Data Science Engineer Resume
Summary : Highly qualified Data Science Engineer with experience in the industry. Established processes for data and modeling lifecycle through managing the transitions from proof-of-concept to production.
Skills : Python, R, Statistics, MySQL, PostgreSQL, MongoDB, SAS, Bash, Matlab, Machine Learning, Web Scraping.
Description :
- Involved in the effort of selecting big data platforms starting from Hadoop, Teradata & Informatica.
- Developed data pipelines to analyze large sensor datasets to predict the lifetime of the equipment and do predictive maintenance.
- Led the migration of the data from the relational back-end to an MPP solution.
- Worked on an Image Classification project to predict bad and good wafers. Worked on an Acoustics project using sensor signals to determine early detection of failures.
- Developed server-based visualization applications that leverage machine learning and predictive analytics to predict equipment state.
- Trained and evaluated machine learning models utilizing a variety of modeling techniques including boosted trees, logistic regression, and deep learning.
- Wrangled data from relational databases using SQL to construct training datasets.
Experience
10+ Years
Level
Senior
Education
BCS
Data Science Engineer Resume
Objective : As a Data Science Engineer, worked with BigQuery, Firestore, Postgres, Stripe, Mixpanel, and Hubspot. Maintained our debt models and workflows, iterate them under source control, and test them for correctness. Collaborated with sales, marketing, engineering, and growth teams to build dashboards that answer our most urgent questions.
Skills : Programming Languages, Python.
Description :
- Developed product-level python code for machine learning and analytics tools. Developed software features to integrate data science tools with EMS software.
- Managed database and flow of the data through the suite of software. Performed data pre-processing and post-processing and prepare data for optimization and/or ML model usage.
- Strategized data science team to design, develop, and maintain algorithms, data pipelines, and systems to generate predictive models and process large volumes of data efficiently.
- Developed scalable algorithms to optimize and monitor targeting performance across a diverse group of tens of thousands of advertisers.
- Designed and implemented a metadata analysis framework into the company's proprietary software to analyze imported data.
- Ensured resulting data is organized appropriately so queries from Users and Applications can run against this data.
- Managed the integration of machine learning algorithms and metadata analysis models in backend engineering.
Experience
2-5 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Objective : As a Data Science Engineer, provided highly available data infrastructure that supports both real-time streaming and batch processes for customer-facing machine learning APIs and microservices. Managed risk, security, compliance, governance, and SSDLC within the scope of data engineering.
Skills : Sql, and Java, Data Structures.
Description :
- Invited and gave in-the-moment feedback in a constructive manner. Shared and collaborated effectively with others.
- Identified and make suggestions for improvements when problems and/or opportunities arise.
- Handled, manipulated, and analyzed data and information responsibly. Followed risk management and compliance procedures.
- Kept up-to-date with developments in the area of specialism. Communicated confidently in a clear, concise, and articulate manner - verbally and in the materials I produce.
- Built and maintained an internal and external network. Sought opportunities to learn about how PwC works as a global network of firms.
- Upheld the firm's code of ethics and business conduct. Designed, implemented, deployed, supported, and maintained analytical information systems.
- Consulted with internal and external stakeholders on the use of analytics technology to solve their business problems.
Experience
2-5 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Objective : As a Data Science Engineer, collaborated with Data Services to maintain and create transformation logic and data pipelines. Created and maintained process and code documentation for existing and new solutions in the business intelligence space.
Skills : Algorithms, Database Design.
Description :
- Understood common machine learning libraries, including sci-kit-learn, pandas, numpy, scipy, NLTK, and PyTorch.
- Worked with a wide range of supervised and unsupervised machine learning algorithms, including regression, classification, clustering, anomaly detection, time series analysis, forecasting, and dimensionality reduction.
- Worked with Predictive modeling; Understood Natural Language Processing concepts and large language models, including SPACY, embeddings, transfer learning, transformers, and deep learning models for NLP.
- Understood mathematical, statistical, and probabilistic frameworks underlying machine learning algorithms.
- Built and fine-tuned machine learning solutions and leveraged specific machine learning architectures deep neural networks, RNNs, CNNs, BERT, etc.
- Possessed the ability to quickly learn, understand, and worked with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
- Built graph databases like Neo4j or equivalent; and, Understood graph theory (directed/undirected graphs and various analytical models on graphs, such as community detection, entropy measures, etc.) for creating insights into graph modeled data.
Experience
2-5 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Summary : As a Data Science Engineer, Leveraged technical knowledge, business knowledge, and best practices to troubleshoot QA complex technical BI solutions and processes. Supported solution development & design for projects within Data Services with business systems knowledge and analysis.
Skills : Machine Learning Algorithms, Deep Learning Frameworks.
Description :
- Worked with deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results.
- Used statistical computer languages R, Python, SLQ, NoSQL databases, etc. Manipulated data and draw insights from large data sets.
- Experienced with Python ML libraries; Apache Spark and Kafka.
- Developed and performed text classification using methods such as logistic regression, decision trees, SVM, and maximum entropy classifiers.
- Generated creative solutions (patents) and publish research results in top conferences (papers). Designed and developed AI/ML services on the platform.
- Designed and Developed customer use cases and applications. Innovated to come up with new solutions and improve existing solutions.
- Implemented and tested machine learning and deep learning techniques at scale.
Experience
7-10 Years
Level
Management
Education
BCS
Data Science Engineer Resume
Headline : As a Data Science Engineer, collaborated with the Enterprise Data Architect to create secure, scalable, reliable, auditable data processing, aggregation and reporting preparations within the EDW for consumption by downstream processes, visualization tools, and analysts in the data community at Flexential.
Skills : Analytical, Problem-Solving.
Description :
- Maintained documentation of the design and proper use of our software systems.
- Contributed to and helped maintain the product roadmap.
- Participated in code and design reviews. Designed and implemented automated tests.
- Performed text mining, generated and tested working hypotheses, prepare and analyzed historical data, and identify patterns.
- Consulted, collaborated, and coordinated with others across product management, engineering, and AdOps to meet company objectives.
- Presented data-driven insights to stakeholders using visualization and storytelling. Wrote efficient and well-documented Python in a peer-reviewed environment.
- Searched and selected appropriate data sets. Performed statistical analysis and used results to improve models.
Experience
5-7 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Headline : As a Data Science Engineer, experienced with object-oriented/object function scripting languages: Python preferable. Built and optimized big data data pipelines, architectures and data sets, Azure Cloud experience preferred.
Skills : Data Visualization And Storytelling.
Description :
- Collaborated with stakeholders and business analysts to understand requirements and formulate use cases.
- Coordinated with Software Test Engineers on unit, integration, and regression testing.
- Participated in a scrum team to scope, size, and execute stories in a collaborative fashion.
- Modeled data-centric architecture for product development of stock market SaaS platform Built scalable object-oriented data models and pipelines.
- Designed ad marketing keyword importance weighting scale based on an information retrieval system. Created keyword expansion project based on data.
- Experienced with data analysis and relational-style query languages. Familiared with data pipelining and ETL. Worked with semi-structured and unstructured data.
- Worked autonomously, independent thinker with strong communication/interpersonal skills. Quickly understood client requirements and translate them into software developer requirements.
Experience
5-7 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Summary : As a Data Science Engineer, worked with data engineer team on daily data quality monitoring and data validation. Created documentation and reports on data quality and data validation). Supported cross-functional teams on the day-to-day reporting/ visualization/ data analysis execution of different implementations.
Skills : Data Privacy And Security Protocols.
Description :
- Familiared with general-purpose programming and shell scripting. Created and maintained optimal data pipeline architecture.
- Identified, designed, and implemented internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Experienced/knowledge of employing statistical, data science, and machine learning algorithms on real-world problems.
- Worked with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Worked with the product team, data science team, and data engineer team to analyze product features, and track user behaviors to drive feature enhancement or new feature development.
- Identified and developed data collection strategies to support reporting on key performance indicators that directly measure online campaigns, website, and conversion funnel performance
- Designed and implemented automated reporting solutions across multiple teams and stakeholders. Translated the reports into business values and provide suggestions to drive effective business decisions.
Experience
7-10 Years
Level
Management
Education
BCS
Data Science Engineer Resume
Headline : As a Data Science Engineer, experienced with and theoretical understanding of algorithms for supervised and unsupervised modeling such as classification, regression, clustering, recommendation engine and anomaly detection. Experienced in Python programming and familiarity with python libraries such as numpy, pandas, scikit-learn etc.
Skills : Cloud Computing, Big Data Technologies.
Description :
- Analyzed and organized raw data, build data systems and pipelines, and develop code/tools to Extract, Transform, and Load (ETL) data into the appropriate structures for storage.
- Combined raw information from different sources and explore ways to enhance data quality, performance, and reliability.
- Created performance metrics for data ingest, storage, and quality to track performance indicators for communication with relevant stakeholders.
- Applied continuous improvement methodologies, such as ITIL (Information Technology Infrastructure Library) and/or Six Sigma, towards analyzing, measuring, and documenting system improvements, and assessing data quality.
- Created and presented consumable summaries of findings through effective communication and visualizations.
- Performed data processing, cleansing, mining, and analysis utilizing data sources having relevant context that is internal and external to the business domain data repositories/data warehouses.
- Interpreted, understood, and assessed customer requirements to provide custom tool development, query optimization, aggregation, categorization, and interpretation of data.
Experience
5-7 Years
Level
Executive
Education
BCS
Data Science Engineer Resume
Summary : As a Data Science Engineer, expertised in statistical data analysis. linear models, multivariate analysis, stochastic models, sampling methods, A/B testing. Deployed machine learning products in production using docker is a plus. Supported and worked with cross-functional teams in a dynamic environment.
Skills : Data Structures, SQL.
Description :
- Monitored data quality events such as missing data, non-conformant data, and unexpected values and appropriately responds to and resolved data quality issues.
- Followed appropriate protocols and procedures to handle purging and masking information deemed to be sensitive in nature by privacy stakeholders.
- Captured data lineage and produce lineage reports to inform end users and customers how the data was sourced, transformed, and where it resides. Extended data with third-party sources of information when needed.
- Implemented data governance practices and procedures that serve as guides for data science projects.
- Expertised in developing interrogating databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans. Coded and debug stored procedures are desirable.
- Advanced cybersecurity assessment of organizations, teams, and individuals. Improved assessment analysis and scoring and automation. Developed AI-enhanced attack and defensive agents.
- Designed, developed, and researched Machine Learning systems, models, and schemes. Studied, transformed, and converted data science prototypes.
Experience
7-10 Years
Level
Consultant
Education
BCS
