Instructions for

Internship Report Drafting

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Important sections in project report
Makesure to keep these sections in your project report Page
1. Cover page of report ..2
2. Student declaration ..3
3. Content Table (With Serial Number, Title, Page Number) ..4
4. List of Figures (With Caption & Figure Number) ..5
5. List of Tables (With Caption & Table Number) ..6
6. Nomenclature / Notations if any. ..7
7. Executive Summary ..8
8. Overview of Organization ..9
9. Project Summary (Preamble, Introduction, Motivation, Plan of Research) ..10
10. Data Flow Diagram / Processflow ..11
11. Code / Program with Supported Screenshots ..12
12. Input / Output Datasets with Screenshots. ..13
13. Images / Video links ..14
14. References. ..15
15. Student Self Evaluation ..16
16. Annexure 1 (Daily Activity Report) ..17
17. Annexure 2 (Weekly Activity Report) ..18

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 [EISystems Logo]

Internship Report
On
(Title of the Internship)

Submitted by Submitted to
Sameer Shahid Siddiqui Mallika Srivastava
2208252013 Head, Training Delivery
Khwaja Moinuddin Chishti Language University EISystems Services

&

Mayur Dev Sewak

Head, Internships & Trainings
EISystems Services
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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 Student’s Declaration
I, SAMEER SHAHID SIDDIQUI a student of B.Tech AI & DS program, Roll No. 2208252013
of the Department of CSE ……………………………………… , ……………… College do hereby declare
that I have completed the mandatory internship in Eisystems Technologies under the
faculty guideship of [College Guide Name].................., Department of [CSE/ECE/ME]
……..……………………
, [College Name]……………………………… .

(Signature and Date)

Endorsements

SIGNATURE
[Faculty Guide Name]
[Faculty Guide Department]
[College Name]

SIGNATURE
[Head of Department Name]
[Department Name]
[College Name]
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Table of Content
EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 Serial No Title Page No

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AS PER REQUIREMENT

Kindly mention all major headlines/sections of your report with their respective page numbers in report.
Major sections include summary, code section, data flow diagrams etc.

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List of Figures
EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 Serial No Image Caption Page No

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AS PER REQUIREMENT

Kindly mention all images/figures used in your report with their respective page numbers in report.

List of Tables
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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 Serial No Table Caption Page No

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AS PER REQUIREMENT

Kindly mention details of all tables used in your report with their respective page numbers in report.

Nomenclature / Notations (if any)

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Serial No Notations Description

EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
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AS PER REQUIREMENT

Executive Summary
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During my internship, I was introduced to the fundamentals of Data Science and Machine Learning, alongside
gaining strong practical knowledge in Python programming and its applications. The primary learning objective
EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
was to build a solid foundation in core programming concepts, understand the principles of machine learning, and
apply them to real-world projects. By the end of the internship, I successfully achieved these objectives and
gained hands-on experience in solving classification, regression, and prediction problems using different datasets.

The internship began with an introduction to data science, machine learning, and Python basics, including
variables, constants, and naming conventions. In the following weeks, I progressed through essential
programming concepts such as data types, strings and their functions, lists, tuples, dictionaries, sets, booleans, user
input, type casting, and control statements. These concepts were reinforced through practice tasks such as creating
a quiz game.

Further learning covered loops, file handling, functions, packages, modules, and exception handling, which
improved my ability to write efficient and error-free programs. I then moved on to advanced topics including
Object-Oriented Programming (OOPs), and the use of important data science libraries such as NumPy, Pandas,
and Matplotlib. These tools enabled me to work effectively with structured data and perform meaningful
visualizations.

The internship culminated in the project phase, where I applied my learning to multiple real-world problems. The
projects included house price prediction using regression, predicting insurance purchase behavior using
classification, encoding categorical variables, multiclass classification on the Iris dataset, binary classification on
the Titanic dataset, and image classification using digit image data. These projects enhanced my ability to
preprocess data, select suitable machine learning algorithms, and evaluate their performance.

Overall, this internship provided me with a comprehensive understanding of data science workflows, strengthened
my Python programming skills, and equipped me with the ability to apply machine learning techniques to diverse
datasets. It has been a highly valuable experience that significantly contributed to both my theoretical knowledge
and practical skills.

Overview of Organization
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. EISystems Services is a leading Indian technology identity with operations across India. EISystems (We call it

EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
EISys) offers trainings in Cybersecurity, Machine Learning, Automobiles, Internet of Things, Robotics and
Socialmedia for enterprises and student community. Till date we have trained approximately 50000 students and
impacted around 2 lakhs students through our various outreach initiatives since our founding.
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Suggestive contents
Introduction of the Organization
Vision, Mission and Values of the Organization
Policy of the Organization, in relation with the intern role

Details can be taken from www.eisystems.in/about.php

9 Page

EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Project Summary
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It must include
Idea behind making this project
About project.
Software used in project.
Technical apparatus requirements before making this project.
Result or Working of project.
Any research done? If yes then mention the process.

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Data Flow Diagram / Process Flow
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It must include
Logic & Process flow of software project, starting from input to output through all conditions involved in
between.
Your code must reflect the process you are going to mention here.

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Code / Program with Supported Screenshots
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It must include
Set of Instructions / Syntax with proper commenting supported by screenshots
(Please do not use mobile photographs for this purpose)

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Input / Output with Datasets & Supported Screenshots
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It must include
Input with Output captured in screenshot
(Please do not use mobile photographs for this purpose)

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Images / Video Links
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It must include
It must include URL of video of the project you are making along with high quality pictures of project.

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
References
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If there are any like URLs, Book & Authors, Papers etc.

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Student Self Evaluation of the Short-Term Internship
Please rate your performance in the following areas:
1) Oral communication 1 2 3 4 5

2) Written communication 1 2 3 4 5

3) Initiative 1 2 3 4 5

4) Interaction with staff 1 2 3 4 5

5) Attitude 1 2 3 4 5

6) Dependability 1 2 3 4 5

7) Ability to learn 1 2 3 4 5

8) Planning and organization 1 2 3 4 5

9) Professionalism 1 2 3 4 5

10) Creativity 1 2 3 4 5

11) Quality of work 1 2 3 4 5

12) Productivity 1 2 3 4 5

13) Progress of learning 1 2 3 4 5

14) Adaptability to organization’s culture/policies 1 2 3 4 5

15) OVERALL PERFORMANCE 1 2 3 4 5

Rating Scale: 5 will be Best while 1 will be Worst

Signature of the Student

Annexure 1
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Daily Activity Report

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 Week No: 1
Day & Date Brief Description of Learning Outcome Person In-Charge
Daily Activity
Day 1 Introduction to Data Understood basics and Trainer
Science & Machine scope of Data Science
Learning
Day 2 Introduction to Python, Learned how to define Trainer
variables, constants and use variables

Day 3 Naming conventions & Understood standard Trainer

Python syntax coding practices
Day 4 Hands-on with Python Improved coding Trainer
basics confidence
Day 5 Revision & practice Reinforced learning of Trainer
exercises Python basics

Week No: 2
Day & Date Brief Description of Learning Outcome Person In-Charge
Daily Activity
Day 1 Print function & Learned code Trainer
comments in Python documentation and
output printing
Day 2 Numbers & strings Understood operations Trainer
data types on numbers & strings

Day 3 String functions Enhanced text Trainer

practice manipulation skills
Day 4 Lists and list methods Learned how to store Trainer
and manipulate
collections
Day 5 Tuples introduction Learned immutable Trainer
collections

Week No: 3
17

Day & Date Brief Description of Learning Outcome Person In-Charge

Daily Activity
Page

Day 1 Dictionaries in Python Learned key-value data Trainer

structure
EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Day 2 Sets in Python Understood set Trainer
operations
Day 3 Boolean & control Learned decision Trainer
statements making in code
Day 4 User input & type Handled inputs and Trainer
casting type conversions
Day 5 Created first quiz game Applied concepts in a Trainer
small project

Week No: 4
Day & Date Brief Description of Learning Outcome Person In-Charge
Daily Activity
Day 1 Loops in Python Learned for and while Trainer
loops
Day 2 File handling basics Learned to read/write Trainer
files
Day 3 Functions in Python Learned modular Trainer
coding
Day 4 Packages and modules Understood Python Trainer
reusability
Day 5 Exception handling Learned error Trainer
management in code

Week No: 5
Day & Date Brief Description of Learning Outcome Person In-Charge
Daily Activity
Day 1 OOPs concept Learned class and Trainer
introduction object basics
Day 2 Inheritance & Explored advanced Trainer
polymorphism OOPs concepts
Day 3 NumPy introduction Learned array Trainer
manipulation
Day 4 Pandas introduction Learned dataframes Trainer
and data analysis
Day 5 Matplotlib introduction Learned data Trainer
visualization

Week No: 6
Day & Date Brief Description of Learning Outcome Person In-Charge
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Daily Activity
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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
Day 1 Regression project Applied regression Trainer
(Area price prediction) techniques

Day 2 Classification project Understood Trainer

(Insurance prediction) classification problems

Day 3 Label encoding & One- Learned categorical Trainer

hot encoding data preprocessing
Day 4 Multiclass classification Applied ML on real Trainer
(Iris dataset) dataset

Day 5 Binary & image Completed advanced Trainer

classification (Titanic & ML projects
Digit data)

Annexure 2
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Weekly Progress Report

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Week No: ______

EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000
 (1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16)

Week(s) Summary of Weekly Activity

Week 1 Introduction to Data Science, Machine
Learning concepts, and basics of Python
including variables, constants, and naming
conventions.
Week 2 Learned about print function, comments,
data types (numbers, strings), string
functions, lists, list methods, and tuples.
Week 3 Studied dictionaries, sets, booleans, user
input, type casting, control statements, and
created a quiz game in Python.
Week 4 Learned loops, file handling, functions,
packages, modules, and exception handling.
Week 5 Explored Object-Oriented Programming
(OOP) concepts, NumPy, Pandas, and
Matplotlib for data analysis and visualization.
Week 6 Developed multiple projects including
regression (area price prediction),
classification (insurance prediction, Titanic
dataset), label encoding & one-hot encoding,
multiclass classification on Iris dataset, and
digit image classification.

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EISYSTEMS SERVICES
FF-110, Express Greens Plaza, Sector 1
Vaishali – Delhi NCR – India 201010
W: www.eisystems.in | E: info@eisystems.in | T: +91 92122-51000