SAI PREETHAM BUCHAIAHGARI

Email: ac7kx8@r.postjobfree.com Mobile: 757-***-****

Education & Certifications

●Master of Science in Computer Science from University of Alabama in Huntsville with 3.75/4/0 GPA (Graduating in December 2018)

●Bachelor of Technology from GITAM University, Vizag (India) with 8.5/10 CGPA

●Certification on “MACHINE LEARNING” from Coursera.org

●Certification on “DATA SCIENCE” from Edureka.com

oDecision Trees, Random Forest, Regression, Naïve Bayes, Text Mining, K-means, SVM

●Certification on “Tableau” from Udemy.com

●Certification on “AWS Solutions Architect” from Udemy.com

Technical Skills

Programming languages

C, C++, PL/SQL, Python, R programming, Django,SQL

Operating Systems

Windows, Unix/ Linux

Databases

Oracle SQL,MySQL

Tools

Tableau, Jupyter

Markup Languages

HTML,CSS,XML

Libraries

Numpy,Pandas,Matplotlib,Sci-kit Learn

Experience

Oracle SQL and PLSQL developer Intern, Multiplan, Maryland June 2018-August 2018

Developed SQL code for Cancellation Ccode Assignment using Analytic functions

Performed Unit Testing and Integration Testing on WC Auto Sprinkling project

Added few XML tags in different schemas and deployed them

Worked on UHC OPR Fred call testing project

Projects

1. Comparison and Analysis of PCA on Unsupervised Data sets

Data preprocessing on the data sets i.e., handling missing values and categorical data.

Reduced it into lower dimensions using PCA.

Applied classifiers like K-Means, Hierarchical clustering, etc.,

Analyzed using Scatter plots, Bar plots etc., to determine which classifier works better.

2.Comparison and Analysis of PCA & LDA on Adult, Wine Data sets

Data preprocessing on the data sets i.e., handling missing values and categorical data.

Reduced it into lower dimensions using PCA and LDA Techniques.

Applied classifiers like SVM, Logistic Regression, Random Forest.

Analyzed performance like calculating accuracies, barplots etc., to determine which classifier works better.

3. Web Application for University Fitness Center

Objective: Insert, retrieve and update information about the Students, Instructors and classes conducted in the fitness center, which is handled by two admins who have the privilege of performing above mentioned actions.

Technology: Java, Oracle DB 10g

4. Mini projects on Data Science (Python) Objective: Analyzed and Calculated accuracies of various data sets like Restaurant reviews, movie prediction, salaries of adults, customers’ data in malls

Technology & Patterns: Python, Support Vector Machines, Decision Tree, Random Forest, Linear Regression

5.Natural Language Processing(Python)

Analyzed Restaurant Reviews Data set which predicted whether the user review is positive or negative. Done data preprocessing which basically means removing the unnecessary words, verbs etc., and then determining bag of words approach.

6.Money Ball Concept though Machine Learning

Objective: Recruiting Oakland A's undervalued players after losing three of their stars

Technology: R programming language

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