RAKESH HARISH
Data Analytics Analyst | BI/Data Engineer | Business Intelligence
UNC Charlotte CS/Data Science Alum
Intelligence Analyst - BI & Strategic Analytics at Atrium Health
(formerly Carolinas HealthCare System)
Charlotte, NC
Data Analytics Analyst | BI/Data Engineer | Business Intelligence
UNC Charlotte CS/Data Science Alum
Intelligence Analyst - BI & Strategic Analytics at Atrium Health
(formerly Carolinas HealthCare System)
Charlotte, NC
“Vision without execution is hallucination.” ― Thomas A. Edison.
Experienced Data Science & Analytics Practitioner with sound knowledge and experience in different phases of Knowledge Discovery and software development life cycle. Skilled in building supervised and unsupervised models employing Machine Learning techniques.
A Computer Science graduate with specialization in Data Science & Analytics from the University of North Carolina at Charlotte.
I am great with people, passionate about technology, combined with excellent communication skills. I have worked with a few diverse teams. My curious nature restrains me from jumping into conclusions, and I dig deep into the whats and whys of any situation presented to me.
Being a detail oriented with an analytical bent of mind, positive attitude, a team player and proficient at grasping new technical concepts quickly & utilizing it in a productive manner, I aspire to pursue a career in Data Science & Analytics, and contribute immensely to the productivity and profitability of the organization.
Tools of Trade
Programming Languages: Python, R, JavaScript, D3.js, PHP, HTML5, CSS3, SQL
Analytics and Reporting Tools: Hadoop, Spark, AWS, ETL, IBM Cognos BI, Looker, SAS, Tableau, Power BI, Aginity, SAP BO
Databases: Oracle, MySQL, Sybase IQ, MS SQL Server, DB2, Hadoop/Hive, Kognitio, IBM Netezza
Modeling Techniques: Supervised learning (linear regression, logistic regression, decision trees, random forests), Unsupervised learning (kmeans, kmodes, hierarchical clustering), Association rules - Market Basket Analysis, Descriptive and Predictive modeling
Key Strengths
•Analytical Skills • Business Analysis • Data Analytics • Data Mining • Knowledge Discovery • Machine Learning techniques • Requirements Gathering • Customer Interaction •
Problem Solving • People Management • Communication Skills • IT Project Management • Mentoring
• Responsible for ensuring a successful implementation of claims-based market analysis tool suite and integration of analytics with other State and internal market data.
• Assist with data cleaning & modeling, audits and establishment of appropriate business rules to apply to ensure analytic functionality.
• Synthesize disparate, complex datasets to determine strategic growth opportunities, assess provider leakage, and impact of market dynamic changes for the System’s primary and regional markets. Perform necessary statistical analysis leveraging the analytical tools and make decisions based on the results.
• Design and develop dashboards and reporting mechanism to share with service line and senior leadership, to include, but not limited to dashboards in Microsoft Power BI, Tableau and SAS Enterprise Guide.
• Tools & Technologies: Python, R, IBM Netezza, SQL Server, SAP BO, Power BI, Tableau, SAS, McKesson Performance Analytics
• Responsible for implementing ML data models and data visualization dashboards for Retail and Manufacturing clients.
• Analyzed raw data and performed necessary data cleansing, statistical analysis, and provided insights on the data through reporting solutions which included key performance reports for Sales Analysis, Market Penetration and Coupon Promotion Analysis.
• Support advanced analytical and modeling projects, and develop various retail research analytics dashboards.
• Technologies used: R, Python, Tableau, Hadoop, Hive, Kognitio, PostgreSQL, MySQL.
• Responsible for Data mining, cleanup & manipulation.
• Data analysis and technical support, identifying new software/systems to provide service to stakeholders.
• Data Reporting/developing Dashboards, and providing BI solutions to the executive stakeholders.
• Technologies used: MySQL, Oracle, Tableau, MS-Excel, WebFOCUS BI, JavaScript.
• Strong experience in developing and deploying Analytics & Business Intelligence applications.
• Designed, developed, implemented, and maintained Data applications for a heterogeneous clientele distributed over Americas, EMEA and APAC regions.
Technologies used: IBM Cognos, Informatica, Sybase IQ, Hadoop, R and Tableau.
• Requirements gathering, impact analysis, developing BI solutions, Data Marts (OLAP) - implementing & deploying to production,
Data Analysis using R and Python, Dashboard and Reports developing, testing, delivery, support, preparing Technical Document,
UAT of the projects. Web and Sentimental analytics PoC using Python, R and Tableau.
• Involved in Execution and deep root analysis of the application identifying bottlenecks and suggesting improvisation.
• Developing Dashboards and Active reports using R Shiny, Matplotlib, ggplot2, ggviz, Cognos BI and Tableau.
Email: rakeshharish92@gmail.com
Phone: +1 704 904 2392