Keywords

Data Scientist Resume


Big Data Analytics Resume

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Data Analytics Resume

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Resume

 

Resume

 

Resume

 
 
 

TITLES and POSITIONS

Analytics, Analytics Manager, Analytics Lead, Analytics Associate, Director of Analytics, Director of Analytics & Risk, VP of Analytics, Heads of Analytics, VP of Analytics, Vice President of Analytics, VP Analytics, Vice President Analytics
Big Data Analytics Architect
Big Data Architect
Big Data Consultant
Big Data Engineer, Senior Big Data Engineer, Principle Big Data Engineer
Big-Data Gladiators
Big Data Hadoop Consultant
Big Data NoSQL Manager
Big Data Software Engineer,
Business Analytics Specialist
Business Analyst, Senior Business Analyst, Sr. Business Analyst
Business Development Manager, Director of Business Development, VP Business Development, Marketing Manager, Marketing Specialist
Business Intelligence Analyst, BI Analyst
Business Intelligence Engineer, BI Engineer
Business Intelligence Solutions Architect, BI Solutions Architect
Business Intelligence Specialist, BI Specialist
Chief Analytics Officer CAO
Chief Data Scientist CDO, Chief Scientist
Chief Marketing Officer
Chief Research Officer CRO
Chief Technical Officer CTO
Cloud Specialists
Data, VP Data,
Data Analyst
Data Change agent
Data Czar
Data Engineer
Data Management
Data Mining, Data Mining Engineering Manager,
Data Plumbing
Data Science, Data Science Intern
Data Scientist, Senior Data Scientist, Sr. Data Scientist, Chief Data Scientist, Director Data Science, VP of Data Science, Data Science Lead, Data Science & Machine, Learning team, Sr. Director Data Science & Analytics,
Data Steward
Data Visualizer
Data Virtualization, Data Visualization Developer
Decision Scientist
Director of Analytics, Director Analytics, Dir. of Analytics
Enterprise Data Scientist
Fuctional Data Scientist
Hadoop Engineer
Head Analytics
Health Data Scientist
Managing Partner
Machine Learning Engineer
Machine Learning Scientist
Principal Data Scientist
Principal Scientist
Quantitative Analysis, Director of Quantitative Analysis
Research, Director of Research, VP Research
Statistician
Web Analytics

ANALYTIC TITLES

Business Intelligence
Call Center Operations
Competitive Intelligence
Consumer Insights
Credit Risk/Fraud
Financial Management
Database Marketing
Data Mining
Date Warehousing
Digital Analytics
Direct Marketing
eCommerce Marketing
Integrated Marketing
Market Research
Marketing
Marketing Mix Modeling
Information Systems
Online Marketing
Operations Research
Product Management
Project Management
Sales Analytics
Statistical Modeling
Web Analytics

EDUCATION

BSc in Computer Science
BSc in Linguistics
BSc in Mathematics
B.Sc in Physics
BSc in Statistics
M.Sc in exact science
M.Sc in computer science
M.Sc in statistics
MSc
Ph.D
PhD
PhD in computer science

COMPANY | EMPLOYER | VENDORS

SAS, MicroStrategy, Pentaho, R, Phython, Wolfram, Platfora, Tableau,
Hortonworks, Casandra, Datameer,

LANGUAGES

C#
C++
Java
Javascript
Python
R Lanugage
R programming language
Ruby
UNIX
Linux environment (R or Pandas)

DATABASES

Angular
Cassandra
Express
Hadoop
Hive
MongoDB
Node.js
NoSQL
MySQL
PostgreSQL
Redis
RedisDB
Relational Database

DATA WAREHOUSING

Amazon Web Services AWS
RedShift
cloud computing
SoftLayer (IBM)
Data Scientist, Data Sleuth, Data Heretic, data synthesis, discovery technology, Data sprawl, Data Warehousing, Data Mining, Data Visualization, ,
Hadoop, HDFS, Pig, Hive, Cloudera eco system, Sqoop, Oozie, MapReduce, R and HBase, Cloudera Certified Developer for Apache Hadoop (CCDH), data warehousing, data migration, ETL, Netezza, SQL Server, MySQL, MongoDB, Oracle, MySQL, Sybase, DB2, Postgres, Teradata, data modeling, normalization, dimensional modeling, star schemas, programming stored procedures, performance tuning,
Data Gospel, Data Backbone,

Data is a plural of datum, which is originally a Latin noun meaning “something given.”

DATA/ANALYTICS VERBAGE

contextual analytics, Organization design, Segmenting and positioning, Environmental scanning, Market research, SWOT analysis, Six Forces Model, PESTLE analysis, Gap analysis, Market research, Strategic management, Evaluation methods, master data management (MDM), data assets, Data Utility Evaluation (DUE), desperate data sets, data ecosystem,

KEYWORD PHRASES and SKILLS

Project Management, General Business skills, business function expertise, industry-specific expertise, communication, statistics, numbers, math, stats, statistics, CS theory, machine learning, custom algorithms, data skills, advanced analytics, forecast, robotics, sales, marketing, social media, SEO,
predictive analytics, predictive modeling, Realtime Analytics, machine learning,
Business analytics drives smarter decisions, RStudio
Stealth intelligence
hired data scientists and analysts with a mix of computer science
statistical analysis
mathematics
economics and operations research skills.
Predictive Analytics
marketing analytics marketing strategy
portfolio analytics fraud detection, underwriting, risk management
location analytics shipping map business route
in-memory analytics
algorithmic core
predictive engines
customer engagement
decision support systems
processing algorithms
data driven tools
machine learning algorithms
stack includes Hadoop, MapReduce, Scala, Scalding, Kafka, Storm
develop the algorithms
big data analysis
brilliant problem solver
passion for data
research team
develop algorithms in a big data environment
create real impact with data
Design and develop data driven solutions
data mining solutions
real-time data
iterate and improve based on experiments
Analyze the performance
prove its value
Hands-on implementation
Development experience
analytic skills
Natural Language Processing (NLP)
algorithmic concepts.
Hadoop concepts
MapReduce concepts
leading start up company
BigData technologies
big data technologies
Statistcal analysis
Information Extraction
Solr system
Lucene system
Social media savvy
advanced analytic capabilities
top researchers
data science technologies
managing research projects from ideation
production-grade solutions
mapping out main use cases
technological exploration
hands-on machine learning algorithm development
implementing in big data environments
work with an international team of researchers
lead research projects until implementation
customer facing proof-of-concepts
Statistical modeling in big data environments and technologies
Knowledge of networking and network security
Windows networking and windows security model, Active Directory
Autodidact
Critical thinker
natural tinkerer
security products such as firewalls, IDS, DLP, SIEM, and forensic tools
data in decision making
provide vision
analytic strategies
analytic solutions
analyzing source system data and data flows
structured data
unstructured data
Watson
Self-starter, autodidactic
big technology fan
Reinforcement Learning, Bandit algorithms, General online learning methods, Linear/Logistic Regression, Multivariate Regression, Decision Trees, Bayesian Methods, Statistical methods
Agile software development
Proficient in R or other statistical software package
Build methodology and tools to support customer data analysis
techniques for data classification, model validation and online learning techniques
develop and implement algorithms which seamlessly analyze petabytes of data and generate insights
analyze large amount of data collected by an organization to generate insights, by correlating data pieces together.
billions of transactions and petabytes of data
predictive analysis engine
flexible analytic approach that allows for producing results at varying levels of precision
Showcase of ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information
Experience with calculating products LTV, Churn, Manage A/B and multivariate testing
BigInsights technology, including BigSheets and AQL
clearly and concisely explain complex problems and technologies to non-expert and executive audiences
able to transfer solutions to business stakeholders for successful adoption and value realization
Analytic tools such as SAS, R, Tableau, and Microstrategy
Hadoop frameworks such as Hive, Sqoop, and Pig
Relational Databases such as Teradata, Vertica, Oracle, SQL Server, and DB2
knowledge of statistical and predictive modeling concepts and disciplines
manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
advanced analytics across the global enterprise
determine data requirements, provide structure for raw data, extract and manipulate data, create new variables, conduct analysis, and determine conclusions in a variety of core business functions such as portfolio planning, product development, material forecasting, feature profit analysis and supply chain management
provide insight into leading analytic practices and methods, design and lead iterative development and learning cycles, and ultimately produce new and creative analytic solutions that will become part of the operating fabric of the global enterprise.
information retrieval
Strong business orientation
Strong business understanding
passion to solve real business needs
problem solving skills
creative thinker
Background in IT security
Statistics
Statistical Modelling
Data Analysis
Predictive Modeling
Text Mining
Quant
Operations Research
Silicon Valley