Data Analyst Analysis

• Experience in programming and other data analysis programs

• Analytical skills that allow for the development of data-driven reports

• Demonstrated ability to manage time and prioritize projects to meet deadlines

• Ability to use SQL and Microsoft Excel to create pivot tables, graphs and charts

• Experience in Power- BI reporting application.

• Strong written and verbal communication skills to effectively relate data to coworkers

• Excellent critical thinking skills to help solve business problems and make decisions.

• Tendency to pay close attention to small details that could impact results

• General knowledge of business operations, objectives, strategies, process and information flow KUFRE ARCHIBONG

Regina, Canada

+1-306-***-**** ****************@*****.***

Professional Summary

I am a detail-oriented and result-driven Data Analyst/Scientist with more than 3 years of hands-on experience in extracting, transforming, analyzing and visualizing complex business data. Throughout my career, I demonstrated proficiency in using programming languages such as python and PostgreSQL to clean, analyze and visualize complex dataset and using visualization tools like Tableau, Excel and Power BI to present actionable insight to stakeholders. My professional profile is characterized by analytical prowess, proactive initiative, and a resolute commitment to delivering solutions. I consistently leverage my acumen to yield optimal outcomes using available resources. I possess a remarkable ability to swiftly grasp and implement new concepts, coupled with an unwavering dedication to continuous learning. These attributes, coupled with my proven track record, distinguish me as an exceptional candidate, poised to make a transformative impact as part of your esteemed team. Core Skills and Technical Skills

Core Skills

• Data Science

• Data Analytics

• Machine Learning

• Data Modelling

• Data Visualization

• Forecasting

• Statistical Modelling

• Data Cleaning

• Story Telling

• Critical Thinking

• Innovation

• Adaptable and flexible

• Problem Solving

• Predictive Analytics

• Teamwork

• Collaboration

• Communication Skills

(verbal $ written)

• Time Management

• Statistical Modelling

• Strong Attention to

Details

• Data Entry

• Multitasking

• Presentation

• Meating Deadline

Technical Skills

• MS Excel

• Pivot Table

• VLOOKUP

• Tableau

• Dashboarding

• PostgreSQL

• PowerPoint

• MS Word

• Ability to clean

and dive into data

to find insights

• PostgreSQL

• Power BI

• Spyder

• Data Validation

• ChatGPT

• ETL and EDA

• Hypothesis Testing

• Model Deployment

• Experience managing

master data database

• Google Sheet

G

Key Strengths

• Advanced Data Analysis: Expertise in cleaning, transforming, and analysing complex datasets to extract actionable insights using Python, SQL, and Excel.

• Predictive Modelling: Skilled in building and deploying machine learning models to predict trends and optimize business outcomes.

• Data Visualization: Proficient in creating compelling, interactive dashboards using Power BI and Tableau to communicate insights to stakeholders.

• Statistical Analysis: Strong background in hypothesis testing, forecasting, and statistical modelling to drive data-driven decision-making.

• Problem-Solving: Demonstrated ability to use critical thinking to identify patterns, solve business challenges, and uncover growth opportunities.

• ETL & Data Integration: Experience in building ETL pipelines for seamless data extraction, transformation, and loading across platforms.

• Business Intelligence: Adept at delivering insights that improve KPIs and support business strategies across departments.

• Communication Skills: Proven ability to present complex findings to both technical and non-technical audiences with clarity and precision.

• Continuous Learning: Committed to staying up to date with evolving technologies in Data Science and Analytics.

Center for Clean Energy Technology Research Institute May 2023 - Till Date Location: Regina, Saskatchewan

Position: Research Assistant/Data Scientist and Analyst Duties:

• Operating a mini pilot plant for CO2 capture using amine solvents

• Screening and selection of amine solvents for industrial scale post combustion CO2 capture

• Developing machine learning model to predict the activities of amine solvents in CO2 capture systems

• Mixing gas streams to required composition for CO2 capture experiments.

• Contributing to pre-commissioning, commissioning and start-up of a process plant and sustaining performance.

• Conducting experiment and generating experimental data.

• Exploratory data analysis to identify inconsistency using python. Professional Experience

10Alytics January 2020 – May 2023

Data Scientist/Analyst (Remote)

Duties:

• Maintain databases and perform updates as necessary to ensure accuracy

• Regularly examine data reports to locate and resolve mistakes throughout

• Accurately analyze and collect data for various types of business reports

• Create business reports that provide insight into key data points

• Communicate the results of data analysis in written and verbal form to managers

• Support various departments, including marketing and sales, in reaching their goals through analysis

• Monitor data to identify changes in financial and business trends

• Remain fully engaged in the program, understanding strategic vision, key performance indicators, and the day-to-day tactical activities

• Regularly attend client and internal team meetings, and in-field ride along to stay in tune with program activities

• Work closely with marketing, sales, development, and support teams to ensure data accuracy and completeness. Assist colleagues with system-related queries and participate in cross-functional projects.

• Data cleaning and preparation using python.

• Using tools like Matplotlib, Seaborn, Tableau, or Power BI to present data.

• Writing codes in languages such as Python, and SQL to manipulate and analyze data.

• Participating in meetings

• Generating regular reports based on entered data for various company departments using data visualization tools (e.g., Excel, Power BI). Analyze data to identify trends and provide valuable insights.

• Developing machine learning models to predict the activities of chemical solvents in industrial CO2 capture systems.

• Developing web app to deploy machine learning models. Cloudy Data January 2018 – May 2020

Data Scientist/Analyst (Remote)

Duties:

• Gather data from various sources, including databases, APIs, and third-party sources.

• Clean and preprocess data to ensure its quality and suitability for analysis.

• Perform exploratory data analysis (EDA) to identify patterns, correlations, and insights.

• Create reports and dashboards to present data findings to stakeholders.

• Write and execute SQL queries to extract data from relational databases.

• Optimize queries for performance and accuracy.

• Provide insights to support business decisions and strategy.

• Analyze key performance indicators (KPIs) and metrics to monitor business performance.

• Apply statistical methods to identify trends and patterns.

• Develop custom scripts and applications for data processing and analysis.

• Build, train, and deploy machine learning models.

• Implement AI techniques for tasks such as natural language processing, computer vision, and recommendation systems.

• Use tools like Matplotlib, Seaborn, Tableau, or Power BI to present data.

• Develop and implement predictive models using machine learning algorithms.

•

Educational Qualification

Degree University Year

Masc. (in view) University of Regina 2023 – Till Date

(Process Systems Engineering)

Certifications

Full Stack Data Science and Analytics 10Alytics Full Stack Data Science and Analytics Cloudy Data Full Stack Data Science and Analytics Udemy Relevant Projects:

• Analysis and visualization of sales data to identify trends, uncover pattern and drive actionable insight using Tableau and Power BI.

• Exploratory data analysis of health datasets using python.

• Data Extraction, Transformation, and Loading using PostgreSQL and python.

• Developing a machine learning model for predicting a chance of diabetes in patience using python

• Developing a machine learning model for predicting house price using python

• Developing a web app for deploying machine learning models.

• Developing weekly sales forecast using statistical techniques.

• Developing a machine learning model for customer segmentation.

• Developing a machine learning model for product segmentation

• Developing a machine learning model for predicting the activities of chemical solvents in industrial carbon capture systems using python.

Achievements:

• Conducted comprehensive data analysis using SQL, Python, and Tableau, resulting in a 25% increase in actionable insights.

• Developed interactive dashboards that improved data accessibility and led to a 30% reduction in decision-making time.

• Created visualizations that communicated complex findings to non-technical stakeholders, increasing data-driven decision-making by 40%.

• Conducted rigorous data cleaning and preprocessing, reducing data errors by 30% and enhancing overall data quality.

• Implemented data validation procedures, resulting in a 25% decrease in data entry errors and improving data integrity.

• Developed machine learning models to predict customer churn, achieving a 15% reduction in churn rate and increasing customer retention

• Implemented time series forecasting models that improved inventory management, leading to a 20% reduction

Contact this candidate