Data Scientist Analyst

Claude Mujyanama

Data Scientist/Data Analyst

Email: ***************@*****.***

Phone: +1-512-***-****

PROFESSIONAL SUMMARY:

As a seasoned data scientist with over 4 years of hands-on experience, I bring a proven track record of leveraging advanced analytics and machine learning techniques to derive actionable insights and drive business impact. Proficient in handling complex data sets, I excel in developing predictive models, optimizing algorithms, and implementing data-driven solutions. My expertise spans across various industries, showcasing adaptability and a keen ability to translate business needs into innovative data-driven strategies. With a strong foundation in statistical analysis and programming languages such as Python and R, I am committed to staying at the forefront of emerging technologies and methodologies within the dynamic field of data science. My results-driven approach, coupled with effective communication skills, positions me as a valuable asset in transforming raw data into meaningful business intelligence.

SKILLS:

Programming: Python, R, SQL,DAX

Machine Learning: Supervised Learning, Unsupervised Learning, Neural Networks, Ensemble Methods Statistical Analysis: Hypothesis Testing, Regression Analysis, Time Series Analysis Data Manipulation: Pandas, NumPy, Data Wrangling

Data Visualization: Matplotlib, Seaborn, Tableau, Power BI Data Management: MySQL, Sql Server, PostgreSQL

Data integration: SSIS

Model Evaluation: Cross-Validation, A/B Testing, Model Metrics Feature Engineering: Variable Selection, Dimensionality Reduction Cloud Platforms: Azure,

Communication: Data Storytelling, Visualization Interpretation Problem Solving: Critical Thinking, Analytical Skills EDUCATION:

Master of Science: Data Science

Eastern University, Philadelphia, PA 2021

MBA (Master of Business Administration): Project Management University of Rwanda, Rwanda 2019

CERTIFICATION:

https://learn.microsoft.com/api/credentials/share/en-us/CLAUDEMUJYANAMA- 6116/8AB6BDD451EF5D01?sharingId=923CCCCE3D07B3BA

EXPERIENCE:

Fulton State Hospital

Support Care Professional/Data analyst feb 2024-present

I Initiated and implemented informative behavior tracker system composed of data collection system, data entry and dashboard automation ( using pivot table, excel power query etc...) The system helps all healthcare practitioners to access information through embedded link or shared reports Microsoft Power BI Data analyst Certification From July 2023- Feb 2024 Eclerx LLC /Dell Technologies

Role: Data Scientist/Data Analyst

Aug 2021 – jun/2023

Developed and implemented predictive models using Python resulting in a 15% improvement in demand forecasting accuracy.

Conducted extensive data wrangling and cleansing tasks on large datasets, enhancing data quality and integrity by 20%.

Employed advanced statistical analysis techniques, including regression analysis and time series analysis, to extract actionable insights from diverse datasets.

Led a cross-functional team in the design and execution of an innovative A/B testing framework, optimizing product features and increasing customer engagement by 18%.

Implemented and maintained machine learning models for anomaly detection, reducing system downtime by 25%.

Developed and deployed interactive data visualizations using Powe Bi, providing key stakeholders with intuitive insights into market trends and product performance.

Collaborated with database administrators to optimize and manage SQL server database databases, improving query performance by 20%.

Applied feature-engineering techniques, resulting in a 12% improvement in the accuracy of customer churn prediction models.

Enhanced T-SQL queries utilizing CTEs, ranking functions, joins, group by and aggregate functions.

Used SSIS (during ETL process) to build OLAP systems

Imported and transformed data from different data sources for Business Intelligence.

Utilized power query for data cleansing and massaging

Developed visual reports, dashboards and KPI scorecards using Power BI desktop.

Developed Power BI Bookmarks to perform year over year, quarter over quarter, YTD and QTD Xilinx

Role: Data scientist Feb 2021- Aug 2021

Data Scientist

Objective: Predict the win probability of active deals by building a predictive model based on past closed deals within salesforce

Tools & Techniques:

Python, Einstein Analytics, Excel

Outlier detection, model optimization with Grid search

Anova, chi-square, and ttest to identify relevant features

Logistic Regression (Binary Classification) for modeling

Applied K-means clustering for customer segmentation Results:

Reduced sales cycle to 6 months through prioritization of deals with a high win probability prediction

Increased forecasting accuracy by 5% through the implementation of win probability model BytelQ Analytics, India

Role: Data Scientist (Intern) Mar 2020 – feb 2021

Predicted employee attrition using Logistic Regression which lead to increasing retention by 5%

Predicted housing prices using Random Forest Regressor and improved the accuracy by 4%. from 83% up to 87%.

Recommended comedians to different audiences after Natural Language Processing (NLP) technique helped in both topic modeling and sentiment analysis techniques. Volcano Express

Role: Data Analyst Jan 2017 – Feb 2020

Created a platform that uses SQL Queries on daily basis to store and display company data

Recommended the introduction of new transport channels as a result of insights from the market research, which the Company adopted

Reduced bus departure time by implementing an online customer service from the insights obtained from the analyzed data

LANGUAGES:

English

French

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