Mukul Kajla

Data Engineer @ Credit One Bank

About

My Expertise includes Data Analysis, Data Structures, Project Management, Pattern & Trend Identification, Data Visualization, Technical Documentation, Project Management, Qualitative & Quantitative Research, Business Intelligence, Data Pipelines, Data Optimization, Data Warehousing, Data Architecture, Data Modeling, and Requirement Analysis. I am capable of delivering data solutions, database designs, and full-lifecycle project management required to identify and evaluate all critical systems. I excel in collaborating with senior management teams to prioritize business requirements and define opportunities for process improvement. As a solutions-oriented professional skilled in analyzing and interpreting complex data leveraging business principles to produce data-driven and strategic results. I am proficient in developing insights, identifying trends/patterns, and producing comprehensive reports while supporting strategic decision-making and promoting swift business operations.

Country

United States

City

Las Vegas

Industry

Computer Software

Skill

Data Analysis, Database Management, Data Product Design, Analytical Skills, Business Analysis, Agile Methodologies, Microsoft Azure, Big Query, Tableau, PostgreSQL, SQL, PL/PGSQL, Python (Programming Language), PL/SQL, Microsoft Power BI, R (Programming Language), Data Visualization, Oracle Certified Associate (OCA), Database Management System (DBMS), HTML

Experience

Data Engineer

Credit One Bank

2022-11 - Present · 3 yrs 10 mos

Las Vegas, Nevada, United States

Data Analyst

Veridic Solutions

2022-8 - 2022-11 · 4 mos

Dallas, Texas, United States

Design and implementation of data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Identification, analysis, and interpretation of trends or patterns in sophisticated data sets using statistical techniques and providing ongoing reports and dashboards using BI tools like Tableau. Development of data collection processes and data management systems and evaluation of existing data sources and development of action plan for delivering reliable data to drive insights.