Data Analyst Science
Resume:
DERRICK L. MAJANI
Texas USA · (1-682-***-**** **************@*****.*** linkedin.com/in/derrick-majani-a75aa2104
· https://github.com/Derrick-Majani
PROFESSIONAL SUMMARY
A seasoned Data Scientist/ Data Analyst Specialist and AI Business Leader with over 5 of experience, specializing in crafting data-driven solutions to enhance efficiency and solve complex business challenges across various sectors including Hospitality, Banking, HR Analytics, Retail, Finance, and Risk Management. Known for executing impactful data science projects with a strong emphasis on advanced machine learning algorithms such as, Prophet (Time Series), XGBoost, Random Forest, Cluster Analysis, and neural networks in production environments. Proficient in code development within Big Data environments using Python, PySpark, SQL, and R and skilled in deploying end-to-end ML and statistical models. Passionate about leveraging analytical skills (both quantitative and qualitative) to design and perform A/B tests
(hypothesis analysis), develop innovative solutions, and derive actionable insights to support strategic decision- making.
WORK EXPERIENCE
JANUARY 2019 –to present.
SENIOR DATA SCIENCE /DATA ANALYST SPECIALIST
COMPASSION HEALTH CARE SERVICES LLC,
FORT WORTH TEXAS. (www.compassionhealthservicesllc.com ) MAIN RESPONSIBILITIES.
1) Patient Care Optimization: Utilized advanced analytics techniques such as XGBoost and Random Forest to analyze patient data, focusing on improving care strategies for Medicare patients at risk of developing specific diseases.
2) Led the development and deployment of end-to-end Machine Learning and statistical models in production environments, focusing on predictive analytics to identify patients at risk of developing specific diseases.
3) Spearheaded the integration of Big Data technologies including PySpark and Databricks, facilitating large- scale model deployment to production with a focus on Azure Databricks environments. 4) Enhanced data-driven decision-making through strong analytical skills(both qualitative and quantitative), conducting A/B tests to gain actionable insights and improve patient care strategies. 5) Medicare Data Analysis: Conducted comprehensive data analysis to evaluate the impact of Medicare policies on patient care and clinic operations. Developed predictive models to optimize care delivery in compliance with Medicare guidelines.
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6) Project Management: Managed long-term projects, building relations with IT managers and directors to align technology solutions with business units' needs. January 2019 – May 2023
Data Science/Data Analyst Manager- Remote
Maribel Hermans Associates Certified Public Accountants (CPA) Main Responsibilities
1. Write queries to evaluate data; organize and summarize data; publish results and findings. 2. Develop business rules based on data exploration and define algorithms and calculations to transform and enhance data.
3. Create data visualizations and infographics to convey information and help users derive meaning from data.
4. Synthesize complex data and use appropriate statistics to deliver information in a concise, meaningful way to successfully communicate to non-technical audiences. 5. Perform data cleaning and develop data definitions for specific populations, conditions, cohorts, and more. 6. Perform data exploration and investigation, contributing to the development of curated data sets. Identify relationships in data sets, determine key fields, and present findings independently. 7. Support the development of sophisticated analytic tools by documenting requirements, creating detailed specifications and mock-ups, and working with software developers to rapidly prototype, test, and revise business intelligence offerings.
8. Provide training and support for member hospitals and other business partners. 9. Support ongoing data and reporting operations and provide backup for other team members as needed. TECHNICAL SKILLS AND CERTIFICATIONS
Programming Languages & Technologies
Proficient in Python (Pandas, NumPy, Scikit-learn), PySpark, R, SQL; experienced in using Jupyter Notebook, PyCharm, and Anaconda for data science projects.
Skilled in a wide range of Python libraries including Scikit-learn, Pandas, NumPy, Seaborn, Matplotlib, Prophet(Time Series) Compute Unified Device Architecture(CUDA) hardware and Pandas Profiling for advanced data analysis and visualization.
Experienced with audit software such as IDEA Software and Microsoft Dynamic Audit Trail, enhancing auditing efficiency and accuracy.
Competent in utilizing MySQL and Databricks for robust database management and data processing tasks.
Versatile in programming languages and environments such as Python, PyCharm, Anaconda, Jupyter, Colab, SQL, PyCaret, and KNIME, enabling flexible and powerful coding solutions.
Proficient in version control using GitHub to manage codebases effectively.
Knowledgeable in emerging technologies such as ChatGPT for leveraging AI in data analysis and automation tasks.
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Data Modeling & Analysis
Skilled in using data visualization tools (Tableau) to communicate insights.
Expertise in machine learning techniques including classification, regression, and K-Means clustering for predictive modeling and data segmentation.
Solid foundation in statistical methods such as predictive analysis, hypothesis testing, and ensemble techniques for comprehensive data analysis.
Advanced proficiency in reporting tools including MS Office (Word, Excel, PowerPoint) and Tableau for creating insightful reports and dashboards.
Financial Analysis & Audit
Competent in financial modeling and familiar with financial tools and standards including Microsoft Office, QuickBooks, Microsoft Dynamics, ISA’s (International Standards on Auditing), and IFRS
(International Financial Reporting Standards).
Experienced in audit planning and documentation processes, ensuring compliance and thoroughness in audit activities.
Operating Systems & Tools
Comfortable working with both Windows and Mac operating systems for cross-platform compatibility. CERTIFICATIONS
March 2023 Power Query Editor LinkedIn
March 2023 SQL For Finance Professionals
October 2022 Applied Machine Learning Algorithms LinkedIn May 2022 Tableau for Data Scientists LinkedIn
27 JULY 2021 7 Controls to Strengthen Your Cybersecurity ISACA 23 JULY 2021 MEMBERSHIP Survey ISACA
15 JUNE 2021 Cybersecurity Through Cyber Maturity ISACA 10 JUNE 2021 Quantifying Cyber Risk ISACA
25 MAY 2021 How to Successfully Prepare for Security & Compliance Certifications. ISACA
27 MAY 2021 Security Secrets: Defining Success for Security Teams ISACA Page 4 of 6
Project Overview: Enhancing Credit Loss Predictions for CECL Compliance
Background
A financial institution was grappling with an increasing rate of loan defaults and declining revenues from unrecoverable loans. This situation was exacerbated by missing customer information and potential outliers in customer deposit, share balances, and loan balances. These challenges not only compromised the financial health of the institution but also raised compliance concerns with the Current Expected Credit Loss (CECL) standards.
Objective
The primary goal was to harness advanced data analytics and machine learning techniques to enhance the precision of customer default predictions. This project was pivotal in aligning the institution's practices with CECL requirements, which demand an upfront acknowledgment of expected credit losses over the life of financial instruments.
Responsibilities
- Feature Engineering: Conducted a thorough analysis of customer data to identify and engineer pertinent features that could significantly influence the prediction of customer defaults. This task involved managing missing information, rectifying outliers, and generating new variables to offer deeper insights into customer behavior.
- Model Development:Spearheaded the development and deployment of machine learning models aimed at predicting the likelihood of customer defaults. This phase prominently featured the use of XGBoost, an advanced ensemble technique known for its effectiveness in handling complex datasets and improving predictive accuracy, alongside logistic regression for its interpretability. The choice of XGBoost was driven by its superior performance in capturing non-linear relationships and its robustness against overfitting, making it a critical component in our modeling strategy.
Impact
The implementation of this project markedly improved the financial institution's ability to accurately predict customer defaults, leading to better-informed loan issuance decisions and enhanced compliance with CECL standards. The insights derived from the modeling efforts, particularly those powered by XGBoost, also guided strategic decisions regarding customer engagement and risk management, fostering a stronger framework for managing credit loss expectations.
- Github link: Finance_Risk_Analytics/Company_Default_Solution_File.ipynb at main · Derrick- Majani/Finance_Risk_Analytics (github.com)
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EDUCATION
JANUARY 2021-AUGUST 2022
POST GRADUATE PROGRAM IN ARTIFICIAL INTELLIGENCE FOR LEADERS, The University of Texas at Austin 3.67 G.P.A
2021- 2022
POSTGRADUATE IN DATA SCIENCE & BUSINESS ANALYTICS, The University of Texas at Austin 3.33 G.P.A
DECEMBER 2017
KENYATTA UNIVERSITY BACHELOR OF COMMERCE (FINANCE OPTION) CISA (CERTIFIED INFORMATION SYSTEM AUDITOR) MEMBERSHIP. JUNE 2015 CS (CERTIFIED SECRETARIES) PART II.
Vision Institute of Professionals June 2012
CPAK Part III Section 5& 6 (Pass)
Vision Institute of Professionals
Certified Public Accounts Part II (Section 3 & 4) June 2011 Certified Public Accounts Part I (Section 2) June 2010 Vision Institute of Professionals Dec 2009
Certified Public Accounts Part I (Section 1)
Chavakali High School June 2007
Kenya Certificate of Secondary Education B Plain Aggregate. PROFESSIONAL AFFILIATIONS
a) ISACA MEMBER 936810
b) ACA MEMBER 5226454
c) ICPAK MEMBER 12236
d) CS (Certified Secretarial) NSC/227283
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HONORS AND AWARDS
Star for the Month May-June 2022. The Accountant Journal. The-Accountant-Journal-May-June-2022.pdf
(accountantjournal.com)
May 2019. Awarded Certificate of Commendation by the Institute of Certified Public Accountants for Outstanding contribution to the Accountancy Profession.
June 2017. Featured as the Star of the month in the famous Accountant Journal of the Institute of Certified Public Accountants of Kenya. November 2016. Using Macros. Excel Seminar-Open Cast Labs
April 2016. Elected as Msa County Convenor for the Institute of Certified Public Accountants of Kenya unopposed.
July 2015 Appointed to Membership Services Committee by ICPAK. Serving in Youth Affairs Sub- committee and in good standing.
PUBLICATIONS DONE
Accountant Journal- Auditors Need to Consider Data Resilience (May-June) 2022 The-Accountant-Journal-May-June-2022.pdf (accountantjournal.com)
KASNEB Newsline_Issue_2_2020.Integrating Risk Management Into The Technology Life Cycle. Page 18. Newsline_Issue_2_2020.pdf (kasneb.or.ke)
Sep-October 2019 The Accountant Journal-Securing My Data. https://www.icpak.com/the-accountant/
July- August 2019 The Accountant Journal pg. 32 https://accountantjournal.com/?p=2830
January- February 2019. Accountant Journal. Information Security Awareness (What the Internal Auditor Should Know)
July-August 2018. Accountant Journal- Merging of Internal Audit. COMMUNITY SERVICE
Art Paintworks
Heartland Family Church-TexasHome Page - Heartland Family Church
Glory Tabernacle Church Mombasa -2018-2021(ICT Department (November 2018 -2021)
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