Ragahava Prasad Sridar is a business analytics professional with a Masters in Business Analytics from The University of Texas at Dallas. He has over 3 years of experience in data analysis, machine learning, and database management. His technical skills include Python, R, SQL, Tableau, and Hadoop. He is pursuing a career in data science and analytics and is looking for internship or full-time opportunities.
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Expert Business Analytics Professional with MBA and Experience in R, Python, SQL, Tableau
1. RAGHAVA PRASAD SRIDAR
+1(469)-439-9290
rsitprasad001@gmail.com
https://www.linkedin.com/in/raghava-prasad-s/
EDUCATION
The University of Texas at Dallas, Dec 2021
Masters in Business Analytics 3.78 CGPA
SCSVMV University, Jun 2017
BE in Computer Science and Engineering 3.1 CGPA
CERTIFICATIONS & TECHNICAL SKILLS
Databases - SQL, Cassandra QL, MongoDB, Neo4j, Cypher, PostgreSQL, MySQL, Oracle DB, Amazon Redshift
Programming languages - R, Python, Stata, C++, Java
Visualization / Intelligence tools - Tableau, Rapid Miner
ETL tool - Pentaho
Big Data Suite - Hadoop Map Reduce, Apache Spark , Apache Splunk, Gephi, SparkSQL, Redis
Other tools - Microsoft SQL Server, MS Excel, R Studio, Microsoft Visual Studio Code, Tableau Desktop,
Microsoft Office, Microsoft Azure, Amazon SageMaker, Amazon GluonCV
Certifications - Big Data Specialization, Data Visualization with Python, Neural Networks and Deep Learning, EMC2 Cloud Architecture
COURSEWORK
Applied Econometrics and Time Series Analysis - STATA, Economic theory, Regression Analysis, Empirically
estimate interpret commonly used economic techniques to analyze cross-sectional, time series and panel data sets
Statistics and Business Analytics - Statistical and Probabilistic Methods, Decision Analysis, Confidence Intervals and
Hypothesis Testing
Business Analytics with R - R programming, Statistical Analysis using R Libraries, Machine Learning using R
BUSINESS EXPERIENCE
Programmer Analyst, Cognizant Technology Solutions Nov 2017- Sep2019
● Worked for the Benchmarking and Project Tracking Team. Core responsibilities included analyzing and reporting pitfalls that diminished
the quality of an application measured using several parameters.
● Improved the performance score of an Internal Application by 6% through analyzing and Reporting the Root Cause for performance
deficit.
● Performed Risk Prediction for a Critical Application with Microsoft Azure Machine learning Tool and R Language that helped in preventing
the potential projects from falling under Risk category beforehand.
● Designed and Developed a database fully from scratch, and performed other data transformation activities for a wide array of US clients
Solutions Engineer Intern, Nokia Solutions and Networks Aug 2017- Nov 2017
● Worked for the Innovation Management team to study potential applications of augmented reality with Microsoft Holo-Lens that can be
applied within the industry for training entry level assemblers.
● Developed a web application working for the Internal application development team using C#.Net and SQL.
ACADEMIC PROJECTS
● Time Series Analysis on Traffic Deaths across the states of US, researching on how drinking laws affect traffic deaths using STATA.
● Face Recognition using Python, OpenCV . Detected faces and facial properties , trained the model and built a face identification
system that identifies faces.
● Object Detection System using Amazon SageMaker - Built an end to end ML model using Images of bees as training data, with
customized hyper parameters to achieve accurate Object detection.
● Catch the Pink Flamingo - An Imaginary Game by Euglence Inc, as a part of Big Data Specialization - Performed
Analysis using Apache Splunk, and built Classifiers using KNIME and queried the data extensively using Cypher
using Neo4j Graph Database.
● Twitter Sentiment Analysis (R, Weka, CARET) Performed Sentiment Analysis of Twitter feeds to gauge the reaction of fans in cricket
matches in Indian Premier League (a leading cricket tournament).
ADDITIONAL INFORMATION
Organizations - Member, Data Science Club (Jan 2020- Present) Author, Medium.com (Apr 2020- present)
Eligibility - Eligible to work in the U.S for internships and for full-time employment for up to 36 months (STEM Only)