Data Analyst/ Big Data Analyst

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ID : 1408

Education level : Bachelor's degree

Work experience level : Associate- (1-2 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-07

Highly analytical and process-oriented data analyst with in-depth knowledge of database types; research methodologies; and big data capture, curation, manipulation, and visualization. Furnish insights, analytics and business intelligence used to advance opportunity identification, process reengineering and corporate growth.

Data Analysts - ACOS - (May 2021 – November 2021)

Delivered quality client services within defined SLAs and maintained the positive image of the company.
Analyzed, documented and reported user survey results to improve fleet managers’ communication processes.
Collaborated with the analyst team to oversee end-to-end processes surrounding customers’ return data.
Graphical, Video - based, and Image - based data analysis of output of Al model to analyze and fine - tune the model performance and resource utilization.

Big Data Analyst - Horizon Digital Pakistan - (December 2021 – April 2022)

Understanding end-to-end business requirements from stakeholders and providing quick and accurate solutions to address critical business needs.
Assistance and cross-checking of the OLAP and OLTP operation
that helps in optimizing ETL processes and reduces both execution time and load over the servers.
Maintaining close coordination within the team for new report development & data sourcing in DWH.
POC to the finance team to aid related to the different product usage and sales over the different regions of the country to analyze product and customer behavior.
Reports development using Data Visualization tools i.e., Power BI, Tableau for the higher management to have the bird’s eye over the company’s growth and gain in revenue.

Data Analyst - Horizon Digital Pakistan - (May 2022 – Current)

Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP.
Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.
Prediction, forecasting, and AdHoc analysis & report through Excel that helps the marketing & sales team to address the specific business needs.
Monthly and Quarterly segmentation of newly acquired customers via Machine Learning Algorithms & SQL based on their company’s background and hierarchy that helps in providing services and reducing churn rate.
Review and perform serenity check data on raw data loaded into the database for accuracy, including historical data integrity that assures the ACID principles over the Database.
Analysis of product behavior to develop user stories that help while predicting the product potential and forecasting sales volume.

Digital Skills

Data Analysis (Python)
Python (pandas, NumPy)
Data Visualization (Tableau, Carto)
Machine Learning NumPy
Familiarity with scikit-learn
TensorFlow Machine Learning libraries
Framework Python Django e Flask
GitHub Actions
Database Management (SQL)
SQL (MySQL, SQLite, PostgreSQL, SQL Server)
Anaconda Navigator
PyCharm IDE
MATLAB Programming Language
OLAP
OLTP
Linear Regression
Logistical organization
Data extraction
Data preprocessing
Data visualization
Data cleaning

ANZ Data Internship An (15 April 2022 – 6 May 2022) – Auckland, New Zealand
Data Analyst Nanodegree Udacity (7 June 2021 – 4 November 2021) – California, United States
Data Science Specialization University of Michigan (5 August 2022 – Current) – Michigan, United States
Crash Course on Python Google (6 March 2021 – 7 April 2021) – California, United States

Python (Pandas, NumPy), Tableau, Carto, Machine Learning, scikit-learn, TensorFlow, Django e Flask, GitHub Actions, Database Management (SQL), SQL (MySQL,SQLite,PostgreSQL, SQLServer)Anaconda Navigator, MATLAB, OLAP, OLTP, Linear Regression, Logistical organization, Data extraction, preprocessing, Analyzing & visualization

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