HASNA C
 +916238494289  hasnachelamadathil@gmail.com
LIN
KS

GitHub hasnac

Linkedin hasna‑c
SKI
LLS
PROFICIENT WITH:
&bull; Python
&bull; SQL
&bull; R Programming
&bull; Java
&bull; Machine Learning
&bull; AWS
&bull; NLP
&bull; Statistics
FAMILIAR WITH:
&bull; Pyspark
&bull; GCP
&bull; Hadoop
&bull; Git
&bull; Excel
&bull; Tableau
EDU
CATION
MSC IN BIG DATA ANALYTICS
(COMPUTER SCIENCE)
Central University of
Rajasthan
 Nov 2021 ‑ Aug 2023 Rajasthan, India
BACHELOR IN COMPUTER
APPLICATION
University of Calicut
 2017 ‑ 2020 Kerala
INT
ERNSHIP
WEB DEVELOPMENT INTERN
Bluegen Solutions, Calicut
 Jul 2019 &ndash; Jan 2020 Calicut, Kerala
&bull;
Touch‑Based Digital Ordering
System
&bull;
Front End: C, .Net, Android
&bull;
Back End: Microsoft SQL Server
2008
DATA ENGINEER INTERN
The Venture Build
 May 2023 &ndash; Oct 2023 Austin
&bull;
Automotive Data Analysis
&bull;
Tools and Technologies:
Python, SQL, ETL (Mage), GCP,
Looker Studio
PRO JECTS
DIGIT RECOGNIZER
Academic Project
 sep 2022 &ndash; Dec 2022
A handwritten digit recognition using Machine Learning.
Technologies used:CNN,Augmentation,Hyper‑parameter tuning.
Link to GitHub repo:
https://github.com/hasna‑c/Digit‑Recognition
STOCK MARKET REAL-TIME DATA ANALYSIS USING KAFKA
Personal Project
 Feb 2023
I successfully completed a project that utilized Kafka for processing stock
market data. Using Python, I produced data and transmitted it to a Kafka
cluster for consumption. The data was then stored on Amazon S3 and
subsequently crawled to create a catalog. Finally, I analyzed the data using
Amazon Athena with SQL.
Technologies used:
1) Python
2) AWS(EC2,S3,Athena,Glue Crawler,Glue Catalog)
3) Apache Kafka
Link to GitHub repo:
https://github.com/hasna‑c/kafka‑project
SMOKING DETECTION SYSTEM
Personal Project
 Nov 2023
This project focuses on building a smoking detection system using a
meta‑learning approach. It utilizes a custom Vision Transformer (ViT)
model for feature extraction, addresses the curse of dimensionality
problem through Principal Component Analysis (PCA), and employs a
tuned XGBoost model for the final classification stage. The project is
organized into four key notebooks: data preparation, ViT feature
extraction, XGBoost classification, and model evaluation. Leveraged
TensorFlow&rsquo;s Mirrored Strategy for parallel processing, tf.data for efficient
data handling, and SHAP for feature explanation.
Link to GitHub repo:
https://github.com/hasna‑c/Smoking‑Detection
COM PETITIONS
WIDS DATATHON 2023
Central University of Rajasthan, Jaipur
 February 24, 2023
&bull; WiDS(Women in Data Science Community) Organized by the
Department of Data Science and Analytics at the Central University of
Rajasthan, Jaipur.
&bull; The competition focused on &rdquo;Adapting to Climate Change by
Improving Extreme Weather Forecasts.&rdquo;
&bull; Challenging competition that tested my skills in data analysis,
machine learning, and statistical modeling.
COU RSES AND CERTIFICATES
MACHINE LEARNING
Simplylearn Skillup
 Nov ‑ 2022
DATA USED IN FOOTBALL
AnalayiSport
 Jan ‑ 2023