Anirudha Nayak

ANIRUDHA N NAYAK Seeking a full-time Data Scientist role at your firm [-¯ linkedin.com/in/anirudha-nayak/ Ó - ½ Bangalore,Karnataka ‡ github.com/anirudha-nayak/Projects WORK EXPERIENCE ACHIEVEMENTS Firmware Engineer - eHDD R&D • Part of the Team (Group of 5) which won the 1st place in the eHDD FW Hackacthon Western Digital Corporation (12 months) Nov 2018 – Nov 2019 ½ Bangalore • Academic Excellence Award for year 2015-16 and 2016-17 • Participated in Firmware development (in embedded C++14/17) on multiple environments for eHDD (Enterprise Hard Disk Drive) controller. • Secured 2nd Rank in the ECE Department (in batch of 240 students) • Performed Failure Analysis for debugging issues on Firmware which are reported during Validation and while assessing On-Field Failed Drives. • Winners of ’MegaMind’ (a general-quizing event) • Worked on the module responsible for handling the dereferencing of data from DRAM to Physical Disk (during Bootup,Data Transfer and Reset) • Runners up at Manipal Sudoku Championship • Took up additonal responsibilites of the ’Repository Gatekeeper’. This invloves managing the health of a repository for a FW development codebase and ensure the timed release of local and customer revisions of the Firmware. • Certified SAFe (Scaled Agile Framework for Enterprises 4.0) for Teams Practitioner and was an active participant in various SCRUM ceremonies. . • Runners up at ’Microlite’ (a Microcontroller based event by IIT-D) CERTIFICATIONS Data Science • Machine Learning by Stanford University eHDD Embedded C++ SAS/SATA SAFe Tcl Scripting DHSMR/iPMR/SMR Debugging • Inferential Statistical Analysis with Python by University of Michigan Engineering Intern - eSSD R&D Western Digital Corporation Jan 2018 – June 2018 (6 months) ½ Bangalore • Building a Fault Injection Framework for the SPDK-NVMF library so as to increase the code coverage and sanitize the stack before using it on top of the eSSDs (Enterprise Solid State Drives) drivers to enhance the performance. • The Framework is able to inject 33 faults in several layers of the stack, across 7 major components with provisions of 3 different features on configuration for different faults. • The framework being developed covers various code paths, which can be further extended as and when new features are added to the SPDK-NVMF stack, thus making the framework versatile and feasible. eSSD Embedded C RPC SPDK NVMF Code Coverage • Fitting Statistical Model to Data by University of Michigan • Time Series Analysis in Python by 365DataScience • Python for Finance: Investment Fundamentals and Data Analytics by Udemy • The Complete SQL Bootcamp 2020 by Udemy Embedded Systems • Embedded System Design by Embedded Technosolutions • Advanced Raspberry Pi + IOT application by Embedded Technosolution • Differential Amplifiers in Depth by IIT Mandi QEEE program EDUCATION CORE SKILLS Manipal Institute of Technology Electronics and Communication Engineering Aug 2014 - July 2018 • Understanding and Visualizing Data with Python by University of Michigan CGPA - 9.5/10 ½ Manipal,Karnataka Machine Learning Statistics Time Series Analysis Data Modelling Exploratory Data Analysis Python PACE Junior Science College Score: 87.38% 12th Standard (MSBSHSE) June 2012 – June 2014 ½ Nerul, Mumbai C++ SQL Public Speaking Embedded C Embedded Systems Portfolio Management DAV Public School Score : 98% 10th Standard July 2011 – June 2012 ½ Panvel, Mumbai DS and Algorithm