*********@*****.***
Mumbai, IN
https://www.linkedin.com/in/g-taroon-
subramaniam
Taroon Subramaniam
Trainee Engineer
SUMMARY
Enterprising Trainee Engineer and
Certified Data Science Professional
highly skilled in Oracle SQL,
documentation etc across the
complete development life cycle of
a product in ICICI Lombard by
looking onto the databases for
adept information of the products.
KEY SKILLS
Windows OS Linux
Code
Optimization
Team Coordination
Data Modeling &
Optimization
Decision Making & Predictive
Analysis
TECHNICAL SKILLS
CERTIFICATIONS
PROFESSIONAL EXPERIENCE
CMS IT Services
Trainee Engineer Mumbai, IN
Apr '18 May '19
CMS IT Asset Management Services provides innovative technology support solutions Product: Worked for client site ICICI Lombard as an Application Support Engineer on online insurance booking engine complete with payments, customer issue resolution, partner section etc.
Database: MySQL
EDUCATION
Postgraduate Diploma in Data Science
Amity University Online Mumbai, IN
Jun '19 Jun '20
B.Tech - Electronics And Communication
Vignan Institute Of Technology, JNTUH Hyderabad, IN Jul '12 Dec '17
KEY DATA SCIENCE PROJECT
Programming Languages: C,
C++, SQL, Python, R
Packages: scikit-learn,
numpy,scipy, matplotlib, pandas
Database: MS SQL Server,
MySQL
Statistics/ML: Supervised
Machine Learning Algorithms,
Unsupervised Machine Learning
Algorithms, Tableau
Visualization, Anomaly
Detection & Analysis
IDE: Jupiter Notebook,
PyCharm, Spider & R-Studio
Documentation Tools: MS
Office Suite
Data Analytics
360 eCornell 25/12/2019
Data
Analytics eCornell 29/09/2019
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Operated on modifying the data in important tables in the database reporting and analyzing performance at SQL server by troubleshooting and resolving the same.
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Key Modules:Introduction to Data Science Data Visualization Techniques Decision Making & Predictive Analysis, Data Modeling & Optimization Machines Learning
(Supervised Learning), Machine Learning (Unsupervised) Deep Learning Big Data Analytics
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Domain:Demand Forecasting
Tech Stack: Python
Visualization: Tableau
Objective: Demand planning of the printer spares supply chain with end-to-end visibility
Solution: Forecasting the printer spare parts stock via supervised machine learning algorithms.