****, ********** ******* ***** ******* SRITHAR 704-***-****

Apt B, Charlotte, NC 28262 https://tinyurl.com/sriharisrithar adbo7e@r.postjobfree.com Skilled and driven Engineer pursuing Masters in Information Technology at UNC Charlotte seeking a role in Software/Data/ Business Analytics. Worked in real world Data Analytics projects with three years of experience as Application Development Analyst for Business Intelligence Team at Accenture. Interacted and obtained business needs with clients dealing Insurance policies in the United States.

EDUCATION

Master of Science in Information Technology, University Of North Carolina at Charlotte Sept 2018 – Present Current GPA 3.9 /4.0

SKILLS

Programming Languages: C, C#, R, Python, HTML, CSS, XML, JavaScript Developer Tools : SSIS, SSRS, Teradata, Hadoop, QlikView, Microsoft Office, NodeJs, Tableau, PowerBI, Salesforce . Databases: SQL, OracleDB, Cassandra, MySQL, SyBase, MongoDB, Oracle llg, 12cR1,12cR2, BigQuery, Google Cloud. Operating Systems: Linux, Windows

Other skills: Data Analysis, Data Warehouse, Machine Learning, Problem solving, BI and Data Analytics, Requirement Analysis, Solution Assessment and Validation,Software Development Life Cycle, Six Sigma DMAIC testing method PROFESSIONAL EXPERIENCE

Application Development Analyst, Accenture Oct 2016 - July 2018 Operational and Business Intelligence Team, Bangalore, India

Responsible for developing technical design documents, handling requests, and building dashboards using QlikView.

Collaborated with the Leading Insurance client consistently to gather requirements.

Lead and automated the existing manual work using SQL and SSIS thereby increasing overall efficiency of process flow by 75% and helped the team move from custom build scripts to automated builds.

Optimized SQL queries on large-scale data in RDBMS and increased the efficiency of report generation by 85%

Earned employee recognition and appreciation for implementing new process using SQL and Hadoop. Associate Software Engineer, Accenture June 2015 - Oct 2016 Operational and Business Intelligence Team, Bangalore, India

Investigated and analysed root causes of technical issues, data and performance bottlenecks.

Developed Tableau reports on various insurance usage across the country to provide data driven recommendation.

Designed, managed and developed plans and efforts required for change requests and reporting KPIs.

Developed various analytical solutions during the launch of many reports for one of the clients using SSAS.

Completed training programs on ‘Insurance Fundamentals’ and ‘Client Data Protection’ sessions.

Implemented packages with Avanade ETL framework, and logged the progress in the server, using Autosys. Teaching Assistant for Design and Implementation of Object Oriented Systems, UNCC. Jan 2019 – Present

Assisting the professor with classroom instruction, exams, record keeping, and other miscellaneous projects. ACADEMIC PROJECTS

Database Design –MS SQL SERVER, MONGO DB

• Created a database for Video rental store on MS SQL. This includes defining the schema, creating tables along with creating various stored procedures, triggers and functions to retrieve the data based on day-to-day activities of the Video rental store.

• Designed a database for a mobile swap application using Mongo DB. Integrated it with front-end designed using NODE JS.

Fragile States Index (FSI) Classification -Python, Lisp Miner, WEKA

• Analyzed and cleaned the data using python libraries -pandas, numpy.

• Generated the classification rules using algorithms like random forest, naïve Bayes, Random tree to classify a country as stable, alert, warning, and sustainability with respect to FSI. The correct classified instance is above 70% in each case.

• Generated action rules that suggest what changes in value of classification features are needed to lower FSI. Google Play store App Analysis –Python – sklearn, Plotly libraries, Advanced Excel Analytics

• Cleaned and pre-processed the data using various libraries of XL-Miner. Visualized the data using python library-Plotly

• Identified the most and least popular apps using K-Means clustering analysis

• Identified the topmost influencing factors for installation using Regression Tree.R2 value for validation data is 0.536 in analysis

Telling story with Data using Data Visualization in Tableau –Chicago Crime &Flight Delay Analysis

• Created dashboard to present the Chicago crime scene from 2001-2018. Key points include: Identified the geographical areas that are highly prone to dangerous crimes by using the Map feature of tableau.

• Sankey diagram is created to display the percentage of domestic and non-domestic crimes classification

• Created a Map that displays the states that experience high delay in flight commute from a selected state. This involved heavy data modelling and processing on Tableau.

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