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Data Scientist Resume Little falls, NJ
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Title Data Scientist
Target Location US-NJ-Little Falls
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Candidate's Name
Little Falls, New Jersey, USA, PHONE NUMBER AVAILABLE,EMAIL AVAILABLE, LinkedinFully Work AuthorizedNo Visa Sponsorship RequiredOpen to RelocationPROFESSIONAL SUMMARYAs a Data Scientist and Machine Learning Engineer with a MSc degree in Electrical and Electronics Engineering and 5 years of experience, I have developed a strong foundation in using predictive modeling, data processing, and data mining algorithms to solve complex business problems in various industries. As a collaborative team player, I am keen to join a dynamic and innovative team that values data-driven decision-making. I am committed to continuous learning and staying up-to-date with the latest industry trends and technologies to drive value for the organization.ICH-Amazon Logistics Atlanta, GeorgiaData Scientist (Part time) Jan 2021 - Present Conducted data analysis on transportation operations data, including delivery times, vehicle routes, and fuel usage, to identify opportunities for efficiency improvements and cost reductions. Developed predictive models to forecast demand for transportation services, optimize vehicle routing, and minimize transportation costs, resulting in a 20% reduction in transportation costs. Created visualizations and dashboards to help managers and stakeholders understand key performance metrics, enabling data-driven decisions that improved transportation efficiency by 15%. Collaborated with cross-functional teams across Amazon to integrate transportation data with other data sources, building a comprehensive understanding of the entire logistics network. TP-Netflix Athens, GreeceData Scientist/Analyst Jan 2020 - Jul 2020 Utilized customer review data to extract meaningful business insights by developing analytical frameworks and applying advanced statistical techniques to identify trends and patterns. Developed and improved core machine learning algorithms, including feature engineering, boosted tree-based models, regression, classification, clustering, and content understanding, resulting in a 20% increase in model accuracy. Worked end-to-end on a variety of projects involving text extraction and cleanup, text processing, normalization, tokenization, NLP pipeline building, stemming and lemmatization, dependency parsing, and sentiment analysis, deploying models in production environments. Collaborated with cross-functional teams including product managers, data engineers, and other data scientists to understand business requirements and develop solutions that meet customer needs and improved business outcomes.Artikare Ankara, TurkeySenior Data Analyst Apr 2017 - Jan 2020 Built and maintained financial models to support business planning and forecasting activities, including revenue projections, cost analysis, and budgeting, resulting in accurate financial forecasts and informed business decisions.SKILLSTechnicalData Science:Machine LearningAlgorithmsA/B TestingNLPDeep LearningETL, EDA, CRISP-DMVisualization:TableauSeabornMatplotlibSoftware and Tools:PythonSQLTensorFlowKerasNLTK, SpaCyJira/ScrumBig Data:HadoopCloud:AzureGit, GitHubSoftQuick learnerDetail-orientedTeam player,Adaptability,Effectively manage time,Emotional intelligence,Conflict resolution,InitiativeCommunicating withtechnical andnon-technical teams, Worked closely with cross-functional teams, including finance, operations, and sales, to gather data and insights needed for financial modeling, developing a deep understanding of the business and its operations. Analyzed and interpreted financial and operational data to identify trends, risks, and opportunities for growth, providing actionable insights to senior management and other stakeholders. Used industry-standard machine learning and data visualization tools to transform raw data into actionable insights, including tools such as Python, Tableau.Aselsan Ankara, TurkeyData Scientist Apr 2014 - Mar 2017 Developed and deployed day and night vision Electro-optic Imaging System image classification applications for reconnaissance and surveillance with high accuracy rates up to 97%, resulting in increased operational efficiency and improved situational awareness. Demonstrated expertise in developing an imaging sensor to analyze and identify images and categorize them into predefined data collections, utilizing techniques such as classification, segmentation, detection, and tagging, resulting in accurate and efficient image analysis. Designed and implemented a model using convolutional neural network architecture used in target tracking with high accuracy for border security applications, resulting in improved security and safety measures. Led 20+ image classification projects, providing oversight and course corrections as required to ensure project success, resulting in timely and high-quality deliverables. Collaborated with product managers to design electro-optic systems for image classification and target tracking to boost yearly revenue by$10 million, resulting in improved profitability and market competitiveness.PREVIOUS EXPERIENCESAselsan Ankara, TurkeyProject Leader Feb 2005 - Mar 2014 Led the design and development of electro-optic imaging systems projects involving image classification, and neural network architecture for reconnaissance and surveillance, resulting in high accuracy rates and improved operational efficiency Aselsan Ankara, TurkeySenior Quality Assurance Engineer Sep 2003 - Jan 2005 Utilized statistical methods, including probability theory, hypothesis testing, regression analysis, ANOVA, and other modeling techniques to analyze and interpret data for business decision-making. AEMC Ankara, TurkeyResearch & Development Project Engineer Dec 2002 - Aug 2003 Designed programming microcontrollers developing and implementing embedded systems, including designing hardware circuits, writing firmware, and testing and debugging software, electronics design software EagleAselsan Ankara, TurkeyQuality Assurance Engineer Oct 1998 - Jul 2002 Skilled mathematical and statistical modeling techniques for problem-solving to identify the root cause of a problem, propose hypotheses, design experiments, and analyze the results to draw conclusions and make recommendations.EDUCATIONM.Sc. Electrical andElectronics EngineeringGazi University, Ankara, TurkeyB.S. Electrical and ElectronicsEngineeringDokuz Eylul University, zmir,TurkeyCERTIFICATES Machine Learning Networking and IT, Project ManagementCertificate, Project Planning, Controllingand Executing, Analysis usingMS Project Professional, Product Cost and CostAnalysis, ISO 9000:2000 QualityManagement SystemLANGUAGES English (Fluent) Turkish (Native) Greek (Beginner)

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