INTERNSHIP TRAINING REPORT

Submitted By
BHARATH .S
REG NO: 611722243301

TRAINING DURATION

(JANUARY 2TH TO FEBRUARY 4TH 2025)

in partial fulfillment for the award of the degree

of
BACHELOR OF TECHNOLOGY
IN
ARTIFICIAL INTELLIGENCE & DATA SCIENCE

R P SARATHY INSTITUTE OF TECHNOLOGY

AN AUTONOMOUS INSTITUTION
SALEM-636305
JANUARY 2025

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 CERTIFICATE OF AUTHENTICITY

DEPARTMENT OF ARTIFICIAL INTELLIGENCE

AND DATA SCIENCE

R P SARATHY INSTITUTE OF
TECHNOLOGY AN AUTONOMOUS
INSTITUTION
SALEM-636305

This is to certify that the "Internship Report" submitted by

BHARATH . S (Reg No: 611722243301) is work done by him/his and
submitted during academic year 2024-2025.

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 DECLARATION

I hereby declare that the internship undertaken as part of my academic

pursuit for the Bachelor’s Degree in Artificial Intelligence and Data Science
is a record of my own study and work at YBI Foundation. The training
period extended from 02/01/2025 to 04/02/2025. This report and its
contents represent my sincere efforts and contributions throughout the
internship.

Submitted by

BHARATH .S
611722243301
Department of Artificial Intelligence And Data Science,
III year/VI Semester.

Submitted to

Mrs. A. KANNAMMAL Dr. N.DEVAKIRUBAI,

Assistant Professor, Professor & Head,

[Artificial Intelligence And Data Science]

R P SARATHY INSTITUTE OF TECHNOLOGY ,

SALEM

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 ACKNOWLEDGEMENT

We would like to express our deep sense of gratitude

and heartfelt thanks to LATE Thiru R.P.SARATHY, Founder,
R P Sarathy Institute of Technology.

We express our deep gratitude of our beloved

Mr. B. NITISH HARIHAR, Chairman, R P Sarathy
Institute of Technology,who gave us the golden
opportunity to do the wonderful internship.

We owe a genuine gratitude to Mrs. AISHWARYA NITISH

HARIHAR, Pro-Chairman, R P Sarathy Institute of Technology,
for providing all necessary facilities and guidance.

We express our deep gratitude of our beloved

Mr. G.PRABAKARAN, Vice-Chairman, R P Sarathy Institute of
Technology, for providing support for this internship.

We express our warm thanks to Dr.MUNUSAMI VISWANANTHAN,

Principal, R P Sarathy Institute of Technology, for helping use to
successfully carry out this internship by providing all the required
facilities.

We wish to express our profound thanks to Dr.N .Devakirubai,

Professor and Head, Department of Arttificial Intelligence And for this
encouragement and inspiration. Our Sincere and Data Science, hearty
thanks to our internship coordinator Mrs.A.KANNAMMAL, Assistant
Professor, for her valuable guidance, timely suggestions and
constructive ideas throughout this internship.

We extend our thanks to staff who cooperated with us in every

deed of this internship. My special thanks to Mr.C.devaraju for
providing me guidance and encouraging me to get trained skillfully.

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 TABLE OF CONTENTS

S.NO DESCRIPTION PAGE

NO

1. Executive Summary of the 6

Internship

2. About the Organization 7

3. Plan of the Internship Program 7

4. Learning Experiences 8

5. Sources Used 9

6. Conclusion and Suggestions 10

7. Outcome of the Internship 10

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 Executive Summary of the Internship

Over a span of 30 days, I completed an internship at YBI Foundation, where I

worked on the topic of Business and Data Analytics. My project involved
performing Exploratory Data Analysis (EDA) on the Indian Premier League
(IPL) match data. The primary objective was to derive insights into team
performances, player statistics, and match trends. The analysis focused on
understanding factors such as team success, individual player impact, and
match outcomes.

By utilizing Python libraries such as Pandas, Matplotlib, and Seaborn, I was

able to preprocess the data, perform statistical analysis, and visualize the
results effectively. This internship not only helped me enhance my data analysis
and visualization skills but also provided a deeper understanding of the IPL
dataset, while showcasing the practical applications of Business and Data
Analytics

About the Organization

YBI Foundation is a well-known organization that focuses on empowering

youth by providing them with opportunities for skill development and career
advancement. The foundation aims to foster innovation through various
training programs, internships, and projects across

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 multiple fields, including data science. During this internship, I was given
the opportunity to work with a real-world dataset, which offered me
practical experience in data analysis and analytics. YBI Foundation's goal is
to provide interns with exposure to industry- standard tools and techniques,
preparing them for future roles in data science.

Plan of the Internship Program

Given the 30-day duration, the internship was meticulously structured and
intensive, focusing on offering a comprehensive introduction to the data
analysis process, from initial exploration to final presentation within a
condensed time frame. The program was divided as follows:

Day 1-3 : Introduction to the IPL dataset,

understanding its structure, and performing initial
data cleaning. This stage involved handling missing
values, correcting data types, and preparing the data
for analysis

Day 4-6 : A deeper dive into Exploratory Data Analysis (EDA),

where I focused on analyzing team performance,
individual player statistics, and match outcomes.

Day 7-10 : Business and Data Analytics involve the use of data
to drive strategic decision making and improve
business performance. It leverages techniques such as
statical analysis, machine learning and data
visualization to uncover trends, patterns and insights.

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 Day 11-15 : Data visualization using Python libraries
like Matplotlib . I created a variety of charts, such as bar
charts for team wins, histograms for run distributions, and
line plots to track performance trends over time.

Day 16-25 : Finalizing the analysis, interpreting the

key insights, and preparing a report and
presentation. This phase involved drawing
conclusions from the visualizations and identifying
actionable insights.

Day 26-31 : Review with mentors to discuss findings

and finalize the project deliverables. On the last day,
I presented my findings to the team, showcasing the
visualizations and insights derived from the data.

Learning Experiences
The 30-day internship offered a wide range of learning experiences
that significantly enhanced my data science skills. These include:

Data Preprocessing : I learned how to clean and structure large datasets

efficiently. Handling missing data, converting data types, and applying
aggregation functions allowed me to prepare the data for meaningful
analysis.

Exploratory Data Analysis (EDA): I gained hands- on experience in

analyzing data using statistical methods, such as grouping data by team or
player, calculating averages, and identifying trends. This process enabled
me to uncover insights about match outcomes, player performances, and
scoring, patterns.

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Data Visualization: Through the use of Matplotlib and Seaborn, I was able
to present my findings in a visually appealing manner. I created a variety
of charts, such as bar plots and histograms, to clearly
communicate insights to stakeholders.

Time Management and Problem-Solving: Working within a tight

timeline, I had to prioritize tasks and manage my time effectively to
meet deadlines.

Sources Used
IPL match dataset (publicly available datasets)
Pandas documentation for data manipulation
Matplotlib and Seaborn libraries for data visualization

Conclusion and Suggestions

Despite the short duration, the internship at YBI Foundation was an
invaluable learning experience. It gave me an opportunity to apply
theoretical knowledge to real-world data, thereby strengthening. my
skills in data cleaning, analysis, and visualization. The project provided
insights into IPL team performance and match trends, which could be
further explored with advanced techniques in future analyses.

Outcome of the Internship

By the end of the internship, I successfully completed an EDA project on IPL

match data. The insights derived from the analysis—such as team success
rates, player contributions, and scoring trends— were compiled into a final
report and presented to the organization. This internship not only helped
me build a solid foundation in data science but also enhanced my technical
skills and boosted my confidence in working with real-world data. The
experience at YBI Foundation equipped me with the tools needed to pursue
further work in data analysis and data science.

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