Hi I'm Bhupesh

Data Scientist

On a mission to become The Most Inflenetial Data Scientist Ever. Proficeint as Data Scientist, Data Analyst and Machine Learning Engineer.

About Me

Bhupesh Singh Rathore

Hey there👋, I'm a soon-to-be graduate passionate about Data Science. I excel in Data Analysis, Visualization, and Machine Learning. Python is my go-to language for creating solutions that make a real impact. I'm a smooth operator when it comes to communication, conveying complex ideas with clarity and charm. Whether presenting insights or collaborating, I navigate effective communication effortlessly.

Fun Fact: When I'm not crunching numbers, you can find me shooting hoops on the basketball court or solving a challenging Sudoku puzzle.

My Journey

Education

Aug 2019 - June 2023

B. Tech. in Computer Science (8.8 cgpa)

Government Engineering College, BTU, Bikaner

➣ Debates, Speeches Winner in English & Hindi

➣ Class Runner-up in 4th Sem

➣ Class Representative for Computer Science Branch

Jan 2023 - Aug 2023

Data Science Master Certfication Course

Physics Wallah

Apr 2023 - May 2023

Google Advanced Data Analytics Professional Certificate

Google - Coursera

May 2022 - June 2022

How Google does Machine Learning

Google - Coursera

Mar 2023 - Apr 2023

Career Essentials in Data Analysis by Microsoft and LinkedIn

Microsoft - LinkedIn

2017 - 2018

Senior Secondary Education (92%)

Army Public School, Jodhpur

➣ PCM with Computer Science

➣ School English Topper

➣ Cluster Level Basketball Winner

2015 - 2016

Secondary Education (9.6 cgpa)

Army Public School, Jodhpur

➣ 10 cgpa in Science, Social Science

➣ Honored by His Highness Maharaja Gaj Singhji, Jodhpur

➣ District Basketball Runner-up

Experience

Aug 2022 - Mar 2023

Software Development and Data Analyst

Atlas Analytics, Singapore

➣ Accomplished a 30-35% increase in team efficiency, as measured by faster development and high-quality results, by collaborating with a cross-functional team of 5+ talented individuals worldwide.

➣ Contributed to the development of a SaaS application using a no-code tech stack & played a key role in creating automations, database structures, & platform design for a startup that handles over 10,000 interactions per month.

➣ Spearheaded the development of a key segment of the application, resulting in 50% increase in platform efficiency as assessed by the project leader, while also utilizing Google Data Studio to generate client reports.

➣ Improved the functionality of the application and enhanced the user experience for clients by conducting extensive research and testing on various third-party integrations, including WYSIWYG tools, Crisp chatbot, and others.

Jan 2021 - Aug 2022

Coordinator (Head)

Student Activity Center

➣ Demonstrated exceptional leadership by serving as the coordinator and head of the college's largest club/society, overseeing six sub-clubs, including the Software Society, Cultural Society, Art Club, Literary Club, Robotics Club, and Aero Club.

➣ Led and managed a team of 20 contributors to successfully plan and execute college fests and other events, achieving a 60% increase in event organizing rates, and significantly improving student participation rates through a collaborative team environment.

➣ Cultivated strong relationships with university authorities, faculty, staff, and students, fostering a collaborative community to support the organization's success, and transforming a struggling club into the largest organization on campus that is capable of organizing any event.

May 2021 - Sep 2021

Intern (Design and Research)

Garg Consultancy Co.

➣ Acquired valuable experience in team collaboration & gained insights into real-world corporate workings during my graphic design internship, while also mastering Adobe Creative Cloud, data visualization, and client communication.

➣ Successfully delivered high-quality design and research projects for renowned clients like Nissan and Right Side Story, resulting in improved design quality, enhanced company efficiency, and adeptly managing tight deadlines.

My Skills

Technical Skills

Python (Numpy, Pandas, Matplotlib, Scikit-Learn)90%

SQL (Querying, Database Management)75%

Tools (Tableau, Jupyter, VS Code, Collab)80%

Data Science Skills

Data Mining & Wrangling70%

Data Analysis (EDA and Feature Engineering)70%

Machine Learning 75%

Advance Data Science

Deep Learning (Tensorflow, Keras)40%

Computer Vision (OpenCV, Pillow)50%

NLP (NLTK, TextBlob)60%

Skills that might pay the Bills

Cloud & Database (AWS, GCP, MongoDB)55%

Web Development (HTML, CSS, Js, Flask)40%

Adobe Creative Cloud (Graphic Designing)70%

My Projects

Real Time Human Detection

Computer Vision

Utilized OpenCV and HOG Descriptor to create human detection that can work on images, videos and real-time cameras.

IPL Win Predictor

Supervised Machine Learning

Utilized supervised ML algorithm, Logistic Regression, to predict second inning winner by working on huge IPL dataset 2008-2021.

Tweets Sentiments Analysis

Data Analysis

Analyzed #JioCinema tweets while using Snscrape to scrape data, and performed sentiments analysis with NLTK and TextBlob.

Movies Recommender System

Supervised Machine Learning

Leveraged scikit-learn & cosine distance metric to recommend closely related movies from a large uncleaned dataset of IMDB.

Retail Store Webscraper

Data Mining

Built Lenskart store locations scraper using BeautifulSoup, saved results in CSV file and also a youtube scraper using Selenium.

Contact Me