Nonu Singh / 703-732-4463 / nonuatamd@gmail.com

ABOUT ME

  • Skilled Data Scientist with 7 years of experience in extraction, wrangling, analysis and reporting of data to derive business decisions
  • Proficient in Statistics, Design of Experiment, Six Sigma, predictive analytics, ANOVA, Time Series Analysis.
  • Well versed with current open source programming(Python, R), machine learning, A/B Testing and a strong sense of conceptual and creative problem solving in relation to Big data Analytics

EDUCATION

  • Master of Science in Microelectronics Engineering, Rochester Institute of Technology, September’07 to September’09, GPA 3.7
  • Master of Science, in Electrical Engineering, Pennsylvania State University, September’06 to August‘07, Transferred to RIT
  • Bachelor of Technology, in Electronics and Communications, Guru Gobind Singh Indraprastha University, May’02 to May’06, GPA 3.6
  • Data Analyst Nanodegree, Udacity, Jan’17 to Nov’17

TECHNICAL SKILLS

  • Programming Languages: Open Source: Python, R, XML, Linux, Github, Git
  • Data Analysis (BI) tools: JMP, Spotfire, Qlikview, Tableau
  • Database: Hadoop & MapReduce, MongoDB, SQL
  • Machine Learning: Naive Bayes, SVM, Decision trees, K-Means, Clustering

PROFESSIONAL EXPERIENCE

Senior Engineer, SAMSUNG AUSTIN SEMICONDUCTOR- June’17 to Nov’17

  • Product Operations engineer supporting development and manufacturing of new product Introduction
  • Project Manager for Predictive analytics and data driven solutions for managing factory bottlenecks, WIP and Capacity
  • Standardized and reduced wait times at measurement steps to achieve world class DPML and yield on NPI

Senior Engineer, GLOBALFOUNDRIES- June’15 to Apr’17

  • Designed statistical model using Regression analysis of highly dimensional and high volume manufacturing tool monitoring sensors and critical production line measurements to meet customer specification of product yield
  • Developed and implemented neighborhood algorithm in R for identifying the failing neighbors around dice in a wafer to understand yield fallouts based on location or signature of defects
  • Developed report in Qlikview, SQL and Python to monitor Smart vs Manual Sampling Rates at customer critical measurement steps
  • Instrumental in deploying usage meter based dispatch algorithm on furnace tools to stagger tool down time resulting in 18% increase in tool availability and $250K in quarterly cost savings
  • Conducted Bootcamp sessions on writing custom functions, data analysis and visualization using Python and R programming
  • Represented department during tier1 customer audits to show compiled compliance reports of previously failing parameters

Senior Engineer, GLOBALFOUNDRIES- June’12 to October’13

  • Led continuous improvement projects to streamline workflows for 24x7 Manufacturing plant for defect detection efficiency and defect monitoring. Projects included but not limited to reducing baseline systematic defects, identifying major yield hitter defects and sourcing which process step or tool is causing them, optimizing inspection recipes to improve signal to noise ratio.
  • Designed, executed and analyzed split analysis studies(DOE) for defect roll offs  and process excursions like center die fallout, edge flaking issue,  systematic CMP yield fallout based on slurry/pad life and communicated the findings to higher management
  • Conducted training sessions on how to use in house data analysis tools for deriving conclusions using ANOVA, Time Series analysis etc, merging data from multiple sources and create reporting dashboards

Engineer, MICRON TECHNOLOGIES- March’10 to June’12

  • Project lead for bringing Defect Tracking System’s time to notify metric down to ~150 minutes for faster notification of potential excursions to process areas
  • Led NAND baseline defect reduction project on Cu sputter flakes seen at metal interconnect levels with estimated yield loss of 15% at probe and suggested process enhancement using edge bevel etch process

Intern, ADVANCED MICRO DEVICES- June’08 to May’09

  • Performed failure analysis using complex functional, Scan, Bist, I/O and power test methods for analyzing device performance
  • Collaborated with process technology development and product teams for debugging cross-functional issues (Test, Design, Manufacturing) using design of experiment

DATA SCIENCE PROJECTS

Exploratory Data Analysis

  • Performed Exploratory Data Analysis on Peer to Peer Loan in RStudio and R-Markdown
  • Found correlations and trends in the key factors like Credit Score, Rating, Loan Terms, Amount, delinquencies, lender yield and developed a linear model for predicting factors

Wrangling of Open Street Map

  • Text Parsing and extraction of open street map data for extracting and cleaning street names and postal codes of Austin , TX Map region
  • converted the data into JSON format and loaded the cleaned data in MongoDB for running analysis queries and derive deductions

Titanic Data Analysis

  • Demonstrated the use of Numpy and Pandas packages in Python for Data Analysis on Titanic dataset
  • Found key factors which affected passenger survival rate like Class, Age, Sex

Data Visualization with Tableau

  • Applied Design Principles to effectively demonstrate flight delay causes with Tableau

Supervised Machine Learning

  • Designed machine learning algorithm to predict employees suspected of fraud during enron financial scandal
  • Used Principal Component Analysis and Naive Bayes classifier to increase precision and recall scores