Yashwanth Kumar Pamidimukkala

**** ****** **., ********, ** 43201 614-***-**** ac2rws@r.postjobfree.com www.linkedin.com/in/yashpam

Available From: Dec 2017

EDUCATION

Ohio State University, Industrial and Systems Engineering, Columbus, OH Sept 2016 – Present Candidate for a Master of Science in Operations Research GPA: 3.5 Expected Graduation: Dec 2017 Coursework: Linear Programming, Regression Analysis, Data Mining, Stochastic Process and O.R methods. GITAM University, Visakhapatnam, India April 2014

Bachelor of Technology in Mechanical Engineering GPA: 3.85 TECHNICAL KNOWLEDGE

Languages: Python (pandas, numpy, scikit-learn, scipy, statsmodels, Boto), R (caret, glmnet, survival) Visualization: Matplotlib, Seaborn, ggplot2.

Database: MySQL

Data Mining: Univariate/Multivariate regression, Lasso, Ridge, Decision trees, Ensemble methods, ANOVA, Supervised learning, Unsupervised learning, Principal component analysis, Factor analysis, Bootstrap sampling methods, KMeans, Bayesian learning, Survival analysis, Feature selection and Linear programming.

WORK EXPERIENCE

U-Sky, Vijayawada, India July 2017 - Present

Data Consultant

• Developing a classification model using methods like ensemble, support vector machines to predict the likelihood of students that will drop out based on the features such as grades, school location, family income etc. Predicting the likelihood will help U-Sky consult the state government to focus on improving the facilities and conditions leading to students’ dropout.

Big Lots Inc., Columbus, OH May 2017 – Aug 2017

SAP Analyst Intern

• Developed reports in SAP ECC system using SQL queries and ABAP programming language as per the sprint.

• Worked on Agile-Scrum methodology to ensure delivery of high quality work with biweekly iteration G.E., Hyderabad, India June 2014 – June 2016

Engineer

• Executed retrofit projects and collected all relevant data of various parameters of a gas turbine engine. Performed statistical analysis on the data to identify the factors affecting the performance of gas turbine at various load applied on the turbine.

RELEVANT PROJECTS

Income class prediction, Ohio State University, Columbus, OH Aug 2017 – Sep 2017

• Developed a classification machine learning model that predicted income class of employees based on attributes such as education, age, demographics and working hours per week. Predicting income class helped to aggressively classify income for prospective employees. Identifying Similar Records, Ohio State University, Columbus, OH Aug 2017 – Sep 2017

• Implemented a proximity measure algorithm that identifies the most similar employee based on his/her attributes and compare their salaries. Identifying the most similar employees helped the to correct the high variation in salaries of similar employees.

Passenger Survival Prediction: Kaggle Competition Feb 2017 – Mar 2017

• Developed an ensemble model that predicted which passengers are likely to survive in the titanic sinking disaster. Performing exploratory data analysis and feature engineering on the data helped to develop a model with an accuracy of 82%.

Stacked Regression to Predict House Prices: Kaggle Competition May 2017 – Sep 2017

• Predict sales prices of residential home in Ames and Iowa by implementing stacked generalization of regression.

• Performed stacking by averaging base models and adding a meta model, the latter returned an RMSLE of 0.1166.

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