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Summer Intern Resume

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NyC

SUMMARY

  • Data enthusiast with 2+ years of experience, passionate about turning data into meaningful insights.
  • Worked on large data sets, both structured and unstructured, to discover useful data using tools like R, Python and developed data visualizations using Tableau, QlikView.
  • 1+ years of experience using Natural Language Processing with Python / R.
  • Good understanding of Machine Learning models & techniques.
  • Skilled in machine learning algorithms: support vector machine, decision tree, random forest, artificial neural network, boosting, K - NN classification, K-means clustering and Naive Bayesian classifier.
  • Proficient in Statistics and Calculus.
  • Solid understanding of Data Mining tools, techniques and algorithms.
  • Working knowledge of graph databases like ggplot2.
  • Proficient in databases like MySQL, HiveQL and SQLite.
  • Strong working knowledge of IBM Blue mix, WEKA and SPSS.
  • Fluid understanding of AWS Elastic Search and Kibana.

TECHNICAL SKILLS

Programming Languages: R, Python, C/C++, Java, JavaScript, HTML/CSS, PHP

Databases: MySQL, HiveQL, SQLite, MS Access

Packages & Tools: Tableau, Qlikview, SPSS, WEKA, IBM Blue mix, Google Analytics, Google AdWords, MS Excel (Pivot tables, Macros), MS Visio

Operating Systems: Windows, Linux, Mac OS

PROFESSIONAL EXPERIENCE

Confidential, NYC

Summer Intern

Responsibilities:

  • Responsible for improving website traffic using SEO & SEM tools like Google AdWords & SquareSpace Analytics.
  • Performed Sentiment Analysis on teh agency’s social media handles like Instagram and Twitter to gain insights from public opinion on their posts and updates.
  • Improved Site traffic by increasing teh number of visits to teh site by 58% and number of clicks by 70%.
  • Provided useful insights based on analytics results to restructure teh agency website.

Confidential

HRIS Analyst

Responsibilities:

  • Responsible for HRIS Application development, in specific, performing Requirements Analysis, Data gathering dat involves collecting preliminary data (primary and secondary) from various HR functional modules and consolidating them to maintain a database.
  • Performed Data Cleansing & handled huge volumes of Structured & Unstructured data like employee data, PMS (Performance Management System), Compensation & Benefits to perform preliminary analysis of critical components to be added to teh HRIS Application.
  • Used SPSS & WEKA to perform Correlation, Regression & Clustering methods on preliminary data to identify useful variables and their potential relationships for further analysis.
  • Coordinated Programmes and gatheird feedback from employees to utilize teh data in measuring TEMPeffectiveness using WEKA.
  • Implemented and maintained HR Dashboard using Tableau to track department performance based on various standard HR metrics and parameters.

Confidential

Summer Intern

Responsibilities:

  • Studied overall business operations and gained in-depth understanding of Marketing & Sales department where me performed needs analysis.
  • Performed an analysis of employee and developmental needs using SPSS from data extracted from their Performance Management System.
  • Performed an employee survey in order to evaluate teh current & Development efficiency and provided suggestions and recommendations based on survey outcomes.

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