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Data Scientist Resume

Vienna, VA

SUMMARY:

Data Scientist and Python Back - End Developer 6 years experience of technical roles on different levels. Coming from Startup Domain, I possess Strong desire to take initiative; thrive on change and comfortable with ambiguity.

EXPERIENCE:

Confidential, Vienna, VA

DATA SCIENTIST

Responsibilities:

  • Real time streaming solutions.
  • Build Data Pipelines to Transform and Aggregate data from various sources.
  • Producing and Consuming Event-Driven Data.
  • Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, or data mining techniques.
  • Leverage models to address key growth challenges such as cross-channel spend allocation, response modeling, advertising partner quality measurement, customized content.
  • Conceptualize, design and build data-fueled insights to help Aegis improve analytics for prospects and customers.
  • Data discovery, cleaning, model selection, validation, and deployment; designing and building of machine learning pipelines (data extraction, feature engineering from structured and unstructured data).
  • Developing Functions, Models and Complex Algorithms to provide unique insight into data.
  • Build complex functions that answers questions for business.
  • Model Data at Rest and enable powerful data analysis.
  • R&D Algorithms and Machine Learning Models in Anomaly Detection.
  • Production Code Deployment in Python.
  • Full Product Ownership.
  • Data Mining in Jupyter Notebook.
  • Azure Cloud Infrastructure for Machine Learning on Real Time Streams.
  • Advocating for Best Practices and Continuous Learning.
  • Collaborate with Data Engineering Team for Hosting Machine Learning Cloud Solutions.
  • Apply Machine Learning Algorithms for Anomaly Detection and Time Series Analysis in Transactional Streaming Data.
  • Report weekly continuous progress to Management in Technical Demoes and presentations.

Confidential

PYTHON DEVELOPER

Responsibilities:

  • Solved complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills.
  • Time Series Analysis Recurrent Neural Networks TensorFlow Keras for Medical Health data for adaptive outlier detection in Python.
  • Deployed system on Microsoft Azure.
  • Developed Chatbot for Ordering SIM cards from Confidential with Python.
  • Managed SQL database for coverage data across US.
  • Built BI dashboard on Tableau for potential target clients.

Confidential, Manassas, VA

AI ALGORITHM DEVELOPER

Responsibilities:

  • Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance and resolve problems, using solid problem-solving skills with strong verbal/written communication skills.
  • Utilized AWS Code Pipeline and Code Commit for Development and Deployment.
  • Python NLP Integrated Google Cognitive API in Java.
  • Pthon NLP LDA Topic categorization from Chat logs.
  • Python NLP multimodal Sentiment Analysis in Deep Neural Network.
  • Python NLP Named Entity Recognition in Chat logs.
  • Python NLP Speech to word recognition.
  • Architected Python AI Academic Advising Decision Modeling System on AWS Lambdas, SQL and Alexa.
  • Used Tableau for Operations Monitoring.
  • Processed SQL stored datasets for client data.
  • Developed Deployment Pipelines in Python into AWS Lambdas.
  • Developed Python Testing Code for Staging and Quality Assurance.
  • Built Python Code Development, Staging and Production Pipeline AWS Lambda.
  • Version Control of Code on AWS GitCommit.
  • Research, Innovation and Prototyping of Deep Learning AI Units in Python.

Confidential, FAIRFAX

ANALYTICS DEVELOPER

Responsibilities:

  • Built and Managed a team of talented data scientists to deliver impact.
  • Worked independently with minimum supervision and as a team member.
  • Code Pipeline Management and Version Control on BitBucket.
  • Installed Integration Pipelines applying CD/CI protocols.
  • Deployed Tableau Workbooks on AWS Cloud Linux.
  • Monitred Operation of Servers and Created Cost Alerts.
  • Deployed Tableau Workbooks within Product Front End.
  • Installed and Managed Data Storage Pipelines on AWS Dynamo DB.
  • Installed Integration units between Front End Tableau workbooks and AWS SQL.
  • Created Environments and Launched Servers for Data Capturing.
  • Captured and Wrangled Data in Python, R and Tableau.
  • Developed Code with Python and Selenium to automatically capture client specified data sources.
  • Developed with Python a continous scanning unit for any data changes in it’s main source.
  • Developed Python Code within Tableau Package Tabpy for SQL Injection and Selenium Web Driving.
  • Designed and Operated Front End GUI in Tableau.
  • Designed Mobile Version of the App on Smart Phones.
  • Investigated multiple solutions for Geo-Web Apps ArcGIS, Python Geo-Packages, Tableau, Cartao.
  • Negotiated with Tableau on Free AWS Cloud Credits for Startups.
  • Developed Business Case on Product Worth for potential investors.

Confidential, WASHINGTON, DC

DATA ANALYST

Responsibilities:

  • lead team of five data scientists, engineers and other data & analytics professionals.
  • Github Code Version Control.
  • Setup Environment Operations for Python, R and Tableau Packages.
  • Archived Data Sources Catalouge in SQL.
  • Wrangled/Cleaned and Merged Data with Excel, SQL and Tableau.
  • Stored Data into Relational SQL Databases using SQL Injections with Python.
  • Ran Machine Learning Experiment with Pruning Trees on AWS.
  • Developed GeoCoding Python unit for identifying the Lat/Lon of Addresses.

Confidential

DATA SCIENTIST

Responsibilities:

  • I was given limited accesss to the $150K Traffic data and also data on Metro Riders population.
  • Predict the number of Metro Riders in the coming year in R.

Confidential

OPERATIONS RESEARCH ANALYST

Responsibilities:

  • Produced the Confidential with over 85 contraints using Python integer programming optimization.

Confidential

OPERATIONS RESEARCH ANALYST

Responsibilities:

  • Webscraped geo-location (lat/lon) of every Confidential store across.
  • Coded and solved Integer Programming models in Python and Gurobi optimization engine.

Confidential

TECHNICAL SUPPORT

Responsibilities:

  • Joined into project for re-architeting technical solutions used in my unit.
  • Simulated operation of multiple proposed system architectures on Matlab Simulink.

Confidential

GRADUATE RESEARCH

Responsibilities:

  • Used Bleeding Edge research tool of Quantum Wise in integration with Python to simulate modified structures of Multi-Layer Graphene.

Confidential

TECHNICAL SUPPORT

Responsibilities:

  • Develop C# solutions to automate some manually drivern operations.

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