017* M.Sc. Jahangirnagar University, Bangladesh. Computer Science and Engineering (Completed all Courses)* B.Sc. Honors. Jahangirnagar University, Bangladesh. Computer Science and Engineering - 2003SKILLS:R, Shiny, Tableau, Looker Studio, Power BI, MySQL, Workbench, C/C++, Hadoop, MATLAB, Visio, ML, AWS, Microsoft and Google platforms, Oracle, HTML, PHP, JavaScript, Microsoft Excel AI and JIRA.EXPERIENCE:* Data (Science) Analyst : Itemize Corp. Jan 2024 Present. Business, revenue and audit data wrangling, analysis, modeling, visualization (KPI Dashboard), forecasting and interactive reporting using R, MySQL, Looker Studio, Tableau, AWS and training raw data using ML model.** Data Science Analyst : Legal Aid of Nebraska 2019 2023 Legal data wrangling, analysis, modeling, visualization, and real time reporting using R, SQL, and Tableau, Implemented data mapping processes to understand the impact on the data model from source systems. This led to increased efficiency in data integration, such as working with Legal Service Corporation (LSC) data for data warehousing. Collaborated with other teams to gather and analyze reporting requirements, resulting in the successful implementation of a company-wide Business Intelligence (BI) framework. This included creating a Justice database using SQL and developing KPI dashboards in Tableau and crystal reporting . Analyzed client survey data using various models, including the Logistic regression model in R, to generate informative reports that aided decision-making and drove improvements in legal services. Initiated and facilitated meetings and workshops to ensure all stakeholders were aligned and informed. This led to improved project timelines and outcomes, such as generating predictive models for the Client and Case databases, considering various factors, and creating quarterly and annual reports for various stakeholders, including CHI, MHS, Save the Children and others. Generated the Annual Grantee Activity and Self-Inspection report for LSC. Worked on Survey Monkey data processing, analysis and modeling. Provided training about data story or data product to the end users.*** Quality Analytics Lead: Nebraska Methodist Health System 2017-2018 Conducted Healthcare data Analysis, Data Wrangling, Modeling, Forecasting and Data Visualization using R and Tableau. Worked with MSSP (Medicare Shared Saving Program) datasets for readmission and claim estimation of Hospital, SN (skilled nurse facility), HH (Home Health), Hospice care and analyzed MSPB (Medicare Spending Per Beneficiary) data to identify opportunities for cost reduction. Analyzed and created interactive visualizations of hospital inpatient quality datasets related to 30- days unplanned readmissions for conditions such as AMI, COPD, HF, Pneumonia, Stroke, CABG, THA/TKA, including trends, causes of readmission, mortality trends, and prediction and forecasting using machine learning and statistical models. Applied ICD-9 and ICD-10 codes using R packages. Had experience accessing data from different sources, demonstrated leadership and teamwork, and managed projects effectively.Graduate Research Assistant: University of Nebraska at Omaha 2015-2017 Created Interactive Dashboard to visualize Latino Political Participation in Nebraska for department of OLLAS using R, Shiny. Analyzed and Visualized 2016 US Election data and Supermarket energy consumption data in different climate zone across USA in R. Conducted Exploratory analysis of Culinary data over American History using R and Tableau. Analyzed fetal ECG data to detect heart problems of fetus using SQL and R. Had working experience of Kaggle big data mining and data modeling using machine learning technic like Neural Network, k-Nearest-Neighbors, Clustering, Decision Tree, MXNet, Random Forest, Nave Bayes, SVM, Logistic Regression and used other statistical models: Time series model, Nonlinear predictive models (Polynomial Regression, Local Regression, Regression splines, Smoothing splines), Model testing and cross validation.* Sample Dashboard:https://latino.shinyapps.io/Dashboard/https://public.tableau.com/profile/Candidate's Name #!/vizhome/Penalties_7/Story1?publish=yes* Awards and Acknowledgements2017 Kerrigan Grant, Dept. of Mathematic, University of Nebraska.2016 Kerrigan Grant, Dept. of Mathematic, University of Nebraska2016 Travel Award to present research at JSM 2016, Arts and Science, University of Nebraska.2003 University Grant Commission (UGC) scholarship (Outstanding result on B.Sc. Honors)* Presentations:1. Presented research work in Joint Statistical Meeting, Chicago, IL on August- 2016.2. Presented Analysis of Latino population data using interactive graphics in Tableau user group meeting on April -2016 at Omaha, NE.* Publication:Luna Farhana, Cheng Xioayue Ph.D, Majumder Mahbubul Ph.D (2016), Interactive Visualization of Latino Political Participation in Nebraska and USA, JSM Section on Statistical Graphics. |
