Mahfuzur Shaek

About Mahfuzur Shaek

Over 8+ years of IT experience in Analysis, Design, Development, Testing and Implementation of various applications in OLTP, Client/Server OLAP environment using BI tools. • High Experienced working in all the phases of the projects including analyzing, requirement gathering, QA and Deployment, • Over 6 years of experience in Azure Machine Learning, Datamining with large Data Sets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Crawling, Web Scraping Statistical Modeling, Data Mining and Natural Language Processing (NLP) by using R and python. • Proven track record in troubleshooting of Data Stage jobs and addressing production issues like performance tuning and enhancement. • Created Airflow Scheduling scripts in Python • Expertise in designing and creating various analytical Dashboards to help users to identify critical KPIs and facilitate strategic planning in the organization. • Experience in developing Visualizations using various charts like Stacked Bar/Pie, Line/Area, Donut, Dual-axes charts, Geo-Maps, Bubble, Scatter and Heat Maps. • Expertise using Tableau API Such as Python, R and Web Data Connector and expertise in designing dashboards using mobile app lay out such as Tablet, iPhone and iPad. • Strong Experience in Tableau Administration such as creating extracts, scheduling workbooks, granting access and creating user filters. • Expertise in Trouble Shooting, Performance tuning of reports and resolving issues in Tableau Server and Reports. • Experience in Installation, Configuration and administration of Tableau Server in a multi-server and multitier environment. • Strong Expertise in Tableau server commands like synchronization, Tabcmd and Tableau server backup activity and Performed Load and Performance Testing using Tab Jolt. • Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, features scaling, features engineering, statistical modeling (Decision Trees, Regression Models, Neural Networks by bot or chatbot, Raspberry Pi, Support Vector Machine (SVM), Clustering), dimensionality reduction using Principal Component Analysis and Factor Analysis, testing and validation using ROC plot, K - fold cross validation and Data Visualizationby python and R.

Experience

1. Sr Data Analyst Ml Engineer

   FEI Systems

   Mar 2022 — Present · Columbia, MD

   Data analysis using Netezza, Aginity, SQuirreL SQL Client, SQL Server Management Studio, SAS Enterprise Guide, Python, Jupyterlab, Domino. •Data extraction using Aginity Workbench (Hadoop) and Web Intelligence (SAP Business Objects) •Worked with various databases like Oracle, Azure SQL and performed the computations, log transformations, feature engineering, and Data exploration to identify the insights and conclusions from complex data usingpython,R- programming in R-studio, Machine learning Algorithms on a AWS Cloud. •Integrated data from data sources with R and analyzed data with R libraries like ggplot2, Shiny, h2o, dplyr, reshape2, plotly, RMarkdown, Knitr, ElmStatLearn, caTools etc. •Built regression models include: Lasso, Ridge, SVR, XGboost to predict Customer Life Time Value. •Achieved 92% accuracy with 93% specificity, 83% sensitivity and 84% AUC in prediction of customer preferences using Artificial Neural Networks using BOT or chatbot,Raspberry Pi. •Partitioned data into multiple k parts to avoid risk of overfitting and get a generalized model, which is not bias affected. This helped deal with bias-variance tradeoff. •Used power BI to Create representations and reports for mentioned ventures, worked together with groups to incorporate frameworks. •Performed and implemented various sampling, resampling techniques, such as – simple random sampling, stratified sampling, reservoir sampling, random under / over sampling to improve quality of statistical model. •Tableau dashboard and reports using SQL, SAS, HDP and Salesforce •Automated help tasks on a Web site, for instance, checking joins or endorsing HTML code with the help of web crawling. •Done web scrapping with the assistance of python libraries, for example, Scrapy and Beautiful Soup •Hadoop, Spark, Machine Learning, Text analytics, predictive analytics, data modeling, Forecasting, VB, Documenting and logging, Decision Science, Salesforce and ETL (IBM InfosphereDataStage).

Education

• Universiti Sains Malaysia

  Doctor of Philosophy - PhD, Artificial Intelligence- Computer Vision

  2021 — 2024

• Shahjalal Jamia Islamia

  Secondary School Certificate, Science

  2001 — 2003

• Scholarshome

  Higher Secondary, Science

  2003 — 2005

• Asia Pacific University of Technology and Innovation (APU / APIIT)

  MSc in Data Science and Business Analytics

  2019 — 2020

• University of Derby

  BA(Hons) in Business Administration, International Business

• Education for Business Managers and Administrators

  Post Graduate Diploma in Business Administration

  2013 — 2014

• St. Peter's College of London

  Pearson, BTEC Higher National Diploma in Business

  2010 — 2013