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Data Analyst - Global Market, Intern Resume

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Boston, MA

TECHNICAL SKILLS:

Analytics: Predictive Modelling, Text Analytics, Regression, Clustering, NLP, Neural Net, Random Forests, Deep Learning

Big Data: Hortonworks Apache Ambari (Pig, Hive, Spark, Hadoop, Map Reduce), TensorFlow, Cloud (AWS, MS Azure)

Data Integration / Warehousing: ETL (Extract - Transform-Load) Framework - Talend Studio, SSIS

Databases: MS SQL Server (TSQL), Postgres SQL, Oracle (PL/SQL), MySQL

Data Visualization: Tableau, Qlikview, Power BI

Statistical Analysis: R (dplyr, tidyr, ggplot, rvest), Python (Numpy, Pandas, Scikit-Learn, Plotly, Cufflinks, Matplotlib, Seaborn), Jupyter Notebook

PROFESSIONAL EXPERIENCE:

Confidential, Boston, MA

Data Analyst - Global Market, Intern

Responsibilities:

  • Conducted analysis of product offerings for business development to evaluate progress against established goals
  • Documented strategic objective and rationale of project including relevant NBPRA’s and regulatory filings as required
  • Coordinated meetings with relevant stakeholders, documenting minutes, approach and action items requiring follow up
  • Developed financial proforma for project and spend vs plan reports, assisted in business requirements for IT development
  • Created visualization dashboard on Tableau for budget and resource allocation of workforce for onboarding of new hires
  • Improved scope of business management by changing project management reporting to MS Project from MS Excel
  • Generate periodic status updates to reflect implementation progress, project risks and issues requiring escalation
  • Analysed SSGM business documents to manage clients for applying regulatory changes, margin requirements, fiduciary rules

Confidential

Data Analyst

Responsibilities:

  • In a client facing role, analysed network coverage data to identify the areas of weak signals using regression model against call volume and signal strengths, hence improving the deliverable turnaround by 8% and improved SLA’s and network coverage
  • Developed visualization reports on Tableau to correlate site serving areas and standard issues to analyse network availability
  • Performed descriptive analytics on call data to determine KPI’s using reports created in Tableau, with a focus on action-ability
  • Conducted cluster analysis on customers complaining about the same issue indicating that the issue was prevalent in the network
  • Performed Data Usage trending and analytics by Consumer Application Categories, Genre, Top Applications and Hourly Usage
  • Worked on data validation and data quality issues by writing complex SQL queries and tested them
  • Gathered requirement from department and mapped the data to the warehouse using custom SQL scripts and schema design
  • Worked closely with business stakeholders to understand, document and analyze network source systems
  • Trained 10 new employees through on job training, mentoring and team building, reducing their onboarding time by 30%
  • Recognized with ‘Power Award’ for implementing a query-based tool, resulting in increased scope and reduced alarm flow
  • Scraped 450,000 tweets and financial data using web REST API’s from stock discussing twitter profiles and finance portfolios
  • Created predictive model in R studio and evaluated results using SVM and Naïve Bayes, achieving 55% prediction accuracy
  • Used python for linear and logistic regression, clustering (K-means & PAM) algorithm to obtain analysis and data insights
  • Performed classification of data to draw conclusions and fit of the various attributes for predictive modelling
  • Built a recommendation framework using python, ambari hortonworks to suggest movies to the users based on ratings
  • Used pandas, matrix pivoting, hive query to build and check model on content-based user behaviour to recommend a movie
  • Optimized mappings, data integration in ETL (Extract-Transform-Load) tools, source to target mappings, datatype translation
  • Designed ETL packages dealing with SQL Server and Flat Files sources; performed different transformations using SSIS
  • Implemented SCDs to maintain history of records and currency rate transactions from the data lake for migration and reporting

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