CSE - Data Science

  About Data Science

The department of CSE (Data Science) was established in the year 2020 with an approved intake of 60. And the intake is enhanced to 60 in the year 2022.At present there are 120 students at each level.Our department possesses sufficient teaching and non teaching faculty according to desired qualifications.In today’s technical world, the exponential growth of data, requires a science ensuring that the huge volumes of data is handled accurately, analyzed efficiently, knowledge is extracted appropriately and visualized perfectly . Data Science is a complete integration of all these requirements.

Data Science is an interdisciplinary field of Computer Science, which continuously evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals should master the full spectrum of the data science life cycle and programming skills.

The principal purpose of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly. A Data Scientist is responsible for collecting, storing and maintaining the structured and unstructured form of data.

The main objective of the department is :

  1. Career Focused Learning
  2. Enhance Knowledge
  3. Employment

The department has well-equipped specialized laboratory facilities like Data Science, Programming with Objects, Database Management Systems, Web Application Development, Object Oriented Analysis and Design, Data Wrangling and Visualization, Foundations of Machine Learning, Natural Language Processing, Virtual Reality and Big Data and Analytics etc. The infrastructure and lab facilities are upgraded from time to time and provide good practical learning and innovative environment for the students and researchers.

The students are encouraged to participate in Hackathons / Projects / Internships to improve their practical knowledge. The department also organizes regularly co-curricular and extra-curricular activities for the all-round development of students such as seminars, workshops, group discussions, etc. The department imparts specialized training to students to pursue their career in core and other IT related streams through various skill development activities.

CAREER PROSPECTIVE FOR DATA SCIENCE STUDENTS

  • Data Analyst
  • Data Specialist
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Data Consultant

  HOD Message

Sai Srinivas Vellela working as Asst. Professor in the CSE-Data Science at Chalapathi Institute of Technology, Guntur, Andhra Pradesh, India.He graduated in Computer Science and Engineering at Sri Sarathi Institute of Engineering and Technology, Nuzvid, Andhra Pradesh, India. He secured M. Tech in Software Engineering at GIET, Rajahmundry, Andhra Pradesh, India. He Pursuing Ph.D., in Computer Science and Engineering at Saveetha School of Engineering, Thandalam, Chennai, India. He is in the field of Data Warehousing and Mining at Chalapathi Institute of Technology, Guntur, Andhra Pradesh, India. He is in teaching profession for more than 14 years. He has presented 45 papers in National and International Journals, Conference and Symposiums. His main area of interest includes Cloud Computing, Data Warehousing and Mining,Machine Learning, Data Structures, DBMS, Programming for Problem Solving, and Distributed Systems.

We offer the students best hands on experience, Industry institution interaction, research exposure, social impact projects to solve real world problems and societal needs.

Mr.VellelaSaiSrinivas

M.Tech,(Ph.D)

Department of CSE- DATA SCIENCE

Chalapathi Institute of Technology

Email : vsaisrinivas@city.ac.in

Mobile : 8886030352

  Vision

To evolve into a center of excellence and produce competent Computer Science and Engineering professionals with ethics and values towards employability, research, higher education and entrepreneurship.

  Mission

M1 : To promote teaching and learning processes that enhance concepts in computer science and engineering leading to innovations and research.

M2 : To promote Industry Interaction through collaborations for enhancing employability

M3 : To impart quality training, hands-on experience and value-added education to solve real-world problems and societal needs.

  PEOs

PEO1 : To produce graduates with strong foundation of domain knowledge in the field of Computer Science & Engineering.

PEO2 : To produce graduates who can successfully pursue graduate studies and research in Computer Science& Engineering.

PEO3 : To produce graduates who can practice their profession and communicate effectively either individually or in groups to meet dynamic needs of the industry.

  Program Outcomes (POs)

PO1 : Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2 : Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3 : Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4 : Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5 : Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6 : The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7 : Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8 : Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 : Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 : Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11 : Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12 : Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

  Program Specific Outcomes (PSOs):

PSO1 : Develop and analyse computer programs for efficient computer–based systems of varying complexity.

PSO2 : Solve problems and manage different projects with ethics, environmental and social limitations

  Faculty

S.No Name of the Faculty Designation Qualification
1 Sai Srinivas Vellela Associate Professor M.Tech.,(Ph.D)
2 Khader Basha Shaik Assistant Professor M.Tech.,(Ph.D)
3 Roja Salikineedi Assistant Professor M.Tech.,(Ph.D)
4 Dalavai Lavanya Assistant Professor M.Tech.,(Ph.D)
5 S.Venkateswar Rao Assistant Professor M.Tech
6 B.SivaRanjani Assistant Professor M.Tech
7 P.Rajyalakshmi Assistant Professor M.Tech
8 P.Subashini Assistant Professor M.Tech
9 CH.Triveni Assistant Professor M.Tech
10 G.Naga Raju Assistant Professor M.Tech
11 M.Srilatha Assistant Professor M.Tech

  Placements

S.NO Register Number Name of the Student Company Selected CTC
1 20HT1A4429 K.Mahesh Chandu Westlisoft Technologies Pvt Ltd. 4 LPA
2 20HT1A4451 S.Praveen Westlisoft Technologies Pvt Ltd. 4 LPA
3 20HT1A4451 S.Praveen tefoLOGIC 8.5 LPA
4 20HT1A4425 K.Likhitha Sutherland Global Services 3 LPA
5 20HT1A4460 T.Divyasiri Sutherland Global Services 3 LPA
6 20HT1A4438 Chanikya Muthyala Sutherland Global Services 3 LPA
7 20HT1A4401 Yamini Aluri Sutherland Global Services 3 LPA
8 20HT1A4413 Kalyana Sai Dasari Sutherland Global Services 3 LPA
9 20HT1A4418 Varshitha Gogineni Sutherland Global Services 3 LPA
10 20HT1A4432 Kotari Thathaji Sutherland Global Services 3 LPA
11 20HT1A4430 Kolla Sreelatha Sutherland Global Services 3 LPA
12 20HT1A4442 Sharath Pallepogu Surya Tech Solutions 2.56 to 4 LPA
13 20HT1A4403 Mahendra Ankam Surya Tech Solutions 2.56 to 4 LPA
14 20HT1A4410 Ch.Siva Teja CEASE FIRE INDUSTRIES 5.21LPA

  Seminars/Guest Lectures

S.No Topic Guest Speaker Date Batch
1 Data Mining Using Python Mr. P. Gopi 12/5/23 IIB.tech DS
2 Deep Learning Mr. P. Gopi 13/4/23 III B.tech DS
3 Awareness on other career options Mr. Anudeep 28/2/23 III B.Tech DS
4 Big Data Analytics Mr. P. Gopi 15/2/23 III B.tech DS
5 MongoDB Mr. Prasanth G 25/02/23 II B.tech DS.
6 Higher studies and career options in USA Mr. Swami 17/2/23 III & II B.tech DS
7 Latest emerging technologies Dr.ShaikSubhani 7/9/22 III & II B.tech DS

  Trainings

S.No.

Name of Training

Training Institute/Company Details

No. of Days

1

FULL STACK MASTER CLASS ON JAVA

APSSDC & PANTECH  SOLLUTIONS

30 days

2

DATA SCIENCE

APSSDC & PANTECH  SOLLUTIONS

30 days

3

" Connect with work " Communications & Employability Skills

Rubicon Skill Development Pvt. Ltd.

4 days

4

ADVANCED PYTHON PROGRAMMING "  Master Class

APSSDC & PANTECH  SOLLUTIONS

30 days

5

Training on "C PROGRAMMING"

CODETANTRA

15 days

6

" Introduction to AI " Master Class

APSSDC & PANTECH  SOLLUTIONS

30 days

7

C Programming in CODETANTRA

CODETANTRA

6 days

8

Aptitude & Reasoning

Mr. Lakshmi Narayana, LNCRT

15 days

9

Training on   Data Structures using C

CODETANTRA

6 days

10

Training on " Programming with JAVA"

Inspiring minds  Training Division

6 days

 

 

  Workshops

S.No.

Topic

Institute/Company Details

1

Block Chain Technology( Workshop + Hackathon)

AQUATECH Foundation

2

One day workshop on Big Data Analytics

Mr. P.Gopi, Vignan College

3

Workshop on "AI & ML"

PantechSollutions

4

One day workshop on Programming with Java

Mr. Prasanth G ,TheMathCompany

5

One day workshop on Programming with Java

Mr. Prasanth G ,TheMathCompany

6

Workshop on "MongoDB"

Mr. Prasanth G ,TheMathCompany

7

"IOT & AI using Python"

( WORKSHOP + Mini Project)

AQUATECH Foundation

8

One day workshop on Data Mining Using Python

Mr. P. Gopi,Vignan College

9

One day workshop on Deep Learning using Tensorflow

Mr. P.Gopi, Vignan College

 

 

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