MOHAMMAD HAQUE SQL SERVER, MICROSOFT EXCEL, TABLEAU
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Data analysts work with large datasets, analyze data, and generate reports. Proficiency in SQL and Excel is crucial for data retrieval, manipulation, and analysis tasks.

Database administrators manage and maintain databases, including creating and optimizing queries using SQL. Proficiency in SQL is vital for this role, while Excel skills can be beneficial for data analysis and reporting.

Data scientists utilize SQL for data extraction and manipulation tasks. Excel is used for exploratory data analysis, data visualization, and initial data preprocessing before applying advanced statistical and machine learning techniques.

Operations Analyst: Operations analysts use SQL to query databases, analyze operational data, and identify areas for improvement. Excel skills are valuable for data analysis, reporting, and creating dashboards.

Reporting analysts create and maintain reports for various business functions. They often work with SQL to retrieve and manipulate data and use Excel to analyze and present the data in visually appealing formats.

Subjects

  • Microsoft Excel Beginner-Expert

  • SQL Server Beginner-Expert

  • Tableau Beginner-Expert

Experience

  • Data Analyst (Aug, 2020–Present) at Persistent Systems, Pune
     Highly experienced Data Scientist with 3.6+ years’ experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modelling, Data Mining, Machine Learning, and Data Visualization.
     Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data.
     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, data engineering, features scaling, features engineering, statistical modelling, testing and validation, and data visualization.
     Proficient in Machine Learning algorithm and Predictive Modelling including Regression Models, Decision Tree, Random Forests, Sentiment Analysis, Naïve Bayes Classifier, SVM, and Ensemble Models.
     Collaborated with data engineers and operation team to implement ETL process, wrote and optimized SQL queries to perform data extraction to fit the analytical requirements.
     Explored and analyzed the customer-specific features by using Spark SQL.
     Performed univariate and multivariate analysis on the data to identify any underlying pattern in the data and associations between the variables.

Education

  • BACHELOR OF ENGINEERING (Jul, 2011–Jun, 2015) from RGPV, Bhopal

Fee details

    ₹500–1,000/hour (US$5.79–11.57/hour)

    500 per hour

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