AKSHAY P. KAMBLE

**** ******** *****, *******, **** 45103 / 806-***-****/ acsl64@r.postjobfree.com SUMMARY

Adaptable Data Analyst adept at interpreting and analyzing data in a fast-paced environment. Proficient in all aspects of data analysis. Experienced with detailed document and report preparation and complex internal and external data analysis responsibilities. Proficient in prioritizing and completing tasks in a timely manner, yet flexible to multitask when necessary. Enjoys learning new programs and processes. A team player who is attentive to detail with excellent oral and written communication skills and committed to quality and excellence. EDUCATION

Master of Science in Management Information Systems December 2014 Texas Tech University, Lubbock, TX

Research Assistant – Rawls College of Business.

Development Scholarship Recipient at Rawls College of Business. Bachelor of Technology in Information Technology May 2010 Veermata Jijabai Technological Institute, Mumbai, India RELEVANT COURSEWORK

Data Management & Business Intelligence, Data And Text Mining, Systems Analysis and Design, Managing Organization Behavior, Project Management, Statistical Concepts for Business, Database Concepts, Business Analytics. EMPLOYMENT HISTORY

NemoIT Solutions Jersey City, New Jersey

Data Analyst (Big Data) April 2015 – September 2015

Responsible for writing Sqoop Scripts to retrieve data from RDBS and load into Hadoop Cluster.

Performed SQL Queries to extract data from different proprietary databases for data analysis purposes.

Wrote MapReduce programs for purpose of data analysis.

Responsible for cluster maintenance using Cloudera Manager.

Involved in writing pig Script to perform the analysis of the log files.

Worked closely with the team to optimize analytics and application running in the Hadoop environment.

Involved in development of cutting-edge solutions, mentoring new project members to enable them to perform effectively.

Texas Tech University Lubbock, Texas

Data Analyst May 2014 – Dec 2014

Responsible for creating datasets from huge raw data for PhD student for their market research

Collaborated with data analyst at Supermarkets to get more insight about the raw data.

Used SAS to read the raw data sets and screen them for outliers or other anomalies.

Merged the data sets together into a particular format.

Divided the merged file into smaller data files corresponding to business units and time frames.

Trained and lead a team of 3 junior data analyst and successfully delegated responsibilities to them. ACADEMIC PROJECTS UNDERTAKEN

Donor Prediction using SAS Enterprise Miner: Created a predictive model in SAS enterprise miner to predict the potential donors from the result of a previous postcards mail solicitation for donations. Determined which of the individuals in the company’s database mailing database have characteristics similar to those of most profitable donors.

Database Design and Development: Was involved in a project where I had to prepare a physical database for a construction company. Gathered the business requirement from the case study provided by professor and translated them with into logical data model which included identifying data objects, attributes, and creating E-R diagram. Created relational data model and normalized the relations in 3NF and created a physical database with procedures and views and triggers.

TECHNICAL SKILLS

Business Analysis: SAS Enterprise Miner, SAS Guide, ETL Techniques, Microsoft Excel. Programming Languages: Java, SQL.

Database: SQL Server, MySQL.

Operating Systems: Windows, Linux, Unix.

Tools: SQL Server Management Studio, VMware player, Microsoft SQL server 2008 R2 Business Intelligence, Tableau. Big Data Technologies: MapReduce Programming, Pig, Hive, Hbase, Sqoop, Flume.