Divya Chauhan
Continuously striving for excellence, fast-learner, critical thinker & adaptive
11 mos
System Engineer
Tata Consultancy Service
Immediate
National Institute of Technology (NIT), Warangal
Summary
I continuously strive for excellence. I am highly self-motivated, fast-learner, critical thinker & adaptive. I want to apply my knowledge of web-development & data science to work on challenging projects & make successful impacts for the growth of the company.
Skills
1 - 3 yrs
Bash
Git
0 - 1 yrs
Agile Methodologies
Amazon EC2
C++
CSS
Flask
Java
JavaScript
Jupyter Notebook
MySQL
NumPy
ORM
pandas
Python
RDBMS
Seaborn
SQL
TensorFlow
Unix Shell (sh)
Career Journey (11 mos)
Movies Search
Aug 2020 - Present
•6 mos
Description:
" When a keyword is typed in the search box then all the movies related to that will be displayed along with there official poster"
· Hosted a full web stack microservice implemented using Angular, Node.js, Express.js.
· The project is running at https://omdb-api-impl.tk
· Technology involved - AWS EC2 Ubuntu 20.04 image instance, Elastic IP load balancer, DB sharding, Virtual Hosting through Apache V2, Confd Configuration, MYSQL setup, GitHub, DNS Configuration.
Microservice, AWS EC2, Angular, Node.js, Express.js
National Institute of Technology (NIT), Warangal
B. Tech
Aug 2016 - Aug 2020
•4 yrs
Projects (2)
Skills
Python
C++
Java
Amazon EC2
RDBMS
Unix Shell (sh)
SQL
Specialization
Degree: B. Tech
Category: Chemical
PROJECTS (2)
Unbeatable Tic Tac Toe | Simon Game | Basic Calculator | Pomodoro app
Jan 2018 - Feb 2018
•1 mo
Description
- Tic Tac Toe Game - Used Minmax algorithm, JavaScript, HTML & CSS to build the project.
- Simon Game - The user has to follow the same pattern as shown by the game level to reach the next level & a new random step gets added to increase the difficulty level. Used JavaScript, HTML & CSS to build the project.
- Pomodoro App - https://divya661.github.io/pomodoro-app.github.io/
- Basic calculator - https://divya661.github.io/Basic-Calculator.github.io/
Skills (2)
CSS
JavaScript
Predicting Credit Card Approval
Jul 2020 - Jul 2020
•1 mo
Description
· Handled missing values in dataset & data is pre-processed.
· Logistic Regression model is fitted & trained on the dataset using scikit-learn library.
Evaluated confusion matrix & model performance is improved using GridSearchCV & hyperparameters are tuned
GitHub Link: https://github.com/divya661/predicting-credit-card-approval
Skills (6)
Jupyter Notebook
Python
Seaborn
TensorFlow
NumPy
pandas
More
Certificates (11)
Campus Ambassdor•DBMS•Machine Learning•Supervised Learning in Python•Machine Learning with Tree-Based Models•Unsupervised Machine Learning•Statistical Thinking in python•Data Visualization with Matplotlib•Data Visualization with Seaborn•Cleaning Data in python•Data Manipulation with Pandas
Hobbies (1)
Origami
Languages (2)
English•Hindi
Personality
Nothing specified