Experience

MEP STOCK LIMITED

• Consumer Electronics
• 1 - 100 Employee

• Business Intelligence Analyst

  • Sep 2021 - Present

  • Processed various types of CSV, Text, JSON using Python scripts for the process. • Developed and deployed scripts to handle daily sales and customer reports. • Worked on historical data like cleaning and analysing relationships between each data. • Created a report on the basis historical data analysis that helped the stakeholders to improve their market strategy. • Created automated interactive report that shows total sales, sales by region, total profit, profit by period of time and loses • Helped the stakeholders while making decisions by providing historical data analysis inputs. • Calculating profit & loss (PnL) and total transactional report (TTR) using sales data. • Automate the existing jobs to reduce the manual jobs.



sparknode analytics

• Marketing Services
• 1 - 100 Employee

• Data Analyst

  • Jan 2019 - Jul 2020

  • Built the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Microsoft Azure ‘big data’ technologies. • Built analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. • Worked with stakeholders to assist with data-related technical issues and support their data infrastructure needs. • Produced attractive visuals/dashboards to convey the story inside the data and writing the reports of the data insights. • Built dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices. • Delivering the data in a useful and appealing way to the clients • Delivered updates to stakeholders based on analytics. • Built CI/CD pipeline with tools like Azure DevOps



Sparkynode analytics

• Information Services
• 1 - 100 Employee

• junior Data Analyst

  • Aug 2017 - Jan 2019

  • Collecting data from different departments like sale Department, logistics and marketing etc. • Attending stand up meetings with senior data analyst. • Used to work with cloud based data like SQL , writing SQL queries, manipulating data as per requirement • Used work with large excel sheets. • Helping the senior data analyst in data cleaning and data analysis. • Used to get involved in data Visualization • Collecting data from different departments like sale Department, logistics and marketing etc. • Attending stand up meetings with senior data analyst. • Used to work with cloud based data like SQL , writing SQL queries, manipulating data as per requirement • Used work with large excel sheets. • Helping the senior data analyst in data cleaning and data analysis. • Used to get involved in data Visualization