John Doe
First description
Second description
View My LinkedIn Profile
A Computer Science Geek
I am a final year Computer Science Undergrad from Zakir Hussain College of Engineering and Technology ,Aligarh Muslim University. I like Solving Puzzles and Brain Teasers in my free time. An avid Competitve Programmer with 4 stars on Codechef and Specialist on Codeforces the zeal to excel and learn and imporve everyday. I go by the username stunn_areeb09 on most Competitive sites. Apart from that ,I like Building Scalable and Efficient Solutions utilizing my existing learned knowledge :). I am a self motivated individual and team player with passionately curious attitude to learn and grow in the Software Industry. Looking to work in a Good and Healthy environment on challenging projects. I am always open to discuss new opportunities ,I also like meeting new people and exchange ideas and thougths with them :)
Languages with expertise
- C++ ( 4.5 / 5 ) ( Personel Favourite ( First one is always special !! ) )
- Python ( 4 / 5 )
- Javascript ( 3 / 5 )
- C ( 4 / 5 )
- HTML ( 4 / 5 )
- CSS ( 2 / 5 )
Frameworks and Libraries Known
- Django
- Django Rest Framework
- React.js
- Bootstrap
- Scikit - Learn
- Tenserflow
- Keras
- Pandas
- Numpy
- Matplotlib
- Seaborn
- NLTK
- Wordnet
- SentiwordNet
- Time series Analysis
Work Experience
Software Development Intern at Optum (UnitedHealth Group)
- The internship was remotely held.
- Developed a Blog application where users can post ,update ,delete and view blogs written by different users into 3 different categories of Business ,Entertainment and Sports as a part of the Internship.
Python ,Django ,React.js ,Javascript ,HTML5 ,CSS3 ,Bootstrap3 ,Django Rest Framework
Machine Learning Intern at Terra.AI
- Remote internship
- Worked on prediction of Customer Lifetime Value from various qualitative and quantitative features provided in a dataset.
- Worked on Vehicle Speed Estimation using Open-CV ,Kalman Filter and Hungarian Algorithm.
Python ,Machine Learning
Projects
Product Review Analysis
- Achieved an accuracy of more than 90%.
- Implemented Product Review Analysis (Sentiment Analysis) of Reviews from the E-commerce websites ,classifying a Review as Positive ,Negative or Neutral.
- Implemented Lexicon (Rule) based Analysis treating every positive and negative sentiment with their respective scores and adding them to obtain the overall sentiment of a sentence.
- Converted the tokens carrying vectors thereby giving them some valid values using Count vectoriser and applied various Machine Learning algorithms like Linear SVC(SVM) , Random Forests and Logistic regression.
- In Deep Learning Approach used CNN Bidirectional LSTM with the sequence model as - Conv1D -> Conv1D -> Conv1D -> MaxPooling1D -> BidirectionalLSTM -> Dense -> Dropout -> Dense -> Dropout -> Dense -> Dropout -> Output.
Python ,Machine Learning ,Deep Learning
COVID-19 (DISEASE) SPREAD ANALYSIS
- Did a Predictive and Visual Analysis of the spread of the disease using various Time Series Algorithms as a part of an Online Hackathon at Codechef in April 2020.
Python ,Machine Learning
Generating Hand Written Digits Trained via MNIST Dataset
- Implemented a GAN for Generating Handwritten Digits trained via MNIST dataset.
Python ,Deep Learning
Education
- Zakir Hussain College of Engineering and Technology (Aligarh Muslim University), Aligarh — B.tech (Computer Engineering) (2017 - 2021)
CPI - 9.401
- New Horizon School, New Delhi — 12th 2017
94% (Computer Science - 94/100)
Certificates and Awards
Snackdown 2k19
Overall Performance at Google Kickstart 2020
Hack AMU 2k19
Data Analytics and Machine Learning Under TEQIP - 3
CourseWork
- Software Development
- Data Structures and Algorithms
- Object Oriented Programming
- Analysis of Algorithms
- Software Engineering
- Operating Systems
- Database Management Systems
- Computer Networks