Data Scientist - Python - SQL - ML & Analytics

DENYS NSANZIMANA

704-***-**** ********@*****.*** Location

linkedin.com/in/denysnsanzimana github.com/nsadenys Professional Summary

Extensive experience in Data science, concentrated in dealing with data using Python, R and SQL Experienced Data Scientist with expertise in Data Mining, Data Cleaning, Exploring and Visualizing Data, building and evaluating statistical models, preparing dashboard and ultimately implementing best suitable machine learning models to make strong decisions. Hands on experience using Python 3.x undertaking data analytics and visualizations using various core analytical Python libraries such as Numpy, Scipy, Pandas and Scikit - learn Well-versed in data-wrangling, loading and working efficiently through SQL server and writing complex queries. Strong Knowledge in Statistical methodologies such as Hypothesis Testing, ANOVA, Principal Component Analysis (PCA), and Time Series Analysis. Strong ability to use optimization Techniques like Gradient Descent, Stochastic Gradient Descent for regression models.

Education

University of North Carolina Charlotte Charlotte, NC Masters in Data Science and Business Analytics GPA: 3.33.0/4.0 Expected May 2026 University of North Carolina Charlotte Charlotte, NC Bachelor of Science in Data Science, Minor in Mathematics and Statistics GPA: 3.25/4.0 2021 – May 2024 Technical Skills

Skill Technology worked on

Machine learning Machine Learning Algorithms and Data Understanding & Data Pre-processing. NLP Pre-processing Techniques like Tokenization, Stemming, Lemmatization, Stop Word Removal Vectorization Techniques like Bag of Words (BOW), TF-IDF, W2V, AVG-W2V & TF-IDF Weighted W2V Libraries Spacy and NLTK.

Cloud AWS

IDE/Tools VS Code, Google Colab and Tableau.

Programming skills Python and SQL, R, SAS, Power BI Project Methodology Agile SCRUM

Version Control GIT, Big Bucket

Professional Experience

University of North Carolina at Charlotte, Charlotte, NC Aug. 2023 – May 2024 Data Scientist Office Assistant

• Collaborated with cross-functional and Business Product Team, other Agile/Development teams to align machine learning initiatives with evolving business objectives.

• Coordinated with upstream development teams to gather requirements and synchronize deployments for new analytic capabilities.

• Applied regression and classification algorithms to address key analytical problems and deliver measurable business impact.

• Used scikit-learn and Pandas for preprocessing, feature engineering, and model development on structured and unstructured data.

• Leveraged TF-IDF and topic modeling for textual insights, enhancing understanding of customer sentiment and communication trends.

• Built NLP components using VADER sentiment tools to extract meaningful patterns and improve business decision processes.

• Applied PySpark to design scalable ETL workflows and enable efficient large-scale data transformations across distributed systems.

• Developed adaptable data pipelines that evolve dynamically with changing use case requirements and operational business needs. PerScholas, Charlotte, NC May 2022 – Aug. 2022

Full Stack Java Developer Intern

• Involved in complete SDLC management – Requirements gathering, Design, Analysis, Development and Testing.

• Applied enterprise integration patterns in Java to facilitate communication between disparate systems, improving data flow and process automation for large-scale projects.

• Delivered enterprise-grade applications using Java, focusing on scalability and performance for global clients in various industries.

• Developed UML diagrams to develop use cases for University’s Financial Services web application.

• Implementing the Struts 1.3 framework for Model View Controller (MVC) pattern.

• Used Struts framework along with JSP, Servlets, HTML, CSS, JQuery and JavaScript to construct dynamic web pages. CMS - West Mecklenburg High School, Charlotte, NC Aug. 2024 – Present Math Teacher

• Developed and delivered engaging lesson plans for Math 1, Math 2 and Math 4, Linear Algebra, and Functions courses, aligning with state and district standards

• Used technology such as smart boards, online assessment tools, and educational software to enhance student learning

• Student Assessment and Data-Driven Instruction

Outlier AI, Online June 2024 – Present

Bee SFT Math Rewriters

• Doing the project to provide the prompts and responses to given Math problems in different variations, such as single-turn and Multi-Turn

• Rater-reviewing, including how to judge LaTeX rendering in the rater UI and some qualitative rules about when to accept or reject a task

• Tested the understanding of LaTeX Style Guidelines for Bee SFT Math

• Assessing the factuality and relevance of domain-specific text produced by AI models

• Crafting and answering questions related to Math

• Evaluating and ranking domain-specific responses generated by AI models. Carolina Refugee Resettlement Agency Charlotte, NC Aug. 2023 – Aug. 2024 Case Aide

• Translated articles, books, presentations, and transcripts, ensuring exact communication with clients

• Leveraged experience in a global non-profit organization, showing strong teamwork and collaboration skills

• Managed data effectively and performed general office tasks, including case scheduling.

• Kept up to date with vocabulary, cultural references, current events, and slang to ensure correct translations.

• Content production across the web, social media, and newsletters Special Projects

Social Good Research Python, Anaconda, VS Studio, Apache NetBeans, Hex, R, SQL, MongoDB, Cluster

• Assisted in analyzing customer data to identify risk factors and improve credit risk management strategies using Python and machine learning techniques.

• Cleaned and prepared data by handling missing values, encoding categorical features, and normalizing numerical fields to ensure data quality for analysis.

• Conducted exploratory data analysis (EDA) using Pandas, Matplotlib, and Seaborn to understand trends in vulnerability, credit score, and payment history in relation to default risk. Meal App Hibernate, Persistence, Eclipse, IntelliJ, and Spring Tool Suite4, Java, Maven

• Integrated dynamic modules into the organization's Confluence website using Perl, HTML, CSS, and JavaScript, enhancing content aesthetics and user engagement, resulting in a 25% increase in satisfaction.

• Enhanced existing EDA tools and frameworks using Core Java, improving efficiency and functionality for electronic design automation processes.

• Developed automation scripts in Python to streamline the testing of EDA tools, significantly reducing time spent on manual testing.

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