Data Science Aspirant
Download Resume
Data Science Aspirant
Download Resume
Hello there! I'm a Data Science enthusiast currently pursuing my studies at Christ University, Lavasa, Pune. Originating from Kerala, my academic journey has led me to different parts of the world, shaping my diverse perspectives and approach to life.
I find joy in navigating the complexities of logic at the intersection of mathematics and analytics. My focus revolves around programming and any technology involving data, showcased by the development of this portfolio as part of my Full Stack Web Development Course. While algorithms and datasets drive my professional pursuits, I also relish the simple joys of life. When I'm not buried in datasets, you can find me snuggled up up with a good book.
I'm actively seeking my first opportunity to apply the skills I've developed as well as enhancing them. I'm ready to contribute to projects that harness data for meaningful outcomes. If you're looking for a professional who seamlessly blends technical skills with a steadfast passion for learning, or even someone to discuss anything data science, I'm excited to connect and explore potential opportunities together.
Christ (Deemed to be) University, Pune Lavasa Campus
M.Sc Data Science | Expected Graduation 2025
GPA : 3.9/4
Madras Christian College, Chennai
B.Sc Mathematics
GPA: 8.9/10
GEMS Our Own English High School, Al Ain, UAE
Grade 12 (CBSE): 94.4%
Grade 10 (CBSE): 94%
Python
Microsoft Excel
R Programming
C++
SQL
HTML
CSS
JavaScript
Django
Java
Communication
Critical Thinking
Problem Solving
Research
Data collected from a questionairre was used to analyse the mental health trends among students.
Tools used: Python Seaborn,Pandas & Matplotlib. Excel Pivot Tables,Slicers,Charts & Dashboard
This project is a Python-based customer management system
that provides functionalities for creating new customer accounts, editing customer details,
checking loan eligibility, and handling foreign exchange (forex) transactions.
The system also includes an age analysis feature for customer demographics.
Techniques used: Data Analysis, File I/O, User Interaction,
Data Validation,
Looping and Conditional Logic,
Random Number Generation,
String Manipulation
We created a Django full stack web app where students view menu of the various canteens catering to them in their university.
Separate modules for vendor interface and admins were also created. Each type of user is provided with detailed analysis of the data that they generate.
Techniques used:Django, Full Stack Web Development, ER Diagram, Database Creation, Data Analysis
Analyze the 2006-2021 trends of grid-connected
renewable energy capacity in India through data visualization,emphasizing regional dynamics and growth
patterns of energy sources. The dataset obtained from the NDAP (National Data Analytics Portal) of India spans
from 2006 to 2021 and provides a
comprehensive overview of grid-connected renewable energy capacity across various states.
Libraries used: JFreeCharts
As part of the 30-Days ML Challenge initiated by Data Scientist Meri N,
we created a machine learning model for Predictive Maintenance of machines. This approach enables timely maintenance actions, minimizing downtime and maximizing asset lifespan.
This approach enables timely maintenance actions, minimizing downtime and maximizing asset lifespan.
The dataset used was the C-MAPSS dataset from NASA.
A number of ML Algorithms like Random Forests, XGBoost,Gradient Boosting, MLP,LSTM, and LSTM+CNN were explored.
comprehensive overview of grid-connected renewable energy capacity across various states.
Libraries used: sklearn, XGBoost,Tensorflow
