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Click here or scroll down to respond to this candidateCandidate's Name EMAIL AVAILABLE | PHONE NUMBER AVAILABLE
H-1B | Secaucus, NJ | Open to relocation LINKEDIN LINK AVAILABLE | github.com/krn-jn
WORK EXPERIENCE 4+ YEARS EDUCATION, PROJECTS & PAPERS
Nov 2021 Nov 2023, Billerica, MA 2017 2018
Senior Data Engineer, Anokiwave Inc. (Qorvo*) MS, Data Science (EE)
Analyses & data processes for semiconductor chips, end-to-end. GPA 3.6 / 4.0
Enabled 50% sequential YoY growth in volume of chip testing over 4 years, across University of Southern California (USC), LA
45 products, supporting $250M revenue.
Drove operational insights by designing, implementing and maintaining analyses, Courses: Intro to Programming Systems
reports, dashboards, databases and ETL in Python, PostgreSQL & Spot re. Design, Database Systems, Algorithms,
Foundations of AI, Machine Learning,
Created automated daily status-reports for COO & VP, and trends & drill-down
Statistics, Probability, Linear Algebra
reports to triage issues for teams using TIBCO Spot re, SQL & Python.
Predicting Tattoo Prices: Identi ed time as the
Developed dashboard for tracking KPIs on a daily, weekly, and quarterly basis.
most signi cant feature. Built Fuzzy ASAM,
Increased pro t & e ciency against business constraints. NN, CNN and Regression models.
Prevented $4M downstream costs on 500k chips through root-cause analysis of an Probability of Returning Trader Joe s Shopping
ambiguous problem and early intervention; analyzed data using SQL & Spot re. Carts: Identi ed Wheel-malfunction as the
Reduced 6% extraneous costs against $1.3M revenue by enabling correlation of best predictor. Used Logistic Regression.
production & upstream factory data across 50 parameters; using Python & Spot re. Predicting eCommerce Purchases: Identi ed
Reduced test-time by 3% by analyzing component fail-rates of 11 products, 100k PageValues as the most important feature.
parts each. Used Random Forest, KNN & Logistic
Increased yield of 100k chips by 1 percentage point by simulating the most feasible Regression.
& acceptable chip performance.
Accelerated analysis processes while saving $8k by implementing custom Normal 2012 2016
Probability Plots & GR&R in TIBCO Spot re to replace Minitab. BTech, Electronics Engineering
Enabled data-driven decisions at scale through automation & training. GPA 8.77 / 10
Conducted complex analyses across multiple data sources, collaborating closely Amity University, Noida, India
with Data Scientist & Test Engineers, to drive quantitative & qualitative decisions.
Coded a Graphical User Interface (GUI) in PyQt for non-technical users so they Research paper: Design and implementation
could slice & fetch data themselves without knowledge of SQL. of 64 bit VLIW microprocessor on 20nm and
Reduced complexity and improved exibility of schema while preserving business- 28nm technologies
critical functionality by storing unstructured meta-data in JSONb objects. Research paper: Proposed high speed 64-bit
Led identi cation and implementation of required process & tool changes and VLIW microprocessor with modi ed adders
trained associated stakeholders.
Code leveraged pandas, SQL, NumPy, psycopg2, matplotlib, PyQt & TortoiseSVN.
Strengthened data governance by in uencing cross-functional TECHNICAL SKILLS & CERTIFICATIONS
leadership.
Domain Areas & Skills
Discovered & eliminated a chance of total wipeout of 5 billion data points by
overhauling database access in data warehouse, thereby increasing security. Data Visualization, Warehousing & Modeling,
ETL, Statistics, AI/ML Algorithms, A/B Testing
Convinced cross-functional partners for standardization of related-database elds.
Programming Languages
Nov 2019 Oct 2021, Billerica, MA
Python (pandas, NumPy, PyQt, matplotlib,
Data Analytics Engineer, Anokiwave Inc. (Qorvo*) psycopg2, scikit-learn, PyTorch), SQL (No/
Went beyond my responsibilities to help other teams meet customer deadlines Graph), R, Java, C++
through data analysis.
Designed advanced-analysis templates in TIBCO Spot re for iterative simulation & Tools & Platforms
tweaking of performance-levels of chips. TIBCO Spot re, TortoiseSVN, Jira, Con uence,
Overhauled existing GUI applications for ease-of-use and consistent experience. AWS S3, RDS, SNS, SQS, Lambda, Glue
(PySpark), EMR (Hadoop), DynamoDB, ECS,
May 2019 Oct 2019, Billerica, MA Kinesis Data Stream, EC2, CloudWatch, Athena,
IAM, QuickSight, GitHub
Data Analytics Intern, Anokiwave Inc. (Qorvo*)
Optimized analytical processes and deepened my understanding of the business.
Sept 2018 Mar 2019, Manhattan Beach, CA
Data Science Intern, Touchstone Analytics
Recommended intervention for high Lifetime Value customers at risk of churn using
Logistic Regression and Feature Engineering.
Created data-leveraging strategy for a packaging supplier marketplace.
*Anokiwave Inc. was acquired by Qorvo.
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