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Engineer Data

Location:
Mumbai, Maharashtra, India
Posted:
August 12, 2020

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Resume:

+919*********

*********@*****.***

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.



Contact this candidate