Kunal Singh

About Kunal Singh

I am an accomplished Senior Data Analytics Specialist, Audit & Assurance with a track record of delivering data-driven insights through the analysis of large datasets. With a keen eye for detail and a passion for transforming raw data into actionable intelligence, I have consistently created Tableau, Power BI, Alteryx and Spotfire dashboards that provide critical insights for leadership decision-making. My expertise extends to real-time data analytics, data extraction, cleansing, and preparation from various ERP systems, all aimed at optimizing audit practices.I thrive in data-rich environments, leveraging my proficiency in data analytics and Natural Language Processing to uncover meaningful patterns, trends, and anomalies. I am well-versed in Data Wrangling technologies, including SQL, Data Bricks and SAS, which I use for data mining, Data Modelling, Ware Housing etc.My ability to understand business processes and translate user requirements into data solutions has allowed me to develop and deliver data-driven Guided Risk Assessment (GRA) procedures, adding value to audit engagement teams.Beyond my technical skills, I am passionate about sharing knowledge and have conducted Tableau and Power BI training sessions for team members. Let\'s connect to explore how I can contribute to your organization\'s success through data-driven insights and solutions.

Experience

1. Data Analytics Senior Specialist, Audit & Assurance

   Deloitte

   Jun 2022 — Present · Tampa, FL, US

   Analyze large datasets to provide key insights by creating Tableau, Power BI and SSRS dashboards and develop data-driven processes to find outliers, trends, and patterns in the data. Responsible for delivering of complete analysis packages (complete information about the required analysis in one place) with key insights for leadership.• Optimal performance and data integrity were ensured during the design, development, and maintenance of SQL databases.• Developed and refined intricate Stored Procedures and SQL queries to assist commercial applications.• Lead and review the process to extract, load and transform data scattered around multiple sources utilizing the benefits of data warehousing, data architecture, table structure through ETL Processes.• Exhibited a great ability to create huge datasets by wrangling and cleaning data using SAS, Databrick, and SQL.• Developed and implemented data quality checks to identify and correct data errors and inconsistencies. Optimized SQL scripts for efficient data cleaning and transformation. Lead and review SQL, SAS, Databricks (Pyspark) scripts for the junior staff.• For the purpose of cleaning and analyzing structured and unstructured audit datasets, used R, SQL, Trifacta, and VBA programming. Carry out data preparation, cleaning, and extraction processes on sizable datasets from diverse ERP systems in order to get them ready for upload into exclusive journal entry testing software. • Proficient with data analytics tools for Data Mining, Data Preparation, Data Quality, Data Cleansing, Data Enrichments for Big Data Analytics Solutions that support audit engagement objectives, across all stages of an audit, and to deliver meaningful insights to the audit team and the client.• Work directly with Audit teams to determine the requirements, Scope, and timing of the project. Translate user requirements into data preparation steps within the data cleaning workflow and Analytics.

Education

• University of South Florida Muma College of Business

  Master of Science - MS, Business Analytics and Information Systems

  2017 — 2018

• United College of Engineerand Research, Allahabad

  Bachelor's degree, Electronics and Communications Engineering

  2009 — 2013

Skills

• Microsoft Office
• Business Analysis
• Microsoft Excel
• Research
• Management
• Team Management
• Vendor Management
• Telecommunications
• Sql
• Requirements Analysis
• Customer Relationship Management (Crm)
• Oracle
• Project Management
• Integration
• Product Management
• Business Intelligence
• Team Leadership
• Pl/Sql
• Confluence
• Visual Studio
• Agile Methodologies
• Databases
• Requirements Gathering
• Data Warehousing
• Data Analysis
• Analytics
• Data Mining
• Testing
• User Acceptance Testing
• Business Strategy
• Business Analytics
• Business Process Analysis
• Business Systems Analysis
• Business Process Improvement
• Robotics Process Automation
• Lean Six Sigma
• Lean IT