GOWTHAM MALLIKARJUNA
ac1e6b@r.postjobfree.com linkedin.com/in/gowtham-m 918-***-****
3+ years of experience in Relational Databases, Business Analyst and Object Oriented Programming Proficient in creating User-friendly dashboards and reports understandable by non-technical audience Proven ability to collect, organize, analyze and extract useful insights from data using quantitative data mining techniques EDUCATION
Master’s in Management Information Systems - Oklahoma State University May 2017 TECHNICAL SKILLS
Data analytics Python, Tableau, R, SAS, MS Excel Pivot table, Vlookup, power pivot, Macros, VBA, SSRS, Teradata Programming & database PL/SQL, T-SQL, HTML, Oracle 11g, SQL Server, MySQL, PostgreSQL, MS Access, Mongo DB, Shell Scripting Project management & OS Microsoft Office Suite, Visio, Agile and Waterfall SDLC Models, Windows, Linux Certifications SAS Certified Base Programmer for SAS 9, SAS Statistical Business Analysis: Regression and Modeling Portfolio public.tableau.com/profile/gowtham.mallikarjuna#!/vizhome/Profile_10/Portfolio PROFESSIONAL EXPERIENCE
Information Systems Intern Oklahoma State University Data Analysis and Reporting Oct 2016 – May 2017
Responsible for database management, data quality assurance and provide data-driven business intelligence solutions
Improved ease of data access by acquiring, cleaning and structuring data from multiple disparate sources
Saved 60 hours of weekly reporting and ETL tasks by automation using python scripting
Generated KPIs for actionable business improvement recommendations using tableau dashboards
Analyzed Email Campaign Performance indicators like click rates and response rates to measure project success
Built classification algorithms to predict likelihood of recipient responding to campaigning mail
Evaluated new initiatives by interacting with business stakeholders and documented process improvements
Created SQL Queries to extract data from SQL Server Database for ad hoc request from stakeholders Software Engineer Analyst Accenture Database Development and Data analysis Oct 2012 - July 2015
Implemented operational database for CRM applications on multiple telecom projects
Created over 60 SQL Queries, Stored Procedures, Views, Triggers for data retrieval and database validation
Achieved 20% decrease in application response time by SQL query tuning and code optimization
Resolved 70% of database related issues during post production support with aggressive service-level agreements
Prepared the data for analysis by inspecting, cleansing, transforming and evaluated the data anomalies and outliers
Generated reports for ad hoc requests using SAS BASE programming / SAS Macros
Assisted in marketing analytics like customer churn modeling, building product recommendation engine and A/B testing.
Experienced with Data flow diagrams, use cases, Database normalizations and entity relationship modeling
Served as liaison between various IT teams to analyze business requirements and provide technical solutions
Managed code deployment and version control in Git repository for change requests and bug fixes
Implemented backend logic in PL SQL to parse XML service request received from external systems
Mentored 4 of new resources in the project and provided technical and functional Knowledge Transfer
Performed extensive work for validation and correction of data using advanced Excel concepts like Pivot tables, Macros and VBA ACADEMIC PROJECTS
Summarization of Amazon Product Reviews Tools: Python, Mongo DB
Built text mining algorithm to generate concise summary of large data sets of amazon product reviews using NLP
Performed sentiment analysis to segregate positive and negative review points
Extracted key words and phrases by n-gram analysis using python to reduce 70% of decision time Instacart Market Basket Analysis Tools: Python, R
Performed Market Basket Analysis using Instacart Open Source Data to understand customer purchase behavior
Built exploratory graphs using python Matplotlib and association rules using Apriori algorithms in R Statistical package
Developed product recommendation algorithm using collaborative filtering to suggest new products for existing customers. Analysis of Energy Consumption Patterns and production by solar panels Tools: Tableau, SQL, R
Performed statistical analysis using ANOVA to find any significant inconsistencies in electricity production in solar panels
Located clusters of inactive meters and high consumption connections by data visualization
Assessed and reported key influencing factors for energy consumption for different substations and connection types WEB LINKS
github.com/gowtham91m public.tableau.com/profile/gowtham.mallikarjuna#!/ AWARDS AND RECOGNIZATIOSN
Received Rising Star award for my outstanding contribution in data engineering at Accenture