Chidiebere Chukwuemeka

CHIDIEBERE CHUKWUEMEKA Summary: Hello, I'm Chidi and I'm so happy to meet you. I am an adaptive data professional experienced in gathering, cleaning, analyzing predictive models, and building easy machine-learning processes. A highly efficient team player, with keen attention to detail in analyzing and interpreting data to drive insights in a fast-paced environment for business development. Possess excellent interpersonal, communication, and presentation skills. I can also work efficiently even under pressure without compromising defined organizational standards. Email:-Phone No:- Address: Port Harcourt, Rivers State SKILL Data Analytics: Python, SQL, Altheryx, and R. Data Visualisation: Power BI, Tableau, Google Sheets, and Microsoft Excel. Soft Skills: Technical Writing/Reporting, Critical Thinking, Communication. Other Skills: Research, SPSS, Minitab, Microsoft Power Platform Packages, GitHub, CorelDraw. Sundry Foods Limited Data Analyst ● ● ● PROFESSIONAL EXPERIENCE ETL data from multiple sources to drive business performance. Create solutions to enable proper data integration across multiple data sources. Drive cost-saving and profit-improvement strategies through data insights. Academic Advantage Consulting(Freelance) Statistical and Research Data Analyst ● ● ● ● ● ● ● ● ● Jan. 2017 – Apr. 2023 PH, NG Analyzing raw data, drawing conclusions & developing recommendations, Compiling and validating data; reinforcing and maintaining compliance with corporate standards, Developing and initiating more efficient data collection procedures, Analyzing and interpreting qualitative and quantitative data for colleagues and clients, Using advanced Excel functions to generate spreadsheets and pivot tables, Data manipulation, cleaning, and analysis using Excel, SPSS, Stata, E-Views, Python, R, Tableau, and SQL. Responsible for loading, extracting, and validating client data. Data entry, auditing, creating reports & monitoring all data for accuracy. 80% implementation of research on research Efficient Analysis of data provided by individuals/firms so for utilization Analysis of business data, interpretation, and presentation of results, thereby increasing the authenticity of job delivery by 80% Present detailed reports about the meaning of gathered data to organizations and help them identify scenarios utilizing modifications in the data. EduBureau Educational Consultant Lead Coding Instructor ● Jan. 2020 – Present AZ, US Assist in data gathering, cleaning, and analyzing using various techniques and tools such as Python, R, SQL, and SPSS to draw conclusions & develop recommendations, Develop hypothesis and methodology for research, With our non-plagiarized work, we have had over 98% success rate with clients leaving our clients happy as ever. Speceria Enterprise Lead Data Analyst, and Facilitator ● ● ● ● ● ● Apr. 2023 – Present PH, NG Jan. 2021 – Jan. 2022 PH, NG Creating Course Modules for students, in Web Development, Scratch, and Python for Data Science. 1 | Page ● ● Review the intern's project to meet organizational standards. Help students and interns submit standard projects that can fly anywhere. Institute of Petroleum(UNIPORT)(Contract) 20 hours (Online) Microsoft Excel Data Analyst ● ● ● ● ● ● Training students to determine, analyze and improve a company’s strategic goals. Record data and data entry inputs Build a schedule to track significant dates, project instructions, or work progress using Charts. Excel for advanced data handling, cleaning, manipulation, and analysis in research. Advanced excel functions and charts. Extraction of data from databases Institute of Petroleum(UNIPORT) 40 hours Microsoft Excel Data Analyst ● ● ● ● ● ● Sept. 2019 – Sept. 2019 PH, NG Facilitate student learning to identify, analyze, and enhance corporate strategic goals. Maintain meticulous records and execute precise data entry tasks. Develop and manage schedules, utilizing charts to monitor project milestones and workflow progress. Excel in advanced data handling, cleaning, manipulation, and analysis using Excel. Demonstrate proficiency in advanced Excel functions and charting techniques. Extract valuable data from databases to enrich analytical insights and research endeavors. Eastern Polytechnic Assistant Statistics/Mathematics Lecturer ● ● ● ● ● Jul. 2020 – Jul. 2020 PH, NG Mar. 2018 – Jan. 2020 PH, NG Instructed undergraduate students across multiple departments in mathematics and statistics. Prepared comprehensive lecture notes to facilitate student learning. Played a key role in exam preparation and result assessment. Supervised undergraduate research projects, providing guidance and support. Contributed to developing, planning, and implementing a rigorous curriculum for undergraduates. EDUCATION MSc, Statistics University of Port Harcourt, Choba. 2018 – 2021 BSc, Mathematics and Statistics(Second Class Upper) University of Port Harcourt, Choba. 2012 – 2016 CERTIFICATIONS ● ● ● Certification of Completion, Project Management, The British Project Management Academy. Google Data Analytics, (Coursera) LINK Udacity Data Analyst Nanodegree - 2 | Page FEATURED PROJECTS Title: Investigate The Movie Dataset. Data was collected from The Movie Database (TMDb) which contained about 10,000 data points of information on movies on movie popularity rating, budget, taglines, keywords, and more. This project answered five key questions that are on the minds of movie lovers. Link | Keywords: Cleaning, Visualisation, Python, Movies, seaborn, pandas, NumPy. Title: Project Data Wrangling on the WeRateDogs Twitter Archive The WeRateDogs Twitter archive which contains basic tweet data for all 5000+ of their tweets was cleaned for 10 quality and tidiness issues. At the end of cleaning wonderful insights about the data were made and visuals made. Link | Keywords: Data Wrangling, Data Scraping, API, Data Visualisation, Twitter, Python, seaborn, pandas, NumPy. Title: E-Commerce Prediction using Sklearn E-Commerce data by Google Data were collected and analyzed using some machine learning techniques to predict customers' yearly amount spent from metrics such as a customer’s average. session length, time spent on the e-commerce app, time spent on the e-commerce website, and length of membership. The final model was an adequate fit for the variables in question. The project recommends the e-commerce firm seek avenues to keep customers happy, this may involve promotions, making the web and mobile applications easily accessible, and more. Link | Keywords: Data Visualisation, Python, sklearn, linear model, seaborn, pandas, NumPy PUBLICATION Obite C.P., Bartholomew D.C., Duru, I.B., Ismaila-Cosmos J. and Chukwuemeka C. (2020). A Cox Proportional Hazard Model Approach to Age at First Sexual Intercourse in Nigeria. Open Journal of Statistics, Vol. 10, No. 2. REFERENCES Senior Lecturer, University of Port Harcourt Name- Prof. Maxwell Azubuike Ijomah Email--Phone- Senior Lecturer, University of Port Harcourt Name- Biu Oyinebifun Emmanuel Email--Phone- 3 | Page