Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic

ADEYINKA SAMUEL ADEYEMI

London

Summary

PROFILE SUMMARY Highly analytical and process-oriented data analyst with in-depth knowledge of database types, data analysis, data curation, manipulation, and data visualization. Possess furnished insights and background in process improvement, sales and operations, and various statistical packages to provide strategic insight and interpretation of data, with a successful track record of utilizing data visualization tools to optimize statistical efficiency and quality. Creative in finding solutions to problems and determining modifications for optimal use of organizational data. Able to work under pressure with minimal supervision and leverage acquired skills and experience across various fields to maximize operational results and profits. Tech-savvy, superior communicator, and promptly provides management with reports on specific data findings and their impact on organizational growth and success. I am proficient in Tableau, Power BI, SQL, Python, R, C#, Jira, Slack, and Confluence.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Data Analyst

Prime System Integrated
11.2021 - Current
  • Conducts data mining, data modelling, statistical analysis, business intelligence gathering, and benchmarking as assigned., also executes quality control checks in the form of SQL queries to ensure data integrity and enforce business rules
  • Creates process flow diagrams for overall business specification and collaborates with the development team and senior management in the preparation of data mapping reports, validation reports, and business reports
  • Collaborate with data architect, business users, and developer team with validation issues and defects and promptly resolves all identified issues to ensure optimal service delivery and client satisfaction
  • Developed and validate intricate algorithms based on deep-dive statistics analysis and predictive data modelling which increased our customer satisfaction rating by 2%
  • Collaboration, strong teamwork and interpersonal skills with data engineers in designing and developing SSIS packages for ETL dataset pipelines that met all of the stakeholder's requirements
  • Analysed and processed complex data sets using advanced querying, visualisation, and analytics tools such as MS Power BI
  • Reducing inefficiency by 3%
  • Streamed lined reporting process through tunning SQL and SAS script and automated the daily reporting process
  • Increased customer retention by 4% by building a machine learning-based system that matched clients with tailored investment opportunities
  • Aid senior data science team build in building business case, innovative machine learning models and segmentations for personalisation initiatives to drive margin, revenue, and conversion
  • Utilized data visualization tools to effectively communicate business insights.
  • Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
  • Identified, analyzed and interpreted trends or patterns in complex data sets.
  • Produced monthly reports using advanced Excel spreadsheet functions.

Sales Data Analyst

Coca Cola
03.2017 - 09.2021
  • Increased customer retention by 8% by building a machine learning-based system that matched customers with tailored investment opportunities; also analysed data and trends to make informed recommendations to sales teams and managers
  • Problem-solving of logistics costs on sales delivery by 4% and 7% in 2020 and 2021 through policy initiation and implementation, also reduced stock expiration by 15% by creating effective price and quantity promotional campaigns
  • Utilised new market development strategy and penetration of existing and new products, which increased annual wholesale revenue by an average of 11% in 2 years
  • Employed and implemented analytical models and statistical methods to generate valuable insight focusing on customer revenue, volume, and gross margin data collection and analysis
  • Used a Python ORM library to create data models, load data into the models, and manage the data, ensuring that the models can be easily ported to different database technologies
  • Worked with the team to plan and restructure our Python code for extracting, transforming, and loading data into Power BI for reports
  • Recreating an Excel report in Power BI using DAX to create data models that will enable effective reporting
  • Experienced with data wrangling operations using pandas in Python for data cleaning, data manipulation
  • Built an ETL-based data pipeline for processing transaction data streams (JSON files) and writing the output CSV files to a Google Cloud Storage from where they were picked and added to model training data
  • Developed accurate sales forecasts by analyzing sales feedback and wrote reports for senior leadership.
  • Applied sales forecasting techniques and strategic planning to verify sales and profitability of products, lines and services.
  • Gathered, organized and analyzed data, resolved discrepancies and modeled information.
  • Reviewed contracts for accuracy and validity of cost and quote information, contacting customers directly to resolve issues when appropriate.

Finance Analyst

American Tower Company
05.2015 - 02.2017
  • Identified financial status by comparing and analysing actual results with plans and forecasts; also led the preparation and posting of periodic accounting journals in ERP during month-end closing
  • Accurately maintained a balance sheet reconciliation periodically, improved financial status by analysing results, identified trends, recommended actions to management, and conducted monthly variance analysis on Actual VS Forecast
  • Efficiently reconciled transactions by comparing and correcting data, supported periodic reporting process to ensure reporting requirements were met and variances were adequately explained
  • Analysed site information to identify trends and anomalies in managing the site network, made recommendations to management on reducing the cost of running individual sites and provided weekly updates of cash forecast
  • Researched and analysed volume discrepancies with purchasers, prepared and reviewed journal entries, account reconciliations, accounts receivable, and financial variance analyses for various assets.
  • Helped clients make optimal decisions on amounts and timing of capitalization.
  • Developed trading strategies to maximize returns on investments.
  • Orchestrated client-centered financial packages factoring in current market trends.
  • Evaluated financial performance of investments, acquisitions and other business opportunities to provide strategic recommendations.

Education

M.Sc. - Data Science

Nottingham Trent University

Skills

  • Data Analytics and Analysis
  • Database Administration
  • Data Systems Architecture
  • Data Mining and Visualisation
  • Data Modelling
  • Predictive Modelling
  • Project Management
  • Data and Quantitative Analysis
  • Report, Insights, and Prediction
  • Superior Communication Skills
  • Client and Time Management
  • Analytical and Critical Thinking
  • Data Modeling
  • Data Validation
  • Data Integrity Validation
  • Data Analysis
  • Git
  • Database Management
  • Data Visualization and Presentations
  • Python Programming
  • Database Programming and SQL
  • Statistical Analysis
  • Data Mining
  • SQL

Accomplishments

  • Statistical Data Analysis and Visualisation: Utilised R for statistical analysis and predictive modelling
  • Big Data and its Infrastructure: Explored a variety of tools such as SQL, Power BI, Hadoop, Apache, and Cassandra to collect, manage, analyse, summarise, and visualise big data promptly and scalable fashion
  • Derived Business Value from Data Analytics: Proposed business intelligence System for the senior executives of an FCMG organisation on deriving value from Big Data
  • Software Engineering: Used C# to build a flight and hotel booking platform
  • B.Sc; Economics

Certification

Associate – Association of Chartered Certified Accountants (ACCA). Oracle Database Admin Google Analytics Certificate

Timeline

Data Analyst

Prime System Integrated
11.2021 - Current

Sales Data Analyst

Coca Cola
03.2017 - 09.2021

Finance Analyst

American Tower Company
05.2015 - 02.2017

M.Sc. - Data Science

Nottingham Trent University

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ADEYINKA SAMUEL ADEYEMI