Machine Learning Data Analyst

SHEDRACH EZIHE CHIMUANYA

Illinois USA 309-***-**** *************@*****.***

SUMMARY

Experienced Data Analyst skilled in statistical analysis, machine learning, and data visualization. Proficient in Python, R, and SQL, with a strong track record of solving complex problems and delivering data-driven insights. Effective communicator and team player committed to driving business growth through innovative data solutions. EDUCATION

MSc in Applied Statistics and Decision Analytics Dec 2023 (Expected) Western Illinois University - Macomb, Illinois

Master of Business Administration June 2022

Ahmadu Bello University – Zaria, Nigeria

BSc Insurance and Actuarial science Oct 2016

Imo State University - Owerri, Nigeria

TECHNICAL SKILLS

• Machine

Learning

• Python

• MySQL

• Spark

• Hadoop

• Power BI

• Data

Visualization

• Forecasting

• Statistics

• Financial Analysis

• Communication

• Business Analytics

PROJECTS

• Using machine learning model (Linear Regression) to predict diamond prices on python.

• Built resource allocation model to predict the number of sales representatives needed across multiple regions.

• Using machine learning model (XGBoost, Decision tree and random forest) to predict a digital propensity model.

• Visualizing the rate of financial inclusion between developed and developing countries on PowerBi.

• Established and managed a robust code repository as a Data Scientist. Effectively organized and stored various data science codes, algorithms, and models.

PROFESSIONAL EXPERIENCE

Data Scientist Intern May 2023 – August 2023

Walgreens – USA

• Collaborated with cross-functional teams to collect, clean, and preprocess large datasets from various sources, including customer transactions, inventory, and prescription data. Conducted exploratory data analysis to uncover patterns and insights that can drive business strategies.

• Utilized programming languages like Python and SQL to develop and implement statistical models, machine learning algorithms, and data visualizations.

• Assisted in the creation of predictive models to gain insights and support decision-making processes evaluating the performance of predictive models, identifying areas for improvement, and implementing optimizations to enhance accuracy and efficiency.

• Assisted in the development and implementation of machine learning algorithms and statistical models to solve business challenges. This may involve customer segmentation, demand forecasting, recommendation systems, and other data-driven solutions.

• Contributed to data-driven projects and demonstrated a willingness to learn and adapt to new technologies and methodologies.

Main achievements:

• Successfully developed and deployed a predictive model that led to a 15% increase in digitally active customers and a 10% boost in revenue for the firm.

Data Analyst Apr 2019 – Aug 2022

First Bank Nigeria Limited – Lagos, Nigeria

• Technical point of contact for sales and operations teams for data aggregation, pre-processing, and explorative analysis while delivering analytical solutions. Tools used include Python, Power BI, and SQL.

• Modeled structured and unstructured data from multiple sources across all the bank’s database to present actionable insight to both internal and external stakeholders.

• Supported the Sales Operations with sales forecasting tools, competitor analysis, account analysis and customer insights using Python, and Power BI.

• Used statistical methods to analyze both categorical and numerical variables, explained to non-technical audience to make key business decisions.

• Big data analytics of Africa markets to show the factors that influenced the win-loss ratio in professional services as well as the market interactions between other countries using supervised (Boosting, Bagging, and tree-based algorithms) and unsupervised (K-means Clustering) machine learning approach as well as representing the results using infographics. Tools used included Python and Power BI. Main achievements:

• Created machine learning model to predict the number of sales representatives needed across multiple regions, which increased professional services revenue by 5%. Data Analyst Jan 2017 – Mar 2019

Zedvance Limited - Lagos, Nigeria

• Diminished financial discrepancies, accurately reconciling accounts while reviewing material assets, net worth, liabilities, surplus, income, and expense data transactions across all channels.

• Automation of processes using Excel VBA, and shell scripting which improved the speed and accuracy of reporting in the finance team by 20%.

• Analyzed large amounts of data to identify innovative trends while gaining insight into customer behavior.

• Utilized analytical skills for design reports in Excel, SQL, and visualized findings in Tableau.

• Created class and Entity-relationship (ER) diagrams while using SQL queries to filter data within the ORACLE database.

• Worked closely with external regulators and internal stakeholders. to design and develop robust solutions to meet client requirements for functionality, scalability, and performance. Main achievements:

• Trained and monitored service workers by providing insight on effective methods for risk control at the front line, including Interpretation and application of policies, resulting in an increase of overall work performance by 10%. TECHNICAL COMPETENCIES

• DATA VISUALIZATION: Dashboards using Python and Power BI, Infographics development using Adobe Illustrator

• DATA MINING: Time-series analysis, tree-based algorithm, NLP, and deep learning algorithm using Python.

• DATABASE ENGINEERING: Database development and query in Microsoft Access, NoSQL databases, and SQL Server.

• DATA ANALYTICS: Data preprocessing (JSON, XML and Real-time data), Insights analytics using SPSS and Python.

• WEB SCRAPING: Proficient in web scraping tools/libraries: BeautifulSoup, Scrapy, Selenium, etc.

• MACHINE LEARNING: Scikit-learn, TensorFlow, ensemble techniques.

• STATISTICAL ANALYSIS: Hypothesis testing, regression, clustering

• DATA PREPROCESSING: Data cleaning, feature engineering, normalization ACTIVITIES

• Member, NABA WIU chapter; CSR committee member

• Member National Society of Black Engineers (NSBE) WIU chapter

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