Tharun Reddy Pakala
•972-***-**** • www.linkedin.com/in/tharun-reddy-pakala
• ac7jix@r.postjobfree.com • www.github.com/TharunReddyPakala
EDUCATION AND HONORS
The University of Texas at Dallas, Dallas, TX Aug 2018
Master of Science, Business Analytics GPA 3.92
Scholar with High Distinction • Dean's Excellence scholarship (Twice, New and Continuing)
Amrita Vishwa Vidyapeetham, Bengaluru, India May 2014
Bachelor of Technology, Electronics and Communication Engineering GPA 3.80
CERTIFICATIONS
DellEMC Certified Data Science Associate(EMCDSA) Mar 2018
Google Analytics Aug 2017
SKILLS
Technologies & Database: SQL, R, Python, SAS, STATA, Excel, Google Analytics, HBase, MySQL, Oracle
Data Management: ETL, Exploratory Data Analysis, Business Intelligence, Optimization, Data Mining, Predictive Modelling, Statistical Analysis, Visualization, Testing, Process Automation, Reporting
Visualization & Reporting: Tableau, SSRS, QlikView, R-ggplot2, D3.js, MS Excel, Yellowfin
Big Data: Hadoop, Map Reduce, Sqoop, Hive, Pig, Flume, Apache Spark (Scala), Spark SQL, NoSQL
Libraries/ Tools: pandas, pydata, numpy, caret, dplyr, ggplot2, H20, scikit-learn, NLTK, SpaCy
EXPERIENCE
The University of Texas at Dallas, Graduate Teaching Assistant in Data Science, Dallas, TX Jan 2018 –Aug 2018
Researching and on verge of publishing paper on integrating SQL with R to implement machine learning models (R scripts) within SQL server as T-SQL scripts
Guided and Lectured 320 students for 7 courses which include Database Foundations, Data Management, Foundations of Business Intelligence and Business Analytics concepts using SQL, Tableau, R and Python
GGK Technologies Private Limited, Data Analyst, Hyderabad, India Feb 2015 – Apr 2016
Elicited requirements and designed interactive dashboards in Tableau to evaluate performance and support data-driven decision making, identify anomalies; saved 20% of time invested in report generation
Provided insights to solve business problems by ad hoc and analytical reports using SQL and Tableau
Examined data, identified outliers, inconsistencies and manipulated data to ensure data quality and integration
Made effective presentations to key stakeholders to provide actionable data-driven insights
Made end-to-end analysis and built machine learning models by fine-tuning model parameters which also involves dimensionality reduction and class-imbalance problems to predict customer behavior with 3% improved accuracy
GGK Technologies Private Limited, Business Intelligence Engineer, Hyderabad, India Aug 2014 – Feb 2015
Implemented enhancements to transition into new federal policies by rapidly modifying SQL scripts and stored procedures; maintained 100% client uptime
Slashed manual effort from 4 Hours to 10 Mins by implementing complex SSIS packages to ETL data
ACADEMIC PROJECTS
Data Management – MS Access: Developed a relational database and reports based on the designed ERD model by identifying the various entities of a business using MS Access
Social Media Sentiment Analysis: Performed sentiment analysis on Twitter hashtags data in command-line Linux environment using sqoop and hive to understand sentiments for 2016 election campaign in USA
Fetal Cardiotocography: Used unsupervised machine learning techniques such as K-means Clustering in R to discover hidden patterns in fetal CTG and integrated with Tableau to visualize insights
Wine Quality Prediction: Implemented Logistic Regression, SVM, ANN, feature selection and PCA algorithms to predict wine quality at 91.4% accuracy
AFFILIATIONS
Beta Gamma Sigma – An International Business Honor Society Aug 2018 – Present