Kaleeswari S

Data Scientist

Based in Chennai, Tamilnadu

About

I'm Kaleeswari S, a passionate Data Scientist, with a strong academic background and hands-on experience in data science and analytics. My journey in data science has equipped me with expertise in statistical analysis, data visualization, data mining, and various programming languages including Python and SQL. I have successfully completed projects involving machine learning, data cleaning, and predictive analytics, showcasing my ability to derive actionable insights from complex datsets. In addition to my technical skills, I have a creative side with an interest in designing. I am familiar with CorelDRAW and Photoshop, and I often assist in my family's business, where I enhance my design skills.

Skills

Projects

Singapore-Resale-Flat-Prices-Predicting

Aim to develop and deploy a machine learning model that predicts the retail resale prices of flats in Singapore. Buyers can use the application to estimate resale prices and make informed decisions, while sellers can get an idea of their flat's potential market value.

BizCardX-Extracting-Business-Card-Data-with-OCR

Aim of this project is to develop a Streamlit application that empowers users to effortlessly upload business intelligence card images, extract vital information using easyOCR, and showcase the extracted details in a visually appealing and organized manner within the application's GUI.

Youtube Data Harvesting and Warehousing

Task is to build a Streamlit app that permits users to analyze data from multiple YouTube channels. This project is very helpful for the new youtube channels who aims to succeed. By using this user-friendly Streamlit application they easily understand where they want to focus.

Phonepe Pulse Data Visualization and Exploration

The objective of this project is to extract and process this data manipulations, enabling the generation of user-friendly visualizations that provide valuable insights. Develop a comprehensive and user-friendly solution, from data extraction to dashboard deployment.

Industrial Copper Modelling

The Industrial Copper Modeling project focuses on predicting the selling price and status (won or lost) in the industrial copper market using machine learning regression and classification algorithms.

Airbnb Analysis

Analysis on Airbnb data using Python, Plotly and Created interactive dashboard using Tableau_Public. Analyze Airbnb data using MongoDB Atlas, Perform data cleaning and EDA, develop interactive geospatial viz used for user's cost-savings with efficiency increases due to the requirements of the users.

Experience

01/2021 – 04/2021

Project Trainee at Pinnacle Computing Solutions.

•To develop a sales analysis engine that will help in marketing and sales. •Assist in collecting and organizing data, Analyzing and interpreting data. •Use statistical methods to analyze data and create data visualizations and reports. •Support in data cleaning, data preprocessing and identifying patterns and trends.

Education

09/2023 - 02/2024

IIT-M Advanced Programming Professional & Master Data Science at IITM GUVI.

During this program I have gained hands-on experience in various tools and technologies like Python, SQL, Data analytics and Visualization, Statistics & Probability, Machine Learning, NLP and so on. The various hands-on projects, live sessions, continuous assessments and final examination has helped me to develop my skills in the domain of Data Science. Implemented my learnings by working on various real-time projects.

2019-2021

M.Sc., Data Science at Kalasalingam Academy Of Research and Education.

I graduated with 90% marks. During my postgraduate studies, I had the opportunity to work as a Project Trainee at Pinnacle Computing Solutions. Here, I developed a sales analysis engine, assisted in data collection, and utilized statistical methods to create impactful data visualizations and reports.

2016 - 2019

B.Sc., Mathematics at SRNM College.

I have a Bachelor's Degree in Mathematics from Sri S.R.N.M. College, affiliated with Madurai Kamaraj University, with an impressive 80% score.