Kanfidini Jacques Ouali
Omaha,Ne
Summary
LinkedIn Profile: Kanfidini Jacques Ouali Objective: As a data scientist with a passion for extracting insights from complex datasets, I am seeking opportunities to leverage my analytical skills and domain knowledge to drive data-driven decision-making in a dynamic organization. Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology. Precocious Data scientist ready to accept increasingly complex challenges associated with maintaining and exploiting growing data stores. Driven to expand experience through hands-on training and guided participation in effective data management tasks. Ready to immediately contribute beneficial input to employers. Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level data analysis position. Ready to help team achieve company goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Personable and analytical with knack for problem-solving and data interpretation. Possesses solid understanding of statistical methods and machine learning algorithms, proficient in Python and R programming. Committed to leveraging data insights to drive impactful decision-making.
Offering strong foundation in mathematics and computer science, eager to learn and develop in data-driven environment. Brings understanding of statistical analysis and programming skills in Python and R. Ready to use and develop these analytical and coding skills in Data Scientist/Analyst role.
Developed key skills in data analysis and machine learning within collaborative and fast-paced environment. Demonstrated ability to extract actionable insights from complex datasets and present findings to stakeholders. Seeking to transition these transferrable skills into new field to drive data-informed decisions.
Professional data scientist with background in statistical analysis and machine learning, prepared for challenging role. Delivered impactful contributions in previous internship by assisting with predictive modeling and data visualization. Highly collaborative team player, adaptable to dynamic project requirements, and skilled in Python and R.
Qualified Data Science Intern with solid foundation in statistical analysis and machine learning. Contributed to predictive modeling projects and data visualization tasks in previous internship, demonstrating practical applications of theoretical knowledge. Proficient in Python and R, with keen ability to interpret complex data sets and collaborate effectively within team environments.
Experienced with statistical analysis, machine learning, and data visualization. Uses Python and R to develop and interpret complex data sets for actionable insights. Strong understanding of team collaboration and adaptability in fast-paced environments.
Data Scientist with strong analytical and problem-solving skills. Adept at leveraging data to drive actionable insights and support business goals. Skilled in Python, R, and SQL, with focus on machine learning and statistical analysis. Reliable team player, adaptable to changing needs, and consistently delivers results through collaboration and effective communication.
Possesses versatile skills in project management, problem-solving, and collaboration. Brings fresh perspective and strong commitment to quality and success. Recognized for adaptability and proactive approach in delivering effective solutions.
Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.
Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.
Experienced leader with strong background in guiding teams, managing complex projects, and achieving strategic objectives. Excels in developing efficient processes, ensuring high standards, and aligning efforts with organizational goals. Known for collaborative approach and commitment to excellence.
Demonstrates strong analytical, communication, and teamwork skills, with proven ability to quickly adapt to new environments. Eager to contribute to team success and further develop professional skills. Brings positive attitude and commitment to continuous learning and growth.
Results-oriented achiever with proven ability to exceed targets and drive success in fast-paced environments. Combines strategic thinking with hands-on experience to deliver impactful solutions and enhance organizational performance.
Detail-oriented individual with exceptional communication and project management skills. Proven ability to handle multiple tasks effectively and efficiently in fast-paced environments. Recognized for taking proactive approach to identifying and addressing issues, with focus on optimizing processes and supporting team objectives.
Dynamic individual with hands-on experience in Data Visualization and Analytic and talent for navigating challenges. Brings strong problem-solving skills and proactive approach to new tasks. Known for adaptability, creativity, and results-oriented mindset. Committed to making meaningful contributions and advancing organizational goals.
Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm.
Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Scientist position. Ready to help team achieve company goals.
Recent graduate with foundational knowledge in Data Science and hands-on experience gained through academic projects and internships. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.
Tech-savvy innovator with hands-on experience in emerging technologies and passion for continuous improvement. Skilled in identifying opportunities for technological enhancements and implementing effective solutions. Adept at leveraging new tools and methods to solve problems and enhance productivity. Excels in adapting to fast-paced environments and driving technological advancements.
Innovative technology professional with several years of diverse experience. Skilled in enhancing systems and aligning technical solutions with business objectives. Proven success in leading projects from start to finish and contributing to organizational growth and success.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Entry Specialist
New Cassel Retirement Center
11.2018 - Current
- Maintained strict confidentiality of sensitive information, adhering to established guidelines and protocols.
- Completed data entry tasks with accuracy and efficiency.
- Compiled data and reviewed information for accuracy prior to input.
- Contributed to team success by consistently meeting or exceeding performance targets in speed, accuracy, and output volume.
- Reduced errors in data records by conducting thorough quality checks and implementing corrective measures.
- Increased productivity through effective multitasking, prioritizing diverse workloads according to deadlines.
- Ensured timely and accurate delivery of reports by maintaining up-to-date databases and spreadsheets.
- Corrected data entry errors to prevent later issues such as duplication or data degradation.
- Scanned documents and saved in database to keep records of essential organizational information.
- Enhanced data accuracy by meticulously inputting and validating information from various sources.
- Expedited project completion timelines by efficiently managing high volumes of data entry tasks.
- Successfully managed fluctuating workloads due to seasonal variations or unexpected changes in staffing levels.
- Corrected data entry errors to prevent duplication or data degradation.
- Demonstrated versatility in handling multiple software platforms simultaneously, adapting quickly to new technologies as they emerged.
- Developed a system for organizing electronic files, improving overall document accessibility and retrieval times.
- Maintained files, records, and chronologies of entry activities.
- Verified data files prior to entry to maintain high data accuracy.
- Updated and maintained customer information, documents and records.
- Managed and organized documents for data entry tasks.
- Assisted with developing data entry processes.
- Managed documents by organizing forms, making photocopies, filing records, preparing correspondence, and creating reports.
- Checked for accuracy by verifying data and records.
- Used computer software to store and retrieve data.
- Created spreadsheets for more efficient recordkeeping.
- Followed data entry protocols, rules and regulations.
- Analyzed current data records to provide detailed reports.
- Developed and implemented data entry operations.
- Kept optimal quality levels to prevent critical errors and support team performance targets.
- Compiled, verified accuracy, and sorted information to prepare source data for computer entry.
- Compared transcribed data with source document to detect and correct errors.
Data Science Intern
Lewis and Clark Historic National Center
03.2023 - 07.2023
- Mars 2023
- Worked collaboratively with cross-functional teams to gather requirements and define project objectives
- Cleaned and processed large-scale datasets using pandas and SQL to prepare them for analysis
- Developed and deployed machine learning models to address business challenges, such as customer churn prediction and demand forecasting
- Presented findings and recommendations to stakeholders through clear visualizations and reports.
- Optimized machine learning models for improved prediction accuracy and performance.
- Managed multiple projects simultaneously, demonstrating strong time management and prioritization skills under tight deadlines.
- Collaborated with cross-functional teams for better understanding of business requirements and objectives.
- Implemented data visualization techniques to effectively communicate insights to stakeholders.
- Evaluated model performance using various metrics, ensuring alignment with project goals and stakeholder expectations.
- Enhanced data processing efficiency by automating data collection and preprocessing tasks.
- Identified trends within large datasets, uncovering actionable insights for business growth opportunities.
- Developed custom algorithms to solve unique challenges in data analysis and modeling.
- Actively engaged in continuous learning opportunities – attending seminars, workshops, or webinars to acquire new skills and knowledge in the data science field.
- Participated in team brainstorming sessions to identify innovative solutions for complex problems facing the organization.
- Utilized programming languages such as Python or R extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
- Applied statistical methods for robust analysis of complex datasets in various domains such as marketing, finance, or operations.
- Partnered closely with other departments – bridging gaps between technical nuances of Data Science and specific business needs.
- Conducted extensive research on cutting-edge techniques, staying current with industry advancements in data science.
- Streamlined data pipelines for seamless integration of new data sources into the existing system.
- Designed experiments to test hypotheses and validate model assumptions, refining analytical approaches as needed.
- Provided mentorship and guidance to fellow interns, fostering a collaborative work environment.
- Maintained detailed documentation of project progress, methodologies employed, and results obtained – facilitating knowledge transfer across teams.
- Presented findings and recommendations to senior leadership, influencing strategic decision-making processes.
- Assisted in curating high-quality datasets through rigorous cleaning and validation processes, ensuring reliable inputs for analysis.
- Translated cost and benefits of machine learning technology for non-technical audiences.
- Created data visualization graphics, translating complex data sets into comprehensive visual representations.
- Used SAS, SPSS and Python to manage and analyze large data sets.
- Used rapid application development tactics during programming phases.
- Took notes during meetings to better understand project initiatives and to distribute to stakeholders.
- Performed advanced data extraction and data manipulation.
- Assisted with creating and updating training materials for personnel use.
- Developed and established strong business relationships with both internal personnel and external solution providers.
- Collaborated with business partners to understand business objectives.
- Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
- Shadowed database personnel to learn new methods to achieve job duties.
- Maintained schedules of client interactions and project delivery dates.
- Applied appropriate data science techniques to solve business problems.
- Developed and coded software programs, algorithms and automated processes to cleanse and evaluate large datasets from multiple disparate sources.
- Modeled predictions with feature selection algorithms.
- Applied loss functions and variance explanation techniques to compare performance metrics.
- Leveraged mathematical techniques to develop engineering and scientific solutions.
- Developed polished visualizations to share results of data analyses.
- Improved data collection methods by designing surveys, polls and other instruments.
- Helped develop database solutions using multiple SQL languages.
- Pinpointed meaningful insights from large data and metadata sources.
- Created data mining architectures and models to identify trends in large data sets.
- Brainstormed with data personnel to define data modeling standards for projects.
- Participated in workshops to advance skills.
- Performed data administration duties for databases.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
- Compiled, cleaned and manipulated data for proper handling.
- Implemented randomized sampling techniques for optimized surveys.
- Ran statistical analyses within software to process large datasets.
Education
Bachelor of Science - Data Science
Maryland University Global Campus
Maryland 01.2022
Associate of Science - General Studies
Metropolitan Community College
Omaha, NE05.2020
Skills
- Proficient in programming languages such as
- Python, R, and SQL
- Experience with machine learning algorithms including regression, classification, clustering, and neural networks
- Skilled in data preprocessing, feature engineering, and model evaluation
- Strong understanding of statistical methods and hypothesis testing
- Familiarity with big data technologies such as Hadoop, Spark, and Hive
- Expertise in data visualization tools like Matplotlib, Seaborn, Power BI, AWS console and Tableau
- Solid understanding of data ethics, privacy, and security best practices
- SQL
- Performance Data Synthesis
- Decision trees
- Microsoft SQL Server
- Data Modeling Design
- Simulation Modeling
- Computational design
- Machine Learning
- Rapid Application Development (RAD)
- PostgreSQL
- Predictive modeling
- Gradient Boosting
- Anomaly Detection
- Natural Language Processing
- Cross-Validation
- SQL Databases
- Support Vector Machines
- Logistic Regression
- Graph Theory
- Ensemble Methods
- Model Evaluation
- Random Forests
- Principal Component Analysis
- Big Data Analytics
- Dimensionality Reduction
- Recurrent Neural Networks
- R Programming
- K-means clustering
- Linear Regression
- Feature Engineering
- Convolutional Neural Networks
- Model Selection
- Regularization Techniques
- Data Wrangling
- Association Rule Learning
- Neural Networks
- Sentiment Analysis
- Collaborative Filtering
- Scikit-Learn
- Interpersonal Skills
- Decision-Making
- Amazon Redshift
- Team Collaboration
- Statistical Analysis
- Data operations
- Task Prioritization
- Data Governance
- Multitasking Abilities
- Adaptability and Flexibility
- Professionalism
- Active Listening
- Adaptability
- Self Motivation
- Data Visualization
- Professional Demeanor
- Large dataset management
- Data Aggregation Processes
- Analytical Skills
- Goal Setting
- Written Communication
- Problem-solving aptitude
- Reliability
- Organizational Skills
- Problem-Solving
- Advanced data mining
- Interpersonal Communication
- Time Management
- Attention to Detail
- Continuous Improvement
- Data science research methods
- Relationship Building
- Teamwork and Collaboration
- Time management abilities
- Problem-solving abilities
- Excellent Communication
- Data programming
- Enterprise Resource Planning Software
- Team building
- Effective Communication
- Analytical Thinking
- Data Acquisitions
- Data repositories
- Python Programming
- Machine learning
- Python programming
- R programming
- Scikit-learn
- Linear regression
- Logistic regression
- Natural language processing
- Cross-validation
- SQL databases
- Data wrangling
- Model evaluation
- Model selection
- Random forests
- Microsoft SQL server
- Data modeling design
- Neural networks
- Big data analytics
- Feature engineering
- Convolutional neural networks
- Performance data synthesis
- Graph theory
- Sentiment analysis
- Simulation modeling
- Association rule learning
- Recurrent neural networks
- Time series analysis
- Bayesian statistics
- Network analysis
- Deep learning
- Decision-making
- Statistical analysis
- Excellent communication
- Time management
- Teamwork and collaboration
- Analytical thinking
- Organizational skills
- Interpersonal communication
- Written communication
- Data governance
- Data aggregation processes
- Problem-solving
- Attention to detail
- Relationship building
- Active listening
- Teamwork
- Critical thinking
- Team collaboration
- Effective communication
- Adaptability and flexibility
- Collaborative teamwork
- Task prioritization
- Self motivation
- Data-driven decision making
- Interpersonal skills
- Goal setting
- Complex Problem-solving
- Continuous improvement
- Project management
- Professional demeanor
- Agile methodologies
- Data analytics
- Analytical skills
- Data warehousing
- Collaborative filtering
- Image processing
- Optimization algorithms
- Anomaly detection
- Regularization techniques
- Dimensionality reduction
- Principal component analysis
- Geospatial analysis
- Data acquisitions
- Multitasking
Accomplishments
- Predictive Maintenance Model
- Developed a machine learning model to predict equipment failures in a manufacturing plant, resulting in a 20% reduction in downtime and maintenance costs
- Utilized historical sensor data and maintenance logs to train the model using Python and scikit-learn
- Implemented the model in a production environment using Docker and Kubernetes for scalability
Affiliations
- New Generation Student (TRIO)
Certification
- Oracle Database SQL Certified Associate Certification- Oracle Corporation.
- Machine Learning Engineer Nanodegree Program– Udacity.
- R Programming Language Certifications (various providers).
- Advanced Machine Learning Specialization– National Research University Higher School of Economics via Coursera.
- SAS Certified Advanced Analytics Professional Using SAS 9 - SAS Institute Inc.
- Tableau Desktop Qualified Associate Certification - Tableau Software.
- MongoDB Certified Developer, Associate Level – MongoDB Inc.
- Certified Analytics Professional (CAP) - INFORMS.
- Tableau Desktop Specialist Certification - Tableau Software.
- Excel to MySQL, Analytic Techniques for Business Specialization Certificate- Duke University via Coursera.
- Deep Learning Nanodegree Program– Udacity.
- AWS Certified Big Data – Specialty Certification - Amazon Web Services (AWS).
- CompTIA Certification
Languages
English
Professional Working
French
Full Professional
Timeline
Data Science Intern
Lewis and Clark Historic National Center
03.2023 - 07.2023
Data Entry Specialist
New Cassel Retirement Center
11.2018 - Current
- Oracle Database SQL Certified Associate Certification- Oracle Corporation.
- Machine Learning Engineer Nanodegree Program– Udacity.
- R Programming Language Certifications (various providers).
- Advanced Machine Learning Specialization– National Research University Higher School of Economics via Coursera.
- SAS Certified Advanced Analytics Professional Using SAS 9 - SAS Institute Inc.
- Tableau Desktop Qualified Associate Certification - Tableau Software.
- MongoDB Certified Developer, Associate Level – MongoDB Inc.
- Certified Analytics Professional (CAP) - INFORMS.
- Tableau Desktop Specialist Certification - Tableau Software.
- Excel to MySQL, Analytic Techniques for Business Specialization Certificate- Duke University via Coursera.
- Deep Learning Nanodegree Program– Udacity.
- AWS Certified Big Data – Specialty Certification - Amazon Web Services (AWS).
- CompTIA Certification
Bachelor of Science - Data Science
Maryland University Global Campus
Associate of Science - General Studies
Metropolitan Community College
Similar Profiles
Karla GruberKarla Gruber
Laundry/Housekeeping at New Cassel Retirement CenterLaundry/Housekeeping at New Cassel Retirement Center
ANDREA SEYMOURANDREA SEYMOUR
Bartender at Cassel BarBartender at Cassel Bar
Sarah SekelSarah Sekel
Spirit Gear Coordinator at St. Joseph Hessen Cassel SchoolSpirit Gear Coordinator at St. Joseph Hessen Cassel School