Ve d a n t i K u l k a r n i
Data Scientist
A passionate Data scientist and Developer, working in IoT domain since more than 5+ years. Helped
mechanical shop floors to know their data / processes better and help them achieve productive automation.
Hands on experience with analytics platforms like Azure, AWS and programming languages such as R/
Python/Spark for statistical live dashboards/Predictive models, AngularJS/ Angular (Latest Version) for web
application user interface, Node.js for server programming, MongoDB/SQLServer/PostgreSQL as database
structure. Looking forward to utilising this end-to-end experience to make a productive career as data
scientist.
EDUCATION
Master's Degree (MS) in Data Science
Liverpool John Moores University
03/2019 – 03/2020
Thesis - Hierarchical sales prediction on retail store data set
Post-Graduation Diploma in Data Analytics
International Institute of Information Technology Bangalore
10/2017 – 09/2018
B.E. Computer Science
MGM’s Jawaharlal Nehru Engineering College
06/2014 – 06/2017
WORK EXPERIENCE
Data Scientist
Avery Dennison - RBIS
05/2021 – present Bengaluru, Karnataka, India
Product Engineer
Almawiz Technologies
12/2020 – 05/2021 Bengaluru, Karnataka, India
Programmer Analyst
Expert Global Solutions PVT. LTD.
10/2017 – 12/2020 Aurangabad, Maharashtra, India
TECHNICAL SKILLS
vr13kulkarni@gmail.com
+91 - 8698961305
in www.linkedin.com/in/vedantikulkarni
Software
Development
SDLC life cycle, Node.js,
Angular 8/9/10, RXJS,
React.js, Android, Java, Agile
methodology
Data
Science
R, R Shiny dashboards, Python,
Tableau, Exploratory Data Analytics,
Inferential statistics, Hypothesis Testing,
Predictive analytics, Machine learning,
deep learning, natural language
processing, Hadoop, Big Data - Apache
Spark, Power BI
Cloud
platforms
AWS Apache Spark, AWS S3,
Azure Databricks, Azure Data
Factory, Azure VM, Azure
WebApps
Databases
MS SQL, PostgreSQL, Cassandra,
MongoDB, Azure CosmosDB

SOFT SKILLS
Leadership, creativity, work ethic, problem-solving, attention to details, time management, communication,
team work, adaptability, Interpersonal skills
PROJECTS
Automated Production Scheduling (05/2021 – Current)
−
Lead data science team to stage the data on-prem data sources —> Azure DataLake containers —> Delta tables
(Bronze, silver and gold layer) —> Azure SQL server. Key role in developing Mixed Integer Programming
algorithm which creates Job - Machine matrix and schedules the jobs on the machines by selecting the target
quantities of production orders. The data staging and the MIP algorithm is built using Azure Databricks Spark
capabilities and clusters.
CPS (01/2019 – 12/2020)
−
IoT Web application connecting shop machines to Azure cloud. The web application contains live dashboard to
display different types of OEE (Overall Equipment Efficiency) and Statistical analytics of the machines. Statistical
process control tool is used for statistical analytics. The real-time machine data is collected in Azure CosmosDB.
The data is transported from shop floor sensors to database using Azure Edge and Azure IoT Hub.
MachineTalk (11/2017 – 02/2019)
−
IoT product with Data Acquisition hardware solutions and dashboards. IoT data is collected from shop floor
machines and stored in a self-designed cloud. Cassandra is used to store machine data and PostgreSQL is used to
store relational administrative data. Live shop floor dashboards are designed in React.js to display simple machine
parameters. Cloud dashboards are designed in Angular 8 and programmed using Node.js and R. Cloud dashboards
are used to display statistical analysis and user defined KPIs (Key Performance Indicators)
Smart Water Tank - Academic project (12/2016 – 11/2017)
−
IoT based Android application to notify the water level of overhead water tanks. The water level is calculated
using ultrasonic sensor and Arduino UNO kit. An Android application is developed to display the visual image
and water level of the tank. If the water level reaches up to certain mark, then a notification is sent to Android app
users that the tank is full.
E-Commerce Analytics with MMM - Academic project
−
Impact and budget recommendation analysis for marketing team of an electronic E-Commerce company. Market
mix modelling is used to calculate budget and profit ratios for different marketing variables. EDA is used to
analyse different KPIs. Linear additive and multiplicative model, Distributed LAG additive and multiplicative
model and Kyock model are used for analytics. Visualisation includes EDA, model outputs and final budget
recommendations.
CERTIFICATES
ACHIEVEMENTS
IBM Badge for Big Data Foundation Level 1
Completion of Big Data course using Hadoop.
Hadoop - BigData University completion program
HDFS beginner's training.
IT Olympiad - semi finals
IT Olympiad semifinals round clearance certification.
MS-CIT
Maharashtra State Certificate in Information Technology
Barclay's certification
Soft skills training from Barclay's Global Youth
Employability Initiative program in collaboration with GTT
and NASSCOM Foundation
Performance awards in Piano playing
First grade performance awards in graduation
Indian Classical Music - “Secondary level"
Secondary level certificate in India classical singing