Data Analytics
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Data Analytics

Arch Jignesh Desai
College Station, Texas 77840 | ------------ | ------------ | ------------/in/arch-desai
Seeking Summer 2019 Internship/Co-op Opportunities in the field of Data Analytics
EDUCATION
Texas A&M University College Station, Texas
Master of Science in Industrial and Systems Engineering | GPA: 4.00/4.00 August 2018 - Present
Courses: Engr. Data Analysis, Data Mining, Statistical Computing with R/Python, Probability of Engr. Decisions
• Executive Director of STEM Outreach at INFROMS
• Executive Director of Events at Indian Graduate Student Association
Sardar Vallabhbhai National Institute of Technology Surat, India
Bachelor of Technology in Mechanical Engineering | GPA: 8.76/10.00 July 2013 - July 2017
• Managerial Head of Techno-Cultural Festival-SPARSH 2k16
EXPERIENCE
Dassault Systèmes Pune, India
R&D Associate Engineer (SolidWorks API Development Team) July 2017 - July 2018
• Re-architected front-end SolidWorks Pattern APIs; resulted in increased performance by 35%
• Analyzed data retrieved through feature APIs and proposed solutions considering interpretability, API behavior, accuracy, potential changes and customers benefits which led to reduction in API run-time by 60%
• Optimized data collection methods from APIs and generated reports on a weekly, monthly and quarterly basis
• Developed and maintained KPI dashboards to support decision-making and communicate actionable data
Indian Institute of Technology Delhi, India
Data Analyst Intern May 2016 - July 2016
• Utilized statistical techniques for hypothesis testing to validate data and interpretations
• Carried out Scenarios based what-if analysis and ad hoc reporting of a heat transfer enhancement system and recommended potential changes in the system design; resulted in reduction of operation cost by 15%
PROJECTS
Gross Domestic Product of India (1960-2017)
• Performed PCA on multivariate data for dimension reduction using Scree plots, MDL and Pareto charts
• Carried out inferential analysis of socio-economic factors by various ensemble and regularization methods and selected Random Forest model to predict the GDP of India with 5.7% Test MSE
Real Estate Price Prediction
• Converted data into actionable insights by imputing missing data, label encoding and factorization
• Performed feature engineering, utilized different advanced regression techniques and selected XGBoost model to predict the house price with an accuracy of 93%
Loan Default Prediction
• Investigated data to draw conclusions and implemented a non-linear model using decision trees in Python
• Improved model’s performance by boosting, scaled it with stochastic gradient ascent and evaluated model using precision-recall metrics which yielded 87% prediction accuracy reducing false positives
Implementation of Lean Supply Chain and Production System for Kristen Distribution Company
• Analyzed current states of supplier, process and FGI loops and recommended potential changes which can satisfy the demand of 5 million bottles annually and bring down the cost per case from $14.50 to $11.75
• Implemented ARIMA model for Time Series demand forecasting using seasonal historical data in R
• Developed multivariate hoteling T2 and CUSUM control charts for Quality control
SKILLS
• Technical Skills: Machine Learning, Data Mining, Data Munging, Data Management, Predictive Modelling, Pattern and Trend Identification, Data Imputation, Data Visualization, Statistical Modelling, Troubleshooting
• Software Tools: MySQL, R, Python, C, C++, SAS Enterprise Miner, Apache Hive, Apache Spark, Advanced MS Excel, Tableau, Minitab, Google Analytics, Google AdWords, MS Visual Studio, MS PowerPoint
Work Authorization: Eligible to work in United States for 12 months under CPT