Python, R, SQL, Optimization, Data Analytics

SAICHANDAR REDDY NAINI

Email: ******@******.*** Phone: +1-765-***-**** Address: 400 S Grant Street, West Lafayette, Indiana EDUCATION

Purdue University, West Lafayette, Indiana (Jan 2020 – Dec 2021) Master of Science in Industrial Engineering GPA: 3.68/4.00 Jawaharlal Nehru Technological University, Hyderabad, India (Aug 2015 – May 2019) Bachelor of Technology in Mechanical Engineering GPA: 9.43/10.00 EXPERIENCE

CLAN Labs Graduate Student Researcher (Mar 2021 - )

• Working on building an R package to learn chain graphs

• Implementing novel algorithms developed by a post-doctorial researcher

• Bnlean, pcalg packages are used

• Tools: R, C++

Dauch Centre for Management of Manufacturing Enterprises Research Assistant (Oct 2020 - )

• Built a minimum cost network flow problem using linear programming

• The model built is used to fill the slack capacity of suppliers in West Lafayette region

• The model is expected to process $1M in transactions when deployed.

• Python pulp library along with a database of suppliers is used to build the model in AWS EC2 instance.

• Currently working on testing the scalability of the model Tools: Python, SQL

Purdue University (Lafayette Police Department) Student Consultant (Jun 2020 – Aug 2020)

• Mapped the complete process flow of LPD using Business Process Model and Notation (BPMN)

• Cleaned the data provided by LPD and performed exploratory analysis using Jupyter Notebook

• Analysed the time spent at each step of the call using LPD database, Python Pandas library and Excel

• Identified a discrepancy which saves LPD up to 1131 paid hours of cost PROJECTS

Sourcing and Procurement Project (Sept 2020 – Oct 2020)

• Participated in a reverse auction assuming the role of a supplier

• Performed retrospective analysis on the buyer demand data

• Placed 3rd at the end of two-round bidding in 12 groups Analysis of Factors Influencing crime rate (Feb 2020 – Apr 2020)

• Built a Regression model to fit the crime data of 50 U.S cities using R

• Effect of each factor on the response, overall crime rate was analysed

• Performed Cross validation to pick the best possible model based on RMSE, outlier analysis using cook’s distance. Design of Experiment for Manufacturing a Cricket (sport) ball (Feb 2020 – Apr 2020)

• Designed 2

factorial design with three factors, two replicates and response as quality.

• Human operator is used as a block and the effects of block was analysed. SKILLS

Advanced: Python, R, Pandas, Numpy, ggplot2, Data Analysis Intermediate: C++, Minitab, Ansys Fluent, Microsoft Excel, SQL, Machine Learning ACHIEVEMENTS

Academic Excellence Award (Apr 2019)

Awarded for excellent Academic performance through-out 4-year period of Undergraduate Degree. Graduate Aptitude Test in Engineering (Feb 2019)

Secured 98.7 percentile among 167,376 Engineers in GATE — National level exam in Engineering conducted by the Indian Institute of Technology Madras.

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