Christ University Road, 30 Valor Court At Post: Dasve Lavasa,Taluka: Mulshi Pune 412112, Maharashtra.

Focus : Sports Analysis, Data Analysis, Data Cleaning, Exploratory Data Analysis (EDA)

Specifications : Machine Learning, Data Analysis

Languages

Python, SQL(MySQL), Java (Basic), HTML, CSS, JavaScript,

Hobbies

Badminton enthusiast, Cricket fan, Music lover


Summary

I am Siddharth Nautiyal from Dehradun, also known as Devbhumi. I am a data practitioner currently pursuing an MSc in Data Science at Christ Pune Lavasa. I have a passion for badminton and have developed strong skills in Python, SQL, Django, Google Analytics, and Google Tag Manager. My focus is on data analysis to uncover valuable insights and drive effective solutions.


Education History

Secondary Education - 84 %
2016-04 / 2017-05
New Doon Blossoms School Dehradun
Higher Secondary Education - 84 %
2018-04 / 2019-05
New Doon Blossoms School Dehradun
Bachelors in Science(BSc) PMS - 59 %
2019-07 / 2022-08
D.A.V. Post Graduate College Dehradun
Masters in Science(MSc) Data Science - 69 %
2023-08 / 2025-07
CHRIST (Deemed to be University), Pune Lavasa Campus - 'The Hub of Analytics'

Projects

FIT4JOB
2024-09 / Present

Currently developing, an ATS Job Description and Resume Matching Web Application using Django. The project aims to streamline the hiring process by enabling HR users to post jobs and job seekers to apply efficiently.

 

GitHub Link

LET US DREAM– Live Project
2024-05 / 2024-07

Performed Data Analysis for the "Let Us Dream" Global Organization's Triennial International Conference 2023 by analyzing feedback and outcomes using Python and Excel. Presented insights from the data analysis to help assess the conference's impact.

 

Certificate

 

LOST AND FOUND WEB APPLICATION
2023-12 / 2024-02

Developed the Lost and Found Web Application for students of Christ (Deemed to be University), offering a user-friendly platform for reporting lost items and searching for found ones. It simplifies the process, minimizing the need for students to physically visit the lost and found department. The application is developed with a Django backend, MySQL database, and a frontend using HTML and Bootstrap CSS.

 

GitHub Link

ANALYSIS OF STUDENTS’ LIFE EXPERIENCE AT LAVASA
2023-09 / 2023-10

Explored student life at the Lavasa campus, focusing on the balance between academics and extracurricular activities. Collected data on students' experiences and used Python and Excel for Exploratory Data Analysis (EDA), revealing insights to improve management strategies.

 

GitHub Link