Portfolio
Welcome to my online portfolio.
Here you will find past projects I have worked on categorized based on area of expertise. I am passionate about applications of machine learning and automation to solve complex problems in variety of domains.
Want to discuss a prospective project to colaborate?
- All
- Automation
- Machine Learning
- Computer Vision
- User Interface
- Web Development
Vehicle Lane Detection
Computer vision techniques to find lane markings on the road in a video stream.
Client: Udacity, Self Driving Car ND
Car Traffic Sign Classifier
Use deep neural networks and convolutional neural networks to classify traffic signs.
Client: Dropbox
Advance-Lane-Finding
Software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
Client: UDACITY, Self Driving Car ND
Vehicle-Detection and Tracking
Software pipeline to identify vehicles in a video from a front-facing camera on a car.
Client: UDACITY, Self Driving Car ND
Tracking-with-Extended-Kalman-Filter
Utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.
Client: UDACITY, Self Driving Car ND
Unscented-Kalman-Filter-for-object-tracking
Estimate the state of a moving object of interest with noisy lidar and radar measurements.
Client: UDACITY, Self Driving Car ND
Sparse-Localization-Using-Particle-Filter
Implement a 2 dimensional particle filter in C++. You'll build a particle filter and combine it with a real map to localize a vehicle.
Client: UDACITY, Self Driving Car ND
PID-Control-Project
Implement a PID controller in C++ to maneuver a vehicle around the track.
Client: UDACITY, Self Driving Car ND
MPC-Control-Project
Model Predictive Control to drive the car around a track.
Client: UDACITY, Self Driving Car ND
Highway-Path-Planning
Create a path planner that is able to navigate a car safely around a virtual highway.
Client: UDACITY, Self Driving Car ND
Semantic-Segmentation
Label the pixels of a road in images using a Fully Convolutional Network (FCN).
Client: UDACITY, Self Driving Car ND
SDCND_system_integration
This is the capstone project in the Udacity's SDCND.
Client: UDACITY, Data Analyst ND
Wrangle-and-Analyze-Data
Wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations.
Client: UDACITY, Data Analyst ND
Communicate-Data-Findings-Prosper-Loan-Dataset
Perform univariate, bivariate and multivariate analysis on factors affecting borrower’s APR interest rate.
Client: UDACITY, Data Analyst ND
Investigate-TMDB-Movie-Dataset
Use numpy, pandas and matplotlib to investigate a dataset.
Client: UDACITY, Data Analyst ND
Analyze-A-B-Test-Results
Analyze A/B test run by an e-commerce website.
Client: UDACITY, Data Analyst ND
Face-Generation
Use Generative Adversarial Networks(GAN) to generate new images of faces.
Client: UDACITY, Deep Learning ND
Language-Translation
Machine translation using neural network. Training a sequence to sequence model for English and French.
Client: UDACITY, Deep Learning ND
Tv-Script-Generation
Generate TV script for Simpsons using Recurrent Neural Networks(RNNs).
Client: UDACITY, Deep Learning ND
BikeSharePrediction
Predict the number of bikes required for bike share rides such that none are wasted.
Client: UDACITY, Deep Learning ND