• Conduct in-depth exploratory data analysis, specializing in the identification of patterns and trends within Salesforce, database and Excel datasets.• Employ advanced data visualization tools, including Tableau, to enhance data comprehension and effectively communicate insights to key stakeholders.• Develop interactive and informative Tableau dashboards, ensuring seamless communication of data insights. Deliver compelling presentations demonstrating a deep understanding of data nuances.• Utilize SQL to extract, clean, transform, and manipulate data from various databases and sources to ensure accuracy and relevance, while performing data validation and quality assurance procedures to maintain data integrity.• Optimize SQL queries to improve efficiency and performance by identifying and resolving bottlenecks, while closely monitoring database performance and implementing optimizations as needed.• Utilize Tableau Prep and Python for data cleaning and transformation, ensuring analytical processes' accuracy and reliability.• Utilize Python scripting to troubleshoot data-related issues, enhancing data quality and maintaining a robust analytical environment.• Leverage VBA (Visual Basic for Applications) in Excel for forecasting data trends, contributing valuable insights for strategic decision-making processes.• Utilize advanced Excel formulas such as XLOOKUP, FILTER, SEQUENCE, OFFSET, TEXTJOIN, and more to analyze data and compile weekly reports.• Ensure data integrity and availability by implementing robust data governance practices to maintain high-quality datasets.• Engineer processes in Tableau Prep for aggregating Salesforce and Excel-based data into newly developed models, streamlining data workflows for optimal efficiency.• Expertly aggregate and sort data in Tableau Prep, enhancing the efficiency of dashboard and report creation. Develop Tableau reports and Excel-based reports with meticulous attention to detail and accuracy.

• Developed Bangla language models, curated diverse datasets, conducted extensive data cleaning and troubleshooting, and applied numerous machine learning algorithms throughout projects. Executed text classification using SVM, Naive Bayes, Logistic Regression, and Neural Networks and many algorithms. Additionally, performed Named Entity Recognition, Part-of-Speech Tagging, Machine Translation, Text Clustering, Text Summarization, and Text Generation employing various techniques and models.• Collaborated closely with fellow researchers and faculty members, actively participating in research discussions and providing valuable input to refine project methodologies.

• Conducted meticulous and comprehensive data analysis across diverse datasets in the banking, finance, healthcare, and garments sectors, demonstrating a keen analytical eye and unwavering attention to detail.•Leveraged Power BI, with deep expertise in DAX, to create dynamic and insightful visualizations. These visualizations facilitated clear and impactful communication of complex data patterns and trends, playing a crucial role in guiding strategic decision-making processes.• Expert troubleshooter for data-related issues, delivering presentations to stakeholders. Demonstrated strong detail orientation and multitasking abilities across various projects and priorities.• Demonstrated proficiency in advanced Excel functions and Python for thorough data cleaning, transformation, and analysis. Implemented robust data quality measures, ensuring the reliability and accuracy of analytical outcomes.• Developed and implemented Python and R scripts, utilizing statistical analysis and machine learning techniques to extract actionable insights from data. Designed and executed algorithms to uncover hidden patterns and trends.• Utilized SQL for effective database querying, data extraction, and manipulation, optimizing data retrieval processes and enhancing overall data management efficiency.• Applied SPSS in targeted projects, conducting in-depth statistical analyses and hypothesis testing to extract meaningful insights. This statistical rigor contributed to a deeper understanding of key business dynamics.• Collaborated seamlessly with cross-functional teams, proactively engaging with stakeholders to understand intricate business requirements. This collaborative approach facilitated the alignment of analytical efforts with organizational goals.• Delivered compelling presentations to key stakeholders, translating complex findings into accessible insights. This contribution played a pivotal role in shaping informed decision-making processes at various organizational levels.

• Contributed to research projects on data analysis, machine learning, and data visualization. Worked collaboratively with a team of researchers to develop research methodologies. Presented research findings at conferences and seminars.• Collect and analyze data from multiple sources, including customer feedback surveys, website analytics, and sales reports.• Use statistical methods and software such as Excel, R, and SQL to interpret data and generate insights.

• Led data entry and comprehensive analysis efforts utilizing advanced features of Microsoft Excel, including pivot tables and complex formulas, to support ongoing projects and drive insights.• Mastered Microsoft Excel data analysis techniques and expanded my expertise to include Visual Basic for Applications (VBA) for automating repetitive tasks and enhancing reporting efficiency.• Initiated the adoption of Power BI for dynamic data visualization, leveraging DAX (Data Analysis Expressions) to create sophisticated data models and reports that provided actionable insights.• Facilitated knowledge sharing sessions on the use of advanced Excel features, VBA, and Power BI with team members, enhancing the overall analytical capability of the group.