Data Scientist - Intern Resume - Hire IT People

SUMMARY:

Solid Data Science background with data engineering skill sets applied in industry
Machine Learning (regression, classification, clustering), ANOVA analysis, A/B testing, dimension reduction (PCA, feature selection), Time Series, Inferential Statistics, Prescriptive Analytics
Model Selection (random forests, neural networks, support vector machines, gradient boosting, bagging, generalized linear models (GLMs), ensemble methods)

TECHNICAL SKILLS:

Business Intelligence Skills: ETL (Datastage, Informatica, MSBI (SSIS, SSAS, SSRS), Matlab, Pentaho, Knime, Ad Initio) Database (Teradata, SQL Server, Oracle, Mongo DB, T - SQL, PL/SQL, NoSQL) Reporting (Tableau, Power BI, Hyperion) Project Management (Agile, SDLC, SCRUM, Kanban, Waterfall, CRISP-DM, TAM) Documentation (Requirement Analysis, Test-Case Documents, Implementation Plan, PEP, RTT, RCA)

Skills: R-Programming (e1071, dplyr, ggplot2, shiny, reshape2), Python (numpy, pandas, scikit-learn,tkinter), scala, Java, C, C++Shell Scripting, crontab, Erwin, Microsoft Office(advance), SAS E-Miner, SAS Base,H20.ai

Big Data Skills: Hadoop, Spark, HDFS, Map Reduce, Impala, Pig, Hive, AWS

PROFESSIONAL EXPERIENCE:

Data Scientist - Intern

Confidential

Responsibilities:

Predict and Rank suitable candidates for the Job from the data available using Natural Language Processing and other Machine Learning (ML) Techniques
Methods/Techniques: Term Frequency, Topic Modeling, Latent Semantic Analysis, Lesk Algorithm, Text Pre-Processing, Document Parsing

Research Assistant

Confidential

Responsibilities:

Data and Text Mining on Social Media using Python and R-Programming
Natural Language Processing using Latent semantic analysis(LSA) on social media posts and user comments/reviews
Marketing and Content Analysis on Social Media posts and their impact on customer segmentation

Business Analyst

Confidential

Responsibilities:

Data and Text Mining of competitor data from publicly available data sources and subscriptions
Design and Implementation of new framework (ETL jobs, scripting) to process the competitor data
Data Modelling, Mapping and Definition using Teradata and ERwin for the new framework
Design and Implementation of Complex scoring model for rating individual semiconductor parts

EIM (Enterprise Information Management) Operations DataStage(ETL)

Confidential

Responsibilities:

Research and Creation of Technical Trade off report on Tableau, Hyperion and Ab Initio to meet the project requirements for Freescale Semiconductors
Redevelopment and Migration of Complex Dashboards from Hyperion to Tableau
Managed Enterprise Information Management operations and support activities
ETL development and Data Warehouse Integration using Unix system

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