Bhavuk Agarwal

Phone: (M) +91-897-***-**** E-mail: adbvqk@r.postjobfree.com

LinkedIn: www.linkedin.com/in/bhavuk-agarwal-bb4624101 Skype: adbvqk@r.postjobfree.com PROFILE:

A young, creative and dedicated engineering professional with proven ability to work individually and in a team to meet deadlines. A right blend of technical skills and soft skills to bring about a professional who has the ability to fathom concepts quickly and apply them in real world scenarios successfully. SUMMARY:

More than 3.5 years of overall IT experience in Infrastructure support job, reporting in excel, working as data analyst or more as data evaluator.

Worked with multinational companies like HCL Technologies, NTT DATA GLOBAL SERFVICES.

1 year of exposure in Data Science specific role (Python, ML, Statistics, Numpy, Pandas etc.).

2.5 years of experience in Backup and Storage Technology using IBM (TSM) 7.1.0 tool for backup and restore of client machines and provisioning using EMC products as EMC CLARIION CX4, CX-3 arrays.

Familiarity with the IBM Tape Library TS3500 and IBM Storwize v5000

In depth experience of performing daily backup and restore required jobs.

Experience in initiating scheduled Backup and Restore job using IBM TIVOLI STOREGE MANAGER Tool. EXPERIENCE:

1. NTT DATA (Sr. Associate) Oct 2017 to Jul 2019

Working with large datasets to get the desired inferences using statistical techniques.

Applying Hypothetical testing as per data received for modelling.

Have knowledge of different tests required for hypothetical testing (Both numerical and categorical data).

Have knowledge to categorize data for labelling.

Working with Data Science teams in building POC’s.

Knowledge in NLP

Using Numpy library for mathematical solutions and pandas to work with data-frames.

Using python libraries like matplotlib, seaborn (Building explainable graph for management).

Based on requirements checking of the datasets for anomalies, outliers, null values etc.

Applying Normalization techniques if in case data is not normal to fit in model (Like Min-Max, Scalar, and Robust etc.)

Building or help to build models using Machine learning as instructed by lead or documentation.

Worked on Regression, classification and on some clustering techniques to model the data.

Have knowledge of python, statistics (Both Descriptive, Predictive and Inferential).

Streamlined and restructured the backup jobs to optimize the use of resources.

Handling backup and restore requests in Spectrum Protectier (TSM V.E. 8.1.2).

Deployment, configuration and implementation of backup in Windows and UNIX based OS.

Knowledge on working with PMR opened with vendors(Vendors calls) 2. HCL (Backup and Storage Analyst) SEP 2015 to October 2017

Management and co-ordination with network, storage, server, security, Wintel, VM Team.

Handling backup and restore requests in Spectrum Protectier (TSM V.E. 8.1.2)

Streamlined and restructured the backup jobs to optimize the use of resources. SKILLS:

Python, Pandas, Numpy, Matplotlib, Seaborn, Sklearn, * * * * Statistics Domain Knowledge * * * *

Scrapping and Wrangling, Beautiful Soup, html * * * SQL, Hadoop, Hive, PySpark, MongoDB Basics * * * * Machine Learning (Supervised, Unsupervised and Time Series basics) * * * * NLP basics * * *

Tableau, Spotfire * * *

Linux(OS), Windows(OS) * * *

Unix * * * *

EMC Clariion, VNX * * * *

Brocade * * * *

Spectrum Protect(TSM) * * * *

EDUCATION:

Post-Graduation Diploma in Data Science

Manipal University of Higher Education 2019-2020 On-Going End-Date: 20-Mar-2020 GPA-8.50 Current Bachelor of Technology, Major-Information Technology UPTU University 2010-2014 CGPA-7.23

Senior Secondary School, Major-Science

S.D Public School 2010 CGPA-6.9

Secondary School

Holly Angel’s Convent School 2008 Percentage-78 PROJECTS:

1. Quora Question verification sentiments analysis. 2. Predicting Sales for XYZ Inc.

3. A Company named TECLOV.LTD wants to understand the global trends in investments so that the directors can take the investment decisions effectively.

4. Recommend movies to user based on their ratings using recommender system. 5. Filtering out Top 100 movies using Movies and Ratings Datasets (Using Spark, Hadoop). PERSONAL DETAILS:

FATHER : DEEPAK KR AGARWAL

MOTHER : PRITI AGARWAL

DOB : 19-12-1992

WORK AUTHORISATION:

INDIA : CITIZEN

USA : GREEN CARD HOLDER

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