Data Analyst Intern

AKSHAY NAGOSE

+** - 982-***-****

akshaynagose***@gm

ail.com

LinkedIn Profile GitHub Profile

OBJECTIVE

To obtain a position that will allow me to utilize my technical skills, hardship, and willingness to learn in making an organization successful.

KEY SKILLS

• PYTHON

• NUMPY PANDAS

• MATPLOTLIB SEABORN

• MACHINE LEARNING

• SQL TABLEAU

• MICROSOFT EXCEL

• GITHUB

• STRONG

COMMUNICATION

ACHIEVEMENTS

• Appreciation Certificate for

outstanding performance

from Fireblaze AI School in

Data Science and Machine

Learning Specialization

program (03/11/2021)

• Won the Best Performance

Award in Mid-Term

Examination during Data

Science and Machine

Learning Specialization

Program (Nov – 2021)

WORK EXPERIENCE

Oct-21 to Present

Data Analyst Intern Fireblaze Technologies Private Limited 1. Creating a Snake Game using Pygame and tkinter library 2. Object in Python OOP’s

Oct-21 to Nov-21

Campus Ambassador Intern InternBug

1. Promotional task of company on LinkedIn

EDUCATION

FIREBLAZE AI SCHOOL NAGPUR

Specialization Certificate Data Science and Machine Learning AUG-21 to DEC-21

G. H. RAISONI COLLEGE OF ENGINEERING NAGPUR

BE Mechanical Engineering 2020

GOVERNMENT POLYTECHNIC COLLEGE BRAMHAPURI

DIPLOMA Mechanical Engineering 2017

NEVJABAI HITKARINI HIGH SCHOOL BRAMHAPURI

SSC 2014

PROJECT

EXTRA CURRICULAR

ACTIVITIES

• Participated in ASME-EFX

2018 Event (22/09/2018)

LANGUAGE

• ENGLISH

• HINDI

• MARATHI

1.Exploratory Data Analysis of Housing Price

• Handling with categorical data and standardization of data like house rent, living area, total area.

• Outlier treatment using z-score and IQR method.

• Imputation of null values in the dataset.

2. Data Visualization of the Job Posting in The Glassdoor Dataset

• Data visualization of categorical and numerical data using various plots like bar plot, histogram, swarm plot, scatter plot so that easy to visualize the jobs data.

3. Uber Customer Study using MySQL

• Using MySQL sorting the Uber data and run required queries for the study of customer behavior in order to improve in taxi service.

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