Hello, I'm Aditya Lalchandani. I'm a recent graduate with my Master's in Computer Science. I'm currently looking for full-time opportunities in Software Engineering. Please feel free to connect with me.

Long Beach, CA 90815 | +1 562-387-7796

Experience

IT Intern

Los Angeles Unified School District June 2019 - May 2020

  • Analyze business requirements, collaborating with business end users, and multiple tasks and support in creating BI reports
  • Develop BI reports using the requirements mentioned in BRD
  • Performance based debugging and enhancements with 90% accuracy in the bug fix
  • Deploy dashboards and framework with responsive design
  • Contribute to sprint meets, keeping assigned TFS tickets updated with daily development

Graduate Teching Assistant

California State University, Dominguez HillsNovember 2018 - May 2019

  • Helped the students with their curriculum in Math as an assistant to a math instructor.
  • Major responsibilities include extra assistance to students that require help and conduct short tests to check the understanding of each concept.

Software Development Intern

Otris SolutionMay 2018 - July 2018

  • Built, optimized and delivered high quality and high-performance features for mobile SDKs using Android
  • Contributed to sprint planning and execution, keep JIRA tickets updated with development progress

Software Development Intern

MTAJ SolutionsDecmber 2017 - April 2018

  • Assist software developers by analyzing user needs and designing software solutions
  • Redesign the web application including 60% front-end and 40% back-end
  • Executed several projects and worked closely with business leaders directly for requirement gathering, design review and testing

Education

California State University, Dominguez Hills May 2020

MS Computer Science

GPA:3.7

Gujarat Technological University May 2018

BS Computer Engineering.

GPA:3.0

Skills

Programming Languages.

C, C++, Java, Python, JavaScript

Technologies and Frameworks

Android, Computer Vision, AWS, Docker, MATLAB, Git, REST, Linux, Jira, Microsoft TFS, Oracle BI, Trello, ERP

Databses and Data Analysis tool

SQL, NOSql, MySql, Data Warehousing, ETL ,Tableau, Power BI

Libraries

TensorFlow, NumPy, Matplotlib, Flask

Projects

Parking Lot Detection
  • Detecting parking spots using haar-cascades, real-time dataset and canny edge detection. Deployed on NVidia Jetson Nano
  • Vision based space driven method using background subtraction algorithm for spot detection with 94% - 98% accuracy
  • Trained a dataset to detect cars from all angles using 1500 positive and 1000 negative inputs. The accuracy of car detection is 90%
  • The model uses a recorded video or live camera feed. The bounding box makes the detection of parking spots in each frame accurate
Image Classification Cats-vs-Dogs
  • Aim: Classic dog vs cat problem using tensorflow
  • Model trained with 4000 images, batch size 200 in 20 epochs using ResNet data model with 92% accuracy
  • Webpage visualization using Flask
Power Saving using Image Processing
  • Property light monitoring using web-cam and human detection using openCV
  • The hardware is configured on Raspberry pi 3, programming with MATLAB
Tweet Analysis using ELK Stack
  • Data mining of live tweets using Twitter API and Elasticsearch
  • Logging of the extracted data using Logstash
  • Data Visualization on Kibana dashboard with a .csv downloadable file
Event Management System
  • Created a web portal to organize events at the university
  • Created a mysql database to store the data

Certifications

Software Development Life CycleJune 2020

Data Science FoundationsJune 2020

ElasticsearchJune 2020

Oracle Database 12cJune 2020

Deep Learning:Image RecognitionMay 2020

Data Analysis with PythonJune 2019

Amazon Web ServicesJan 2019