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AARUSH SAKHUJI

I understand the Business in most complex way and mold my ways according to requirements of the world.

ade508@r.postjobfree.com +353*********

***, ******* *********, ****nanda, New Delhi - 110019, Delhi, India

05 August, 1993

www.youracclaim.com/badges/7507ac7b-430d-424e-991d- 95bad9693d45/public_url

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facebook.com/Aarush Sakhuji

WORK EXPERIENCE

07/2019 – 04/2020

Sales Assistant

Laura Ashley

Dublin, County Dublin

Retail Company

Demonstrated features, answered questions and offered solutions

Maintained current knowledge of applicable sales and product changes and managed the team of 5 people.

Helped average of 50 customers per day by responding to inquiries and locating products

03/2019 – 07/2019

Service Specialist and Customer

Representative

House Of Fraser

Dublin, County Dublin

Retail Company

Analyzed and properly processed product returns, assisting customers with finding alternative merchandise to meet needs.

Tracked stock using company inventory management

software

Answered 40 + inbound calls per day and directed to designated individuals or departments

SKILLS

Tableau Power BI Python MS Excel

MS Access Android SQL Rapidminer

Effective Communication Team Player Leadership

Self Motivator Salesforce Business Intelligence

Google Ads Google Analytics Sales B2B Sales

Process Improvement Machine Learning

Team Management R Data Extraction

Decision Making Data Maping Data Modelling

Data Validation VBA Data Testing

Multi Tasking Inventory Control

PERSONAL PROJECTS

Advance Data Mining

Built a data mining project on Rossman sales datasets (1 .1 million rows from Kaggle competition) using deep learning techniques like RNN-LSTM, GRU and comparing supervised machine learning technique (SVM) using R, Python, and Rapid Miner and built a project on the AirBnB datasets for predicting the preferences of the possible destinations when registering yourself on website by the help of XGboost and Decision tree.

Data Warehouse

Built a data warehouse using Excel, R, SSIS, SSMS, SSAS, Tableau and Power BI on movie dateset therebetween and 201 6 and live comments on twitter using sentiment analysis on R. Research Project

search Project Researching on Kidney Failure based on different obesity levels using different machine learning techniques

(ensemble methods) – decision trees, gradient boosting, Adaptive boosting (ADA), KNN, SVM and GLM with CRISP-DM using mlr, smote, Boruta package for the effective feature selection Achievements/Tasks

Achievements/Tasks

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WORK EXPERIENCE

09/2018 – 01/2019

Data Migration Specialist

Clanwilliam Group

Dublin, County Dublin

Investment Company

Managed the data from clients and third-party software like Socrates, HPM, DGL, and RX web and did testing with the QA environment by using SSIS and checked with ETL if the right data is picked before going on the live environment. Developed streamlined processes to import, analyse, clean and update the data into reporting tool like Excel. Monitored the quality and consistency of data flow using SQL Server, SSIS and SSAS.

Stored and managed the data in MS Access using T-SQL while timely updating it.

Designed and developed data migration and operational workflows using Microsoft Dynamics 365 and Azure.

EDUCATION

01/2017 – 06/2018

Post Graduate Diploma in Data Analytics

National College Of Ireland

Dublin, County Dublin

Advanced Data Mining Data warehousing and

Business Intelligence

Data visualization Statistics for Data

Analytics

Strategic ICT and

eBusiness Implementation

Analytical CRM

Managing the

Organization

Research in Computing

Research Project

06/2012 – 06/2016

Bachelors of Technology in Information

Technology

Guru Gobind Singh Indraprastha University

Delhi, India

Database Management

System

Programming with C

JAVA Linux

Data Structures using C Fundamentals of

Information Technology

Object Oriented

Programming

Software Engineering

Computer Architecture Data warehousing and

Data Mining

PERSONAL PROJECTS

Statistics for Data Analytics

Performed multiple regression model on School safety report in New York city datasets and ANOVA on UK car accidents between 2005 and 201 5 using SPSS.

Data Visualization

Built reports on USA homicide from 1 980 to 201 4 queries by gathering structured data of crime committed and things affecting it, checked in color simulator for blind people to make them see and finally visualized data using Tableau.

Managing the Organization

Build two case studies –FedEx corporation and second on Wolfgang Keller using management organization principles, leadership skills and motivation skills.

PHP, SQL and HTML

Built a working website for a bank in which we can register as multiple users and can enter details related to the user using HTML, PHP, XML, CSS, and MySQL. I continued with this project but now the unprotected version of this website. It allows for the spread and escalation of malware, attacks on other websites, and even attacks against national targets and infrastructure using HTML, PHP, and MySQL.

Strategic ICT

Built a CRM-Salesforce application on School management system by importing data from data loader, making tabs, fields, sub fields, lookup and visualizing reports through dashboards. Also adding automatically generated WELCOME email feature in it whenever a new user register itself in it

Analytical CRM

Worked on Somerville Happiness Report data and performed multiple regression in SPSS and visualized it using Tableau. CERTIFICATES

Android Development

JAVA Basics

Tableau 1 0: A TO Z by Udemy

Ultimate Google Ads Training by Udemy

Python by Udemy

Microsoft Excel by Udemy

SQL for Data Science by Coursera : University of

California

Successful Negotiation: Essential Strategies and Skills by University of Michigan

ORGANIZATIONS

NIIT

Android developer Trainee

NIIT

Java Basics Trainee

MTNL ( GOV. OF INDIA )

MTNL ( GOV. OF INDIA ) Fiber Optics Trainee

Achievements/Tasks

Courses

Courses

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LANGUAGES

English

Native or Bilingual Proficiency

Hindi

Native or Bilingual Proficiency

Urdu

Native or Bilingual Proficiency

INTERESTS

Problem Solving Data Visualization Video Games

Music Arts Theater Reading Jogging

Machine Learning

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