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Junior data scientist and software developer

Location:
San Diego, CA
Posted:
April 08, 2019

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Resume:

Partha Ray

**** ******* **, *** *****, CA***** C: 240-***-**** Email: ray.partha119@.com LinkedIn: https://www.linkedin.com/in/raypartha/

GitHub: https://github.com/pman117/Data_Science_Portfolio/

Junior Data Scientist and software engineer and continuous exponential learner candidate pursuing Master’s in Science in Computer and Electrical Engineering from Georgia Institute of Technology and skilled in implementing machine learning algorithms to solve business problems. Proficiency with machine learning, supervised learning, unsupervised learning, math, algorithmic thinking, statistics, physics, computer science, and engineering. In depth experience with Python, R, C, C++, C#, Java, Stakeholder driven data science, KPIs, data science process, NumPy, Pandas, raw data gathering, ETL, Scrapy, raw data cleaning, sci-kit learn, interactive data visualization, seaborn, Matplotlib, Bokeh, Plotly, Tableau, Excel experimental design, SQL. Expert time allocation management skills, and soft skills.

C O R E S K I L L SAND C O M P E T E N C I E S

Stakeholder driven data science

Key Performance Indicators (KPIs)

Data Science Process

Initial Evaluation Project Potential Value

Baseline Model Evaluation

Experimental Design

A/B Testing

Data Engineering

Team Discussion of data science process

Raw data gathering

Web Scraping

Raw data cleaning

Extract, transform, load (ETL)

Interactive data visualization

Feature Engineering

T E C H N I C A L S K I L L S

Dimension Reduction

Feature Selection

Machine Learning (ML) model implementation, monitoring and feedback

Soft skills

Project and Time management skills

ML model to Baseline Model Evaluation via A/B Testing

Business Tools

GitHub for version control, Slack, Trello, Tableau, Excel, SAS

Methodologies

Stakeholder driven data science, Data Science process, Initial Evaluation Project Potential Value, Baseline Model Evaluation, Experimental Design, A/B Testing, T- Test, p-value, Team Discussion of data science process, Raw data gathering, Web Scraping, Raw data cleaning, ETL, Interactive data visualization, Feature Engineering, Dimension Reduction, Feature Selection, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning model implementation and monitoring and feedback, ML model to Baseline Model Evaluation via A/B Testing

Testing Tools

Selenium IDE, Selenium WebDriver

Operating Systems

Windows, Ubuntu, Linux, GNU, Dual Boot Ubuntu Linux with Windows

Databases

Relational Management Database Systems (RDBMS), Oracle, MySQL, PostgreSQL, SQLAlchemy

Languages

C, C++, C#, Python, R, Java, PHP, Object oriented programming (OOP), Harbour, Visual FoxPro

Others

C compiler, Minimalist GNU for Windows(MinGW), .NET Framework, Django Framework, Anaconda Navigator Graphical User Interface (GUI), Anaconda Prompt, Informatica - Power Center, Talend Open Studio, NumPy, Pandas, Scrapy, Matplotlib, Seaborn, ggplot, Bokeh, Plotly, Geoplotlib, GeoJSON, GeoPandas, ggplot2, highcharter, sunburstR, Leaflet, D3.js, MATLAB, GNU Octave, JSON

IDE

NetBeans, Jupyter Notebook, JupyterLab, Spyder, PyCharm, Enthought Canopy, Selenium, Vim, RStudio, Eclipse

Editors

Notepad++, Visual Studio Code (VS Code)

Business Skills

Stakeholder driven data science, time allocation management to meet project deadlines, soft skills, verbal communication, Hacker Mindset, Engineering Mindset, Curiosity

E D U C A T I O N

Georgia Institute of Technology, Atlanta, GA

Master’s in Science in Electrical and

Computer Engineering with

thorough specialization in Machine Learning 2019-2022

The Pennsylvania State University,

State College, PA

Bachelor’s in economics w/Statistics

2005-2010

CERTIFICATIONS

Stanford University Online JSON Data

https://prod-cert-bucket.s3.amazonaws.com/downloads/df96403bae8b4f12b7deaafbdfc34b32/Certificate.pdf

Computer science certifications from Harvard, Massachusetts Institute of Technology, Stanford

PROFESSIONALEXPERIENCE

Freelancer.com February 2019 – Present

Data Scientist and Software Engineer

Raw data gathering and rigorous raw data cleaning

Add quantifiable value to baseline model via Machine Learning Model implementation

Develop data product software applications for clients

Managing time allocation to meet project deadlines

Technical Tools: Windows, Ubuntu, Linux, Notepad++, Visual Studio Code, R, Vim, RStudio, MySQL, Oracle, ggplot2, highcharter, sunburstR, Leaflet, D3.js, Tableau, Excel, Informatica – Power Center, Talend Open Studio, Python, NetBeans, Selenium IDE, Selenium WebDriver, Harbour, Visual FoxPro, Jupyter Notebook, Spyder, NumPy, Pandas, Scrapy, SQLAlchemy, PostgreSQL, Matplotlib, Seaborn, ggplot, Bokeh, Plotly, Geoplotlib, GeoJSON, GeoPandas, GNU Octave, Feature Engineering, Dimension Reduction, PCA, Feature Selection, Supervised Learning, Unsupervised Learning, Machine Learning, GitHub, Slack, Trello

Thinkful, CA March 2018 – Present

Junior Data Scientist

Stakeholder driven data science projects respective to said client

Raw data gathering and rigorous raw data cleaning

Produce interactive data visualizations

Add quantifiable value to baseline model via Machine Learning Model implementation

Develop data product software applications for clients

Learn industry best practices and standards by collaborating several hours every week with a senior data scientist

Technical Tools: Windows, Ubuntu, Linux, Notepad++, Visual Studio Code, Tableau, Excel, Informatica – Power Center, Talend Open Studio, Python, NetBeans, Selenium IDE, Selenium WebDriver, Harbour, Visual FoxPro, Jupyter Notebook, Spyder, NumPy, Pandas, Scrapy, SQLAlchemy, PostgreSQL, Matplotlib, Seaborn, ggplot, Bokeh, Plotly, Geoplotlib, GeoJSON, GeoPandas, MATLAB, GNU Octave, Feature Engineering, Dimension Reduction, PCA, Feature Selection, Supervised Learning, Unsupervised Learning, Machine Learning, GitHub, Slack, Trello

Qdinka, CA October 2015 – November 2016

Software Application Developer

Engineered the back end of startup company’s website

Utilized substantial amount of object-oriented programming

Technical Tools: Windows, Ubuntu, Linux, Notepad++, Visual Studio Code, PHP, Object oriented programming, NetBeans, Oracle, MySQL, Selenium IDE, Selenium Web Driver, GitHub, Slack, Trello



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