Data Analytics Intern Resume

PROFESSIONAL PROFILE:

3 years of professional experience in big data analytics with strong interest in Data Science & Machine learning
Implemented machine learning pipeline from exploratory data analysis, feature engineering, model building, performance evaluation, and testing with large data set.
Data extracting/preprocessing, features selection, optimization of classification algorithms by tuning parameters
Built a near real time discovery platform to analyze sentiment from tweets using big data analytics framework.
It can continuously measure and compare sentiments of given input terms.
Developed algorithm to analyze the structure of a drug trafficking organization by calculating different Centrality Measures using Visualization of plotly/R shiny
RFM (regency, frequency, monetary) analysis to find out best customer group for targeted marketing
Built storylines and dashboards with the KPI’s to identify strong customer relations using Tableau
Market segmentation (hierarchical clustering) based upon customer data (needs/demographic)
Built sample big data warehouse architecture using 80% Hadoop system.
Detailed comparison over of data warehouse system expansion using traditional methods Vs data warehouse system expansion using Hadoop (hosted on cloud using Microsoft Azure and AWS)

TECHNICAL SKILLS:

Programming Languages: Python, R, Java, SQL/PLSQL, SAS, STATA, Matlab, Linux/Unix scripting, C, C++,HTML,CSS, JSON, JavaScript

Big data: Spark,PySpark,Hadoop, NoSQL, MapReduce, Sqoop, Hive, Flume, Solr, Nifi

Library: Scikit Learn, Pandas, Numpy, Keras, Tensorflow, MLlib, Pandas, NLTK, flask

Cloud technologies: Amazon web services (AWS)

Database: Oracle 11g/12g, MySQL, Postgres, Mongo DB

Data Analytics Tools: Tableau, SAS, Google Analytics, IBM SPSS, SSIS

WORK EXPERIENCE:

Data Analytics Intern

Confidential

Responsibilities:

Developed a web based analytics/visualization tool using R shiny/ggplot2/plotly for architectural acoustic data
Modified existing application to add statistical analytics/visualization of business data using python flask

Project Engineer

Confidential

Responsibilities:

Built automated data pipelines to import Asset/Inventory data by developing Java/SQL/PLSQL,ETL jobs to collect, centralized large - scale data from sources like third party vendors and database application to facilitate data integration for IBM Maximo asset management system(ERP) for clients like SFR(France) and Cisco(USA)
Built automated reporting solutions using BIRT and IBM Cognos Reporting tools