Data science, Data Analysis, Machine Learning candidate in Mumbai, Maharashtra, India

Summary

Profile Summary
Enthusiastic and dedicated recent graduate with a Bachelor's degree in Computer Science from Siga College of
Management. I am eager to leverage my knowledge and skills in Python, Machine Learning, Data Science to
contribute effectively to a dynamic team. My passion lies in exploring the frontiers of Artificial Intelligence, with
a strong focus on Deep Learning, Natural Language Processing (NLP), and Time Series Analysis.

PROJECT

*Automatic Car Parking System using
Arduino. Designed and implemented
an automated car parking system using
an Arduino board.
The system efficiently manages parking
slots and
controls traffic flow, enhancing the
overall parking experience.
This project showcased my ability to
apply hardware programming skills to
practical scenarios.

H0PE AI PROJECTS

FAKE NEWS PREDICTION-NLP-
JOURNALISM

* Utilized NLP techniques for Fake
News Detection
* Acquired and preprocessed a
diverse dataset of news articles
Implemented state-of-the-art deep
learning models for classification
* Conducted extensive evaluations,
achieving an accuracy of 92%

CHRONIC KIDNEY DISEASE PREDICTION - HEALTH CARE
* In this Problem Statement come under Supervised
learning (Classification).
* I used RFE and Select K-best model to found qualified
feature in Feature Selection.
* Used Confusion Matrix as Evaluation Metric. for Test
Data F1 Score for each class above 90%

CUSTOMERSEGMENTATION - TARGET MARKETING
* This Problem Statement come under Unsupervised Learning
(Clustering)
* Created a model based on the several parameter to find
different types of customers.
* Based on the Annual Income and Spending Score, created
cluster model.
TATA COFFEE NSE PRICE PREDICTION - TIME SERIES
ANALYSIS - SHARE MARKET
* Collected dataset from nsepy which is a python library
where we can get the history of data from the start date to
end date
* And checked the stationarity of the column which I took
* And applied ARIMA(AutoRegressive Integrated Moving
Average) algorithm and forecasted the next days prices of
TATA COFFEE

INSURANCE CHARGE PREDICTION- FINANCE
* This Problem Statement come under Supervised learning
(Regression).
* Converted the Categorical Columns into Numerical Columns
using One Hot Encoding.
* Using Grid Search Techniques found the best parameter model.
* This is a Regression Problem Statement, So I found r2_score
value.
* This is my insurance charge Prediction output.
Helmet Detection text
When I learnt Deep Learning, ImmediatelyHelmet
Detection Popped in the
mind. Used Transfer Learning Mobile Net model and
FaceNet pretrained Model.
Learnt benefits of using Transfer Learning and How to
prepare Dataset for the
Deep Learning Problem Statement.
The Model Learnt without Helmet, With Helmet and even
glass of helmet is open
ZOMATO DATA ANALYSIS - DATA SCIENCE
Analyzed the Zomato Dataset and Preprocessed it to
make it free from Outliers and Null values
Started the Univariate analysis on each column and
visualized it on Matplotlib and Seaborn libraries for
better visualization
Used K-means algorithm and clustered the dataset into
4 clusters based on the Elbow method

EXPERIENCE
Machine Learning and Data Science Trainer Jan 2024 - Present

H0PE AI PROJECTS

Helmet Detection text GITHUB
When I learnt Deep Learning, ImmediatelyHelmet
Detection Popped in the
mind. Used Transfer Learning Mobile Net model and
FaceNet pretrained Model.
Learnt benefits of using Transfer Learning and How to
prepare Dataset for the
Deep Learning Problem Statement.
The Model Learnt without Helmet, With Helmet and even
glass of helmet is open

ZOMATO DATA ANALYSIS - DATA SCIENCE GITHUB
* Analyzed the Zomato Dataset and Preprocessed it to
make it free from Outliers and Null values
* Started the Univariate analysis on each column and
visualized it on Matplotlib and Seaborn libraries for
better visualization
* Used K-means algorithm and clustered the dataset into
4 clusters based on the Elbow method

AI Intern Jun 2023 - Dec 2023
HOPE Artificial Intelligence, Coimbatore
domains of Artificial Intelligence here and gained lot
of hands-on experience with the datasets on ML, DL,
NLP, TSA, Data Science and Recommendation
Systems

EDUCATION
Bachelor of Science in Computer Science Sep 2020 - Jun 2023
Siga College of Management, Thiruvalluvar University

Higher Secondary Certificate (HSC) Sep 2018 - Jun 2019
Holy Flowers Higher Secondary School

Certificate (SSLC) Jun 2017
Holy Flowers Higher Secondary School, Kariyamanicam

SKILLS
Expert in: Data Science
Intermediate in: Machine Learning, Deep Learning , Natural Language process