Data Analyst

Name : Anoof Hameed

Contact : +91-889*******

Email : adm2vr@r.postjobfree.com

Location : Mysuru, India

LinkedIn : www.linkedin.com/in/anoof-hameed/

Github : https://github.com/anoof96/

Objective :

Seeking an entry-level opportunity with an

esteemed organisation where I can utilise my skills and enhance learning in the field of work. Capable of mastering new technologies.

Professional Summary :

• Potential to learn, explore and understand newer domains and technologies.

• Good understanding of Data Analysis

• Good working knowledge of Microsoft Excel

• Feature engineering in Python – Missing value

treatment and outlier handling, transforming variables and reshaping data using Numpy and Pandas.

• Good working knowledge of Data Science libraries such as Numpy, Pandas, Matplotlib and Scikit-learn.

• Basic knowledge of Machine Learning algorithms like linear and logistic regression.

• Hands-on Python development

• Expertise in Python Web Framework – Django

• Knowledge of ORM(object-relational mapping)

• Well-versed in core and advance python.

• Good knowledge of Relational and Non-Relational

Databases like SQL and MongoDB

• Basic understanding of front-end languages like HTML and CSS

• Good analytical and problem solving skills.

Technical Skills :

Front-end language : HTML, CSS

Back-end language : Python

Database : MongoDB, SQL

Web Framework : Django

Data Science Tools : Numpy, Pandas, Matplotlib, Plotly, Folium, Scikit-learn, Microsoft Excel

Operating System : Microsoft Windows

IDE and Project Methodologies : Pycharm, Visual Studio Code and Jupyter Notebook

Certifications and Courses :

Python Development Course at Netzwerk Academy,

Bengaluru

( 06 – 07 – 2020 to 27 – 11 – 2020 )

Education Details :

COURSE SCHOOL/COLLEGE YEAR OF

PASSING

PERCENTAGE

B.COM

(Bachelor of

Commerce)

Mysore

University

June -

2019

62%

PUC (12th) –

PCME

(Physics,

Chemistry,

Mathematics,

Electronics)

Sadvidya Semi

Residential PU

College, Mysore

June -

2016

56%

SSLC (10th) St. Mathias High

School, Mysore

May -

2013

73%

Projects :

Project 1 - Stock Market Data Analysis (Time Series Dataset)

Skills used - Python, Numpy, Pandas, Matplotlib, Plotly, Seaborn and Jupyter

Github link - https://github.com/anoof96/Python-and- Data-

Analysis/blob/main/Data%20Analysis/StockPrice_EDA.ip ynb

Description -

• Analysed daily price change.

• Analysed monthly mean of closing price.

• Checked if the stock prices of companies are

correlated with Nifty50.

• Plotted a Correlation plot for daily returns.

Project 2 - YouTube Data Analysis (Text Dataset)

Skills used - Python, Numpy, Pandas, Matplotlib,

Seaborn, Textblob, Wordcloud and Jupyter

Github link - https://github.com/anoof96/Python-and- Data-

Analysis/blob/main/Data%20Analysis/Youtube_Analysis.i pynb

Description –

• Performed sentiment analysis of comments using

textblob.

• Analysed and visualized most used words in

comments using wordcloud.

• Analysed relation among continous variables such as Likes vs Views, Dislikes vs Views and plotted a

regression plot for better understanding of the

results.

• Plotted heatmap to understand the correlation

between the variables.

Project 3 - Zomato Data Analysis (Geospatial

Dataset)

Skills used - Python, Numpy, Pandas, Matplotlib,

Seaborn, Plotly, Geopy, Folium and Jupyter

Github link - Python-and-Data-

Analysis/Zomato_EDA.ipynb at main · anoof96/Python- and-Data-Analysis · GitHub

Description -

• Calculated average rating of each restaurant.

• Visualised rating distribution using seaborn's

distribution plot.

• Analysed the top restaurant chains in Bengaluru.

• Visualised the restaurants that do not accept online orders using plotly.

• Analysed and visualised the ratio between

restaurants that provide and do not provide table

booking.

• Analysed and visualised the restaurant types and which restaurant type is mostly preferred by people of Bengaluru.

• Highest voted restaurant, total restaurants at

different locations of Bengaluru.

• Most popular cuisines of Bengaluru.

• Analysed approximate cost for two people.

• Analysed and visualised cost vs rating, if restaurants accepts online order or not using scatterplot.

• Difference between price of restaurants accepting and not accepting online orders.

• Most expensive and cheapest restaurants with cost for 2 people along with their location.

• Geographical Analysis using geopy to fetch latitude and longitude of each place.

• Visualised heatmap on Bengaluru map using Folium. Project 4 – Sales Data Analysis

Skills used - Python, Pandas, Matplotlib, Plotly, Seaborn and Jupyter

Github link - https://github.com/anoof96/Python-and- Data-

Analysis/blob/main/Data%20Analysis/Sales_EDA.ipynb Description –

• Analysed which month is best to get maximum sales.

• Analysed the city with maximum number of orders.

• Analysed the most sold product and reason behind it.

• The perfect time to run ads to get maximum sales.

• Most often sold products together.

Contact this candidate