ANUJ GOLESAR

Boston, MA 857-***-**** adeqkk@r.postjobfree.com www.linkedin.com/in/anujgolesar

IMMEDIATELY AVAILABLE

EDUCATION

Northeastern University, Boston, MA Mar 20

Master of Science in Data Analytics

Relevant Courses: Predictive Analytics, SQL and Data warehousing, Data Mining, Intro to Cloud Computing, Relational Database

University of Pune, India May 18

Bachelor of Engineering in Electronics and Telecommunication

Relevant Courses: Computer Networks (VPC, OSI and TCP/IP, SSH, DNS, IPsec, VPN, Load Balancing)

TECHNICAL SKILLS PORTFOLIO: https://golesara.wixsite.com/anujgolesar

Language Python (Pandas, Keras, Scikit-Learn, Seaborne), R, SQL, NoSQL, JSON, T-SQL

Databases MySQL, MS-SQL server, SNOWFLAKE

BI/ETL Tableau, Power BI, Alteryx, MS-Excel, SSIS, ETL, SSRS, AWS Redshift, SSMS, Looker

Cloud Technologies AWS, Azure, EC2, S3 Bucket, Lambda, HDInsights, Databricks, VPC, IAM, Load Balancing

IDE& Tools Anaconda, Jupyter, KNIME, Azure-VM, SPOTFIRE, MATLAB, Google Data Studio

Certifications Tableau Desktop Specialist, AWS Solution Architect-Associate (Scheduled)

Operating Systems Linux, Windows

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PROFESSIONAL EXPERIENCE

Graduate Research Assistant, Northeastern University, Boston, MA Sept 19 – Apr 20

Analyzed and filtered the US census data having 20 columns and 220k records to build data pipeline in Python stored in S3 bucket.

Created python application to convert CSV file to JSON file and created GUI using tkinter package

Researched on ways to visualize single household element in each of the states, developed excel forms using VBA Macros.

Collected data from OLTP systems and flat files using different tool such as Join, Scatter plot, Find and Replace in Alteryx

Derived insights through OLAP data cubes processing in SSAS and generated reports using SSRS and Looker

Developed visualizations in Tableau to represent the clustering results and patterns in Households

Data Analyst Intern, Softric Solutions, Pune, India Nov 17 – Aug 18

Worked closely with clients to understand the data having information about Graduate Research admission in overseas universities

Cleaned the data in R using dplyr, tidyverse and developed T-SQL, R scripts to analyze the trends in admissions process and propose solutions to optimize it. Analyzed numerical data using pivot tables to get insights.

Designed a Data Warehouse to store data from different sources, performed ETL using SSIS and created BI reports in SSRS

Developed visualizations in Tableau to present analysis and recommend strategies for improvement in consulting students.

Developed easy-to-consume the Power BI dashboards to show key metrics to clients to provide actionable insight on key metrics.

ACADEMIC PROJECTS Repository Link: https://github.com/anujsanjay

Business Intelligence and Data Warehousing - AdventureWorks2017 (Power BI, Tableau, Talend) Dec 19

Designed a Data Warehouse from four different geographic locations and various data sources

Developed strategic BI Dashboards in Microsoft Power BI and Tableau based on product store sales, online sales and rejects analysis

Pipelined large scale data of a business from multiple database sources and integrated into SCD using Talend

SNOWFLAKE Data warehousing – Twitter tweets analysis (Snowflake, Tableau, Python) Mar 20

Developed Data warehouse for twitter data (2.9 million rows) in snowflake, created staging area and used COPY function to load data from local disk into schema., connected DW instance to Tableau for analysis.

Performed feature selection and developed dashboards in Tableau to analyze the sentiments about US President election.

PSYCHSIGNAL analysis using POWER BI (R studio, Power BI) Mar 20

Processed and analyzed Psych signal data using R, converted timestamps into XTS object for financial data analysis

Integrated R scripts with MS-Power BI to develop dashboards to help investors take decisions about stock market investments

Identified new stock sentiment signal (PANIC-EXCITE) for investors to help them anticipate nature of stock signal in near future

AWS -MVP Application for Digital Transformation ( S3,Lambda,DynamoDB) Dec 19

Deployed server-less web application using Lambda, S3 and API Gateway

Developed interactive UI using HTML, CSS to provide easier registration and data upload to users

Achieved efficiency of 30 % in the process by authenticating users using COGNITO and provided digital transformation services

Viacom Demographics Analysis (Excel, Tableau, Python) Nov 19

Analyzed Viacom demographic data to develop strategies to help in launching new products and services for Viacom

Developed ETL scripts using python for feature selection and implemented Random Forest model to predict CPM values

UK Road accident analysis (Power BI, MS-Azure, HD Insights, PySpark) Feb 19

Performed analysis on UK road accident data ( 2.3 M Rows) stored in Azure BLOB Storage and cleaned it in HDInsights using PySpark and extracted data using Spark-SQL on data frame.

Developed dashboards using Power BI to show the correlation between causalities and different parameters

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