Data Analyst Social Media

Chima Business Intelligence Ezeorah Analyst Big Data & Aerospace

Engineer

professional

Graduate Certificate in Big Data/Business Intelligence & Visualizations Analytics, Montreal College of Information & Technology, Canada Graduate Certificate in Mechanical Engineering, Concordia University, Canada BSc Engineering, Shenyang Aerospace University, China Business Strategy Solutions

Creation Leadership

Troubleshooting Linguistics Social

Networking

Chinese Mandarin English

French Igbo Russian Spanish

Phase 2 Site 2, Kubwa, Abuja

+234 (0-906-***-****

*************@*****.***

contact

about

A Data/Analyst with 6 years of experience,

whose primary focus is to solve daily

business needs by proactively using strong

data analytic skills to drive business

solutions. Proficient knowledge in statistics

and mathematics, with a rich understanding

of company operations and analytic tools for

effective analysis.

technical education

Agile Technologies Ajax

Apache Hive HTML Kafka

Apache Spark Javascript C#

Apache Storm PHP, SQL Unix

Microsoft Dynamics C++ React.js

Microsoft Office CSS Scala

Tableau & Power BI Swift

Apache Hadoop Python & R

experience

SHIIVATECH (EAGLE TOWERS) NIGERIA 2019

COVID-19 Analysis & Model Algorithm Fit Methods Analyst

Created raw datasets using various file formats like Json and CSV.

Used Anaconda and Spyder IDE with Apache technologies and algorithms (with the use of Scala and PySpark and Pandas) for data cleaning and numpy for conversion of categorical data and easy data analysis.

Used machine learning and Pandas module to extract data and get more information of datasets and used Numpy for numericals, probability and statistical analysis .

Created visualization analysis for television stations with the use of tableau to connect with viewers to better understand how the virus spreads.

CATHELLE INC. CANADA, 2019-2019

Sales Inventory & Business Intelligence Analyst

Implemented the first inventory tracking KPI to be able to avoid overstocking and predict outlooks.

Created an artificial intelligence tracking system to aid in projective business strategies.

Maintained data entry and location analysis to link up with all company’s vendors and clients.

Deployed Scripts in Microsoft Excel for maintaining data infrastructures and validation.

Developed a structured database in MySQL to store structured data and facilitate data extraction at ease.

Introduced Asana task manager, added new add-ons on the slack platform to improve collaboration and keep track of deadlines within teams and company.

Optimized Data collection methods and generated weekly and monthly and quarterly reports.

Successfully interpreted data to facilitate extracting conclusions for managerial actions and strategies. GOOD FOOD MARKET INC. CANADA, 2017-2019

Manger Inventory & Data Analyst

Managed overall procurement department while coordinating 200 employees.

Created the first employee productivity index to measure how an employee progress.

Optimized business strategies to improve inventory levels and ensured that inventory levels do not impact production plans and deadlines.

Balanced end of month inventories through analytical approach based on monetary terms to meet WIP depletion and avoid waste of resources.

Utilized Python and R to uncover valuable insights on food costs, visibility, predicting inventory levels.

Implemented Good Food first WMS to facilitate tracking of inventory data for sorting and analysis to balance inventory numbers and to provide insights with the use of dashboards in tableau and Power BI.

Deployed Scripts and macros in excel for maintaining data infrastructures and validation with the use of pivot tables and pivot reporting as well as V-Look up functions. used G-suite to share files with my team and manage timely distribution of data on the cloud.

Utilized anaconda and Spyder IDE and Apache Technologies to deployed algorithms with Scala and PySpark for data simulations and machine learning use case scenarios.

Used Pandas extract data from modules and get more information of datasets while using Numpy for numericals, probability and statistical analysis.

Implemented new educational videos for effective on-boarding of new employees. KENDEALS.COM, MEALMUNCHIES.COM, UNIKJOB.COM CANADA, 2015-2016 Web Developer & Informatics Analyst

Developed mobile application for finding freelance jobs using Swift programming language.

Spearheaded campaigns on social media platforms including using Google analytics to monitor users on these websites.

Monitored the online presence of websites company brand to engage with users strengthening users' relationships.

Deployed website with the use of existing programming languages like Javascript HTML and PHP and Google's AngularJS.

Developed integration with Amazon AWS for data storage and future metric analysis. STM MONTREAL SERVICES CANADA, 2015-2016

Bixi Montreal College Projects Data Analyst

Used data from the GTFS at STM Montreal Data Centre to implement live streaming of data with the use of Hadoop, Hive, Spark and Kafka applications for real-time updates.

Reduced rate of late train arrivals of by studying high-traffic times in different locations in Montreal.

Adapted company’s SWOT analysis to better understand continuous improvement strategies. SHENYANG BLOWERS CHINA, 2011-2013

Shenyang Aerospace Aircraft Engineer

Assisted on the manufacturing of turbine fan blades for the Boeing aircraft.

Conducted stress analysis to mitigate crack and failures during operation.

Built Data pipelines using Hadoop and Hive to analyse data from tests simulations: stress analysis to safety.

Developed new reports and delegated tasks to my team members.

Developed and managed planning timelines and procedures for metrics reports. Performed market analysis of raw material visibility to meet deadlines to efficiently reach objectives increasing sales by

%19.

Incorporated statistical techniques for hypothesis testing to validate data interpretations with matlab and R.

Provided and proposed solutions to improve system efficiencies to reduce expense and man hours.

Improved forecasting of backlog inventories to retail industries by 15%.

* References and data modeling algorithms available upon request. experience

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