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Jr. Data Scientist Resume

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Dallas, TX

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PROFESSIONAL SUMMARY:

  • Microsoft Data Science and Machine Learning professional with 2+ years of experience specializing in Data Analysis, Tableau, Power BI and Azure Machine Learning. 3+ years of client support experience.
  • 1+ year of Data Visualization tool, Tableau experience.
  • Experience with Statistical Modelling , Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets.
  • Experience using statistical computer languages ( Python, R ) to manipulate data and draw insights from large data sets.
  • Knowledge on Deep Learning , Neural Network & Artificial Intelligence .
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real - world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Knowledge on Hadoop , Apache Spark , Hive , HBase, and Pig scripting is a plus.
  • Worked on analyzing large datasets on distributed databases and developing Machine Learning algorithms to gain operational insights and present them to the leadership.
  • Extensively involved in Data preparation, Exploratory analysis, Feature engineering using Supervised and unsupervised modeling.

TECHNICAL EXPERTISE:

Python* *R Programming* *R Studio* *Azure Machine Learning* *Tableau* MS Power BI* *SQL* *Jupyter Notebooks* *EDA* *Regression* *Classification* *Clustering* Decision Tree* *Deep Learning* *NLP* *Neural Network* *Pandas* *Numpy* *Scikit-learn* *Matplotlib* *GraphLab* *SFrame* *TensorFlow2.0* *Kera

PROFESSIONAL EXPERIENCE:

Jr. Data Scientist

Confidential, Dallas, TX

Responsibilities:

  • Studying & Transforming Data Science Prototypes.
  • Designing Machine Learning Systems.
  • Researching & Implementing ML Algorithms & Tools.
  • Developing Machine Learning Applications according to the requirements.
  • Selecting appropriate data sets and Data Representation Methods.
  • Running Machine Learning tests and experiments.
  • Performing Statistical Analysis & Fine Tuning (hyper- parameters tuning) using test results.
  • & Re systems when necessary.
  • Extending ML Libraries & Frameworks.
  • Keeping abreast of developments in the field.
  • Applying of R-squared, R.M.S.E, P-value, in the evaluation stage to extract interesting findings through comparisons.
  • Extensively using Azure Machine Learning to set up the experiments and creating Web services for the predictive analytics
  • Performing feature scaling, feature engineering and statistical modeling.

Tableau BI Developer Intern

Confidential

Responsibilities:

  • Worked with business stakeholders to design & build tableau solutions based on requirements gathered or provided.
  • Designed & implemented ETL procedures for intake of data from both internal & outside sources, as well as data is verified & quality is checked.
  • Delivered dashboards and analytics using advanced visualization techniques using Tableau.

BI Intern, BI & Data Services

Confidential

Responsibilities:

  • Prepared SAP Extractor (RE/PM) to be staged in the corporate DWH.
  • Staged 311 dataset for Reporting.
  • Used Power BI for Data Visualization.

BI/Data Analyst

Confidential

Responsibilities:

  • Designed, modeled, validated and tested statistical algorithms against various data sets including behavioral data and deployed predictive models using Python.
  • Extensively involved in Data preparation, Exploratory analysis, Feature engineering using Supervised and unsupervised modeling. .
  • Understood the Requirements and Functionality of the application from specifications.
  • Designed, developed, tested, and maintained Tableau functional reports based on user requirements.
  • Mastered the ability to design and deploy rich Graphic visualizations with Drill Down and Drop-down menu option and Parameters using Tableau.
  • Worked closely with Business users. Interacted with ETL developers, Project Managers, and members of the QA teams.
  • Created different KPI using calculated key figures and parameters
  • Developed Tableau data visualization using Cross tabs, Heat maps, Box and Whisker charts, Scatter Plots, Geographic Map, Pie Charts and Bar Charts and Density Chart.

IT Business Consultant

Confidential

Responsibilities:

  • Partnered with our client to drive overall technology transformation agenda
  • Drove the methods, strategies and approach to Cloud adoption
  • Drove the tools and methods to most efficiently drive technology changes
  • Drove AI and analytics for business and technology to turn insights into tangible outcomes
  • Helped clients with their security strategy and a proactive approach to build resilience to their networks.

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