Customer Care Data Analyst

Kunal Motilal Nisar

e-mail : ************@*****.*** mobile no. : 969-***-****

LinkedIn profile : https://www.linkedin.com/in/kunal-nisar-37000417b OBJECTIVE

Seeking for the position of data analyst at your organization for exploring the more business ideas through data analytics platform and accordingly ending up getting a good and profitable business goals of your organization.

SKILLS

Technical Skills : C, PYTHON, MYSQL, Tableau, Machine Learning (ML)

Microsoft office products ( word, Excel, powerpoint ), JUPYTER NOTEBOOK ( within anaconda)

Data Visualization, Data analytics, Feature Selection, Data cleaning, imputing the outliers.

Volunteering, Representative, coordinator .

WORK EXPERIENCE

1. VR FINANCIAL AND MANAGEMENT ( Nov 2019 – Dec 2019 ) Role : Customer Care Executive ( part time )

Description : used to speak with various customers over call and in personal for solving their financial issues and thus providing the path to get the loan for their particular issue. 2. NERVE SOLUTIONS PVT LTD. ( Aug 2019 – Oct 2019 ) Domain : Fintech company

Role : Software Developer ( full time )

Description : Used to develop an application according to the need of client . Also used to test the applications and accordingly finding out the bug . Technologies : C#, GCP(NLP)

3. Completed internship from INTERNSHALA about promotion of internshala and its products.( sep 2018 – nov 2018 as a freelancer )

EDUCATION

Institution / College Degree / Course Marks/CGPI Year of completion Thadomal Shahani engineering

college

B.E ( IT ) 8.36 2019

The B.S.G.D’s junior college H.S.C 76.77 2015

Vagad Gurukul International School 10th ( CBSE ) 78 2013 PROJECTS

1. Data Mining : Made a mini project of data mining using WEKA explorer software in the group of four and accordingly represented a presentation on same. Under professor shanti therese TSEC IT. 2. Capstone project – Loan default prediction ( in imarticus learning using python as a data science) The project was all about to identify whether the loan applicant will make the default or not Technology used : python

Application : jupyter notebook (anaconda application) Algorithm used : Logistic Regression, Decision Tree And also various business insights were taken out from the given dataset and accordingly the project was concluded.

And also the presentation was made on this project and it was represented accordingly. 3. Product mix of public and private cloud to offer cost arbitration in IT Infrastructure Research and analysis project about cloud usage and its advantages and disadvantages. WORKSHOPS

Attended a career guidance workshop conducted by CATKING under catking director Rahul.

Participated in the IDEATION WORKSHOP hosted by NMIMS MPSTME in March 2018 .

Participated in the B-PLAN WRITING WORKSHOP hosted by NMIMS MPSTME in March 2018.

Represented a presentation on project made by our team in semester 5 in business communication and ethics.

Represented a presentation on project made by our team during our course period in imarticus learning on the visualization of data i.e EXPLORATORY DATA ANALYSIS. TRAINING

Completed the course of Data Science from Imarticus Learning Pvt Ltd Institute.

Completed the course of Advance Excel From Keerti Computer Institute. CO-CURRICULAR ACTIVITIES

1. Volunteer of NSS – TSEC

Attended a Camp of NSS learned about the publicity, marketing within the village.

Worked with a Different People.

Attended a rally on SWACHHAGRAH on October 2,2017.

Organized a long jump event for village people in gramotsav in January 2019. 2. I am a BLS TRAINED HEART MARSHAL under iCare Association with Holy Family Hospital. 3. Merit in the International Mathematics Olympiad conducted by Science Olympiad foundation in 2011.

4. Completed course on computer concepts under NIELIT in November 2016. 5. Distinction in hindi language competition by Mahatma Gandhi Rashtrabhasha Hindi Prachar Yojana. 6. Secured 2

nd

position in English Debate competition in School for the year 2010-2011. HOBBIES

1. Music, Movies, Entertainment.

2. Reading.

3. Travelling.

4. Learning.

5. Cricket, Carrom, Table Tennis, Pool.

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