Sneha Patil

Athni, Karnataka, India

Since March 11, 2026

Skills

Power BIPythonStakeholder ManagementSQLETL PipelinesData ModelingData WarehousingAWSAdvanced Excel (VBA)Pandas, NumPy

Experience

Real group - Jotiba technologies

Data Analyst

November 1, 2022 – January 1, 2026

Key Strengths

Proficiency in Python for data analysis, automation, and reporting, including libraries like Pandas and NumPy.
Strong SQL skills for data retrieval, manipulation, and query optimization.
Experience with cloud platforms (Azure, AWS) for data storage and processing (e.g., Azure Data Factory, Synapse, AWS S3).
Solid foundation in data analysis, data modeling, and business intelligence, particularly with Power BI, DAX, and Power Query.
Demonstrated ability to develop end-to-end reporting solutions, including data cleaning, pipeline management, and dashboard creation.
Practical experience in applying statistical models (e.g., ARIMA) for sales forecasting.
Track record of improving efficiency and accuracy in data processes, reducing reporting times and manual effort.
The candidate's experience as a Data Analyst involves significant Python usage, which is relevant to a Python Engineer role, particularly in data-intensive domains.

Cultural & Operational Fit

Cultural Fit Analysis

Not assessed due to a score of 0 on the psychometric test, which evaluates aspects relevant to cultural fit such as work attitude and team collaboration.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Proficiency in Python for data analysis, automation, and reporting, including libraries like Pandas and NumPy.
Strong SQL skills for data retrieval, manipulation, and query optimization.
Experience with cloud platforms (Azure, AWS) for data storage and processing (e.g., Azure Data Factory, Synapse, AWS S3).
Solid foundation in data analysis, data modeling, and business intelligence, particularly with Power BI, DAX, and Power Query.
Demonstrated ability to develop end-to-end reporting solutions, including data cleaning, pipeline management, and dashboard creation.
Practical experience in applying statistical models (e.g., ARIMA) for sales forecasting.
Track record of improving efficiency and accuracy in data processes, reducing reporting times and manual effort.
The candidate's experience as a Data Analyst involves significant Python usage, which is relevant to a Python Engineer role, particularly in data-intensive domains.

Cultural & Operational Fit

Cultural Fit Analysis

Not assessed due to a score of 0 on the psychometric test, which evaluates aspects relevant to cultural fit such as work attitude and team collaboration.

Soft Skills & Operational Fit