AISHWARYA RAMAKRISHNAN

Passionate about creativity, enjoys real-world challenges, and seek eye-opening solutions for problems.

Good leadership skills and dedicated individual who is fluent in English. Sound knowledge and experience with Python and SQLite3.

Worked on projects in agile development teams, that included regular brainstorming sessions and client meetings to develop high-quality software. Team player, follows through with deadlines and active participation.

Adapt quickly and build good rapport with team members.

Seeking internship in this excellent place to nurture skills and experience technology with business, get industry exposure to build career and develop quality systems.

• Place-Com Member for IT department SSN
• Secretary at AIT, Association of IT dept SSN,(student body of IT department)
• Ex-Campus President YUCI

• Hindi
• English
• Tamil

• 91-8925390169
• 91-9841960174

• Date of Birth: 2003-10-24
• Gender: Female
• Marital Status: Single

• aishwarya2110386@ssn.edu.in
• aishuramkees@gmail.com

Cooking

Kerala Mural Art

PROJECT 1

NAME : Gold Chain Classification.

GUIDE : Dr.Karthika.

TEAM SIZE :4

SKILLS LEARNED : Machine Learning (YOLO) Image classification.

SKILLS USED: ML Algorithm(SVM), Python.

DESCRIPTION : To create a ML(SVM/YOLO) model that identifies the regions where Pearls ,Plastic beads and fiber content that are present in the input(Real time project ).

TIME DURATION : March 2024 to ongoing.

PROJECT 2

NAME : Crop Recommendation System.

GUIDE : Dr.Durgadevi.

Team size: 4

SKILLS LEARNED : Sensors operation, Arduino UNO, Flask, Weather API.

SKILLS USED : ML Algorithms (SVM/RF),HTML, CSS, Flexbox, javascript.

DESCRIPTION : Using Soil Sensors(NPK sensor, Ph sensor, GPS module) and details from Weather API like temperature , rainfall and moisture content, recommending crops to the farmers and suggesting suitable fertilizers for them.

TIME DURATION: March 2024

PROJECT 3:

NAME : Medicare-Medical Expert System using AI GUIDE: Dr.Gayathri

TEAM SIZE : 3

SKILLS USED : Python, JIRA, AI, Flask, HTML, CSS, JavaScript.

SKILLS LEARNED : Knowledge Graphs and Naive Bayes Algorithms.

DESCRIPTION : It is a web application of Medical Expert System using AI Algorithms. When symptoms are given then the most probable ailment experienced by the user.

Approach 1: A chatbot to get symptoms and matched them using NLTK module.

Approach 2 : A Questionnaire for Naive Bayes .

DURATION :August 2023 to November 2023

PROJECT 4:

NAME : EDA for Credit Defaulters Detection

GUIDE : Dr.SasiRekha

TEAM SIZE : 3

SKILLS LEARNED AND USED :Python, Matplotlib, SciPy, Pandas, NumPy Sklearn Modules.

PROCEDURES PERFORMED : Linear Regression, Logistic Regression, Statistical Data Analysis.

Data Preprocessing: Data cleaning, Creation of bins, Removing Outliers.

EDA: Creating Frequency distributions, Boxplots, Scatterplots, Histograms, Normal distributions. Correlation: Linear and Logistic regression models , Heat Map

Hypothesis Testing: T-tests, Z-test, ANOVA One way variance.

TIME DURATION : November 2023

PROJECT 5

NAME : Social Media Application

GUIDE : Dr.Srinivasan

TEAM SIZE : 6,

SKILLS USED: JIRA, Python, Data Structures, Algorithms, SQLite, Javascript, HTML, CSS

DESCRIPTION:

Scrum Master: Allotted user stories from retrieved requirements, and timely coordinated with team members to regularly update progress.

Developer: Designed the front-end and implemented the same using HTML/CSS. Created Profile blueprints for clients.

Analyzed and experimented BFS algorithm using tree data structure to introduce connection between Friends.

• Microsoft Power BI workshop, TechTip24.(Skills LEARNED : Data Analysis, Statistical Data Analysis training.)
• AI and ML Bootcamp , SSN College of Engineering. (SKILLS LEARNED : ML, Speech Recognition, PLP features).