Agum Malik

Data Scientist

Noida, Uttar Pradesh, India2 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Certified Data Science Programmer with extensive Python knowledge.
Proven experience in data analysis across multiple domains.
Strong analytical and problem-solving skills demonstrated in projects.

Stackforce AI infers this person is a Data Analyst with expertise in Healthcare and E-commerce data analysis.

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Skills

Core Skills

Data AnalysisReporting

Other Skills

Apache SparkExcelMicrosoft ExcelMicrosoft Power BIMySQLPower BIProblem SolvingPython (Programming Language)SQLStatisticsTableau

About

Data Scientists having extensive knowledge of Python, SQL, Tableau, Power BI and Excel Certified Data Science Programmer, pursuing Executive PG Programme in Data Science from IIIT Bangalore. Worked on projects in Banking, Sales, Healthcare and Ecommerce domain. Excellent analytical, problem solving, communication and time managementskills.

Experience

Genpact india private limited delhi

Management Information System Executive

Aug 2024 – Present · 1 yr 7 mos

Vital radiology services india

Operation Analyst

Jan 2023 – Feb 2024 · 1 yr 1 mo · Noida, Uttar Pradesh, India · On-site

Create and maintain daily, weekly, and monthly reports, ensuring accuracy and timely delivery.
Analyze business data to identify trends and insights, providing actionable recommendations to senior management.
Utilize advanced Excel techniques for data manipulation, including pivot tables, VLOOKUP, and conditional formatting.
Design and implement interactive dashboards and visualizations in Power BI to enhance data presentation and decision-making processes.
Manage and query databases using MySQL to extract, transform, and load data for reporting purposes.
Conduct TAT (Turn Around Time) analysis to monitor and improve operational efficiency.
Collaborate with cross-functional teams to understand data requirements and deliver customized reports.
Develop and document standard operating procedures for data analysis and reporting tasks.
Ensure data quality and integrity through regular audits and validation checks.
Provide training and support to team members on data analysis tools and best practices.