ABHISHEK REDDY KONDAPALLI

**** *’Farrell Street, Apt. 807, San Francisco, CA 94115, Phone: 480-***-****, Email: acq2q6@r.postjobfree.com

EDUCATION

Arizona State University, Tempe, AZ MS in Industrial Engineering May 2015 GPA 3.0

Osmania University, Hyderabad, India BE in Mechanical Engineering May 2013 GPA 3.4

Core Competencies: Statistical Data Analysis, Data Mining, Process Improvement, Applied Stochastic Research, Project Management, Monte Carlo Simulation, Mathematical Modeling, Predictive Modeling, Model Building, Regression Analysis, Time Series Forecasting, Risk Analysis, Quantitative Modeling, Marketing Analysis, Consumer Behavior, Decision Analysis

EXPERIENCE

Data Analyst, CBIT Career Center, India Aug 2012 – May 2013

Classified, maintained data of students, clients and carried out data analysis in support of management requests

Analyzed raw data from recruitment, student academic history and developed analytical databases, comprehensive data reports

Interpreted results using a variety of techniques ranging from simple data aggregation via statistical analysis to data mining

Applied analytic methods to construct forecasts in order to understand and predict future demands of clients

Collaborated with the research teams to identify analytical requirements resulting in a placement rate of 94%

ACADEMIC PROJECTS

Statistical Analysis and Predictive Modeling of basketball league data, ASU Aug 2014 – Dec 2014

Performed statistical data analysis on basketball league data of 3 years by specifying and validating the model through JMP

Identified relationship between data parameters by conducting data mining and root-cause analysis

Validated the model, achieved R-Squared (Prediction) equal to 85.21% and predicted winning % with minimum error of 0.7453%

Market Analysis and Forecasting of future loan rates, ASU Aug 2014 – Dec 2014

Analyzed and modeled time centered data over 42 years obtained from Federal Reserve Economic Data using Exponential Smoothing and ARIMA models in Minitab

Evaluated residual plots and prediction profilers to find that ARIMA(0,1,0) fitted the model with minimal forecast error

Statistical Data Mining of credit card application data, ASU Aug 2014 – Dec 2014

Analyzed and assessed the quality of credit card applications over a 6 month period and implemented up-sampling technique (SMOTE) to solve the class imbalance problem

Classified the dataset using algorithms like Decision Trees, Bayesian Networks, Adaboost with Random Forest & Cluster analysis

Tested the new data set using the best classifier, Adaboost and found the overall error rate to be 1.15%

Monte Carlo Simulation of Rockland Steel Company, ASU Jan 2014 – May 2014

Suggested changes to the inventory of Rockland Steel by analyzing their production system

Decreased lead time by 6% by performing statistical analysis of the results in JMP

Enhanced the productivity of coils by 10% and reduced inventory holding costs by 15% after applying suggested changes

Factorial Analysis on the performance of Li-Ion Battery, ASU Aug 2013 – Dec 2013

Designed a comprehensive model to conduct exploratory analysis for identifying factors affecting the performance of the battery

Validated the experiment through a statistical approach ANOVA(Analysis of Variance) using JMP

Compared results and achieved the best combination of factors for optimal performance of Li-Ion Batteries

User Search Analysis Tool, ASU Aug 2013 – Dec 2013

Performed ETL functions on real time data that spanned over 15000 accidents using VBA Excel and Macros.

Developed a GUI portal that streamlined reporting capabilities, thereby improving end user operability

Modeling consumer choice behavior, ASU Aug 2013 – Dec 2013

Researched and analyzed various factors affecting the consumer behavior and documented the findings

Studied the consumer decision making models developed through time to help understand customer preferences

TECHNICAL SKILLS

Programming Languages : HTML, XML, C, AMPL, MySQL, Python

Utilities : AutoCAD, SolidWorks, CATIA, Pro E, Excel VBA, MS Access, MS Project

Data Analysis : JMP, Minitab, R Programming, WEKA, SAS

LEADERSIPS & ACHIEVEMENTS

Student Chapter - HSCO: Administrator, Led a team of 50 to implement creative lessons plans for the underprivileged

Society of Automotive Engineers: Assembly Head, Led a team of 25 in the design and fabrication of All Terrain Vehicle for SAE

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