Shrirang Kulkarni

Data Analyst

Aligned Automation•  July 2019 - Present

 Solving business problems using Machine Learning as well as Deep Learning Algorithms (Classification, Regression, etc.)  Consulted clients (domestic and international) on process mining and root cause analysis techniques  Text classification using NLP and Deep Learning (LSTM) to reduce the manual efforts for material master data and commodity classification  Travel spend analytics to find leakages  Database enrichment for root cause analysis  Leading a team of Data Scientists and Analysts across multiple projects

Software Engineer

Freelancer•  February 2017 - Present

 SQL + Python for ETL processing and data engineering for procurement department of manufacturing company  Image recognition (OpenCV and CNN) for detecting objects around a rail track  Exploratory Data Analysis using Python for retail-based company  Building recommendation engines for Manufacturing company using Machine Learning  Transformation, profiling, benchmarking, root cause analysis, dashboard building for Process Mining project under Celonis

Game Tester

Ubisoft•  August 2016 - February 2017

 Part of the Testing team to test newly designed games to identify bugs to improve the quality of the new games  Designed new, improved methods for bug identification  Responsible for isolating the identified bugs- i.e. to find steps to avoid the bugs being reproduced  Compiling the details of the bugs identified in a database with a precise description of the encountered issues  Follow-up of the versions from scratch to end of project

Software Engineer

ECS Technologies •  June 2015 - June 2016

 Lead a team that developed a website and an ERP using JAVA and PHP  Followed a rigorous testing by designing proper test-cases for the same  Participated in design requirement calls with the client  Responsible for meeting the deadlines set in the project plan

Coventry University

Data Science and Computational Intelligence, MS•  September 2017 - November 2018

ANALYSING CYBER SECURITY IN AUTOMOTIVE Description: The main objective of this project was to identify the vulnerabilities of the CAN bus and in-vehicle networks and build a safe environment (IDS) for the automotive as well as designing a model for future implementations. Technologies and Tools: Python, CANoe, TensorFlow, Deep Learning, ISO 27001, ISO 26262 (reference). Responsibilities Studied and identified all the possible vulnerabilities of the CAN bus, ECU and the in-vehicle networks Worked on the Error Handling mechanism of the CAN bus and ECUs Planned a simulation using CANoe and generated data based on above mentioned point Implemented a classification algorithm using Deep Learning to identify malicious package (error message) transmitted by the adversary model Designed a Time Series based approach using the data generated by a car

University of Pune, Pune

Computer Science, BS•  August 2012 - June 2015

Project: Implementation of Computerized Sports Management System Dec 2014 – Mar 2015 Description: The idea behind this project was to replace the manual and paper-based form filling system of the college. The original system was not user friendly and was very difficult to maintain. Platforms: Windows-7, Ubuntu(Linux); Technologies and Tools: Java, JavaScript, MYSQL Responsibilities: • Study the current paper-based form and identify the Mandatory and Non-Mandatory fields to optimize the fields required to be filled • Final Design of the online form for the computer-based system • Coding of the final application and testing the different functionalities • Debugging the testing results to build a fool proof system Key Modules: JAVA, C, C++, Python, Software Engineering, Databases