Seasoned data scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing several years of related experience strengthening company operations. Experienced in fast-paced environments and adaptable to last-minute changes. Thrives under pressure and consistently earns high marks for work quality and speed. Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Senior Data Scientist
UCare Minnesota
Minneapolis, MN
09.2023 - Current
Utilized machine learning algorithms such as random forest, logistic regression, neural networks, and support vector machines.
Identified potential risks associated with deploying AI-based solutions into production environments.
Identified opportunities for improvement by leveraging advanced analytics methods such as clustering or anomaly detection.
Designed experiments with controlled variables to measure the impact of changes in marketing campaigns or product features.
Conducted data analysis to identify trends in customer behavior.
Developed predictive models to forecast customer attrition and retention.
Developed a framework for monitoring the performance of deployed models over time via key metrics tracking mechanisms.
Built automated pipelines using scripting languages such as Python or R for extracting, transforming, and loading data into databases.
Compiled detailed reports summarizing findings from statistical analysis or machine learning models.
Evaluated new technologies that could enhance current workflows related to data collection, storage, processing, visualization.
Collaborated with stakeholders across departments to define business objectives and ensure alignment between data science outputs and organizational goals.
Provided guidance on best practices for collecting, storing, and analyzing data.
Collaborated with stakeholders to define business requirements for analytics projects.
Managed multiple projects simultaneously while ensuring timely delivery according to requirements.
Mentored junior team members in developing their technical skillset related to data science projects.
Ensured accuracy of results by validating model assumptions against real-world scenarios or domain knowledge.
Developed new functions and applications to conduct analyses.
Senior Data Scientist
Md think
Linthicum Heights, MD
01.2020 - 08.2023
Mentored junior team members in developing their technical skillset related to data science projects.
Created dashboards for visualizing large datasets and key performance indicators.
Optimized existing models through hyperparameter tuning and feature engineering processes.
Developed predictive models using machine learning, natural language and statistical analysis methods.
Designed models, algorithms and visualizations to distill insights from huge volumes of data.
Distilled data to devise solutions related to budgeting, staffing and marketing decisions.
Cleaned and manipulated raw data.
Applied feature selection algorithms to predict potential outcomes.
Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research.
Used statistical software to analyze and process large data sets.
Tested, validated and reformulated models to foster accurate prediction of outcomes.
Developed new functions and applications to conduct analyses.
Data Scientist
Newwave Telecom & Technologies
Windsor Mill, MD
01.2018 - 05.2020
Analyzed data from various sources to generate insights into customer behavior and segmentation.
Developed machine learning algorithms to predict customer churn rates.
Integrated trained models into web applications using Flask framework or other web frameworks.
Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
Implemented supervised and unsupervised learning algorithms such as random forest, KNN, SVM, logistic regression in Python and R environment for predictive analytics projects.
Developed and maintained predictive models to identify customer segments for targeted marketing campaigns.
Distilled data to devise solutions related to budgeting, staffing and marketing decisions.
Tested, validated and reformulated models to foster accurate prediction of outcomes.
Cleaned and manipulated raw data.
Conducted routine maintenance and repairs on mechanical systems and industrial equipment.
Completed routine maintenance and repair.
Exceeded customer satisfaction by finding creative solutions to problems.
Operated equipment and machinery according to safety guidelines.
Approached customers and engaged in conversation through use of effective interpersonal and people skills.
Completed day-to-day duties accurately and efficiently.