PRASHANTH KUMAR KOVURI
DATA ANALYST/SCIENTIST/ENGINEER
E-mail: **********.******@*****.*** Mobile: 940-***-****
A self-motivated person who believes in growth and is very open to new ideas. I am looking for the place where my skill and expertise is being fully utilized and prove to be an asset to accomplish business mission of an organization. My technical background has made me appreciative of the technology components of the software industry and has given me experience in a broad range of issues related to the use of the computer science technology in the industry.
SUMMARY
Excellent exposure in Data Analysis, Data Mining, Data Cleansing, Business Analytics and Predictive Analytics.
Good exposure in working with large datasets of structured and unstructured data, Data Acquisition, Data Validation, Predictive Modeling, Data Modeling, Statistical Modeling, Web scraping, and Data Visualization.
Adept in statistical programming in Python and SAS. Expertise with python libraries including Numpy, Pandas, Scipy, and Scikit-learn.
Expertise in using Matplotlib and Seaborn in python for visualization and Pandas in python for performing exploratory data analysis.
Excellent exposure to Data visualization with Tableau, Power BI, RapidMiner, IBM SPSS and Matplotlib.
Expertise in creating Tableau Dashboards and stories for Data Visualization.
Proficient in using MySQL, Microsoft SQL and Oracle to extract data using different types of queries.
Good knowledge in Time-Series Analysis and Forecasting using ARIMA, Multiplicative & Additive Decomposition, Regression, Exponential smoothing to find out seasonal/cyclical patterns in in the dataset.
Knowledge in creating various artifacts for projects which includes specification documents, data mapping and data analysis documents.
Good experience in software development life cycle and software testing life cycle using testing methodologies.
SKILLS:
Programming Languages: Python, Core java, C#, Visual Basic and SQL
Database: MySQL, Microsoft SQL Server, Oracle
Analytic Tools: Tableau, Power BI, IBM SPSS, Matplotlib, Rapid Miner, SAS, MS-Excel.
Statistical Test: Hypothesis Testing, Anova Tests, Chi-Square fit test, Regression.
Education Qualification:
Pursuing Master’s in Data Science from University of North Texas, USA.
Experience:
PRESTOMALL MALAYSIA, KUALA LUMPUR
Data Analyst
Responsibilities:
Worked on data cleaning and reshaping the datasets and generating data analysis reports.
Involved extensively in Data extraction, Transformation, Loading, Analysis for E-commerce company
Develop and maintain data models, reporting systems, data management systems, dashboards.
Gathered, analyzed, and translated business requirements to communicate with other departments to analyze client business requirements and access available data
Generated daily, weekly, monthly and yearly wise reports using SQL.
Optimized SQL queries to perform data extraction and merging from SQL server databases.
Extracting data from staging tables to partitioned tables with incremental load
Involved in writing complex SQL queries, Stored Procedures, Triggers, Views, Joins, DDL, DML and User Defined functions to implement the business logics and created clustered and non-clustered indexes.
Developed SQL Scripts to insert/Update and Delete data in MS SQL database tables.
Analyzed and implemented user requirements/business needs as new enhanced functionality.
Academic Projects:
Finding the most valuable plays in the National Football League (NFL) using SAS Enterprise Miner.
Consumer Financial Complaints Analysis using Rapid Miner.
Bank Marketing Deposit Forecast using Logistic Regression in SAS.
Analysis of H-1B Visa Petitions using Tableau visualization.
Designed and Developed Database for Blood Bank Management system using MySQL.
Mask Usage and coronavirus impact in United States Analysis using IBM SPSS.
Research Analysis on Cyber Security Homomorphic Encryption.