I'm Priyanka Ojha

About Me

Hello! My name is Priyanka.

I am currently pursuing a master's in Computer Science at Arizona State University. Prior to this, I contributed as a Software Engineer at TCS Digital's Intelligent Automation team. There, I led the creation of an intelligent chatbot service for seamless personalized support. My proficient coding skills and eagerness for learning empowered me to excel in a condensed timeframe. With a fervent passion for Computer Science, I completed a transformative summer research internship at IIT Bombay, actively contributing to Face Detection and Recognition.

I eagerly anticipate commencing a dynamic and enriching career in software development, seeking out challenges that inspire growth and innovation. The sections below highlight my experience in Computer Science - and it is forever growing!

Download Resume

My Projects

                                                             
Research Paper Classification Using GCNs

  • Implemented Graph Convolution Networks (GCNs) on the Cora dataset, a graph dataset consisting of interconnected scholarly articles via links, to classify scientific papers, boosting classification accuracy from 73.16% to 83.52%.
  • Analyzed how GCNs utilize the relationships between articles to enhance the accuracy of scientific paper classification.

                                                             
SilkViser: Visualizing Blockchain Cryptocurrency Data

  • Designed SilkViser, a dashboard facilitating the exploration of Bitcoin cryptocurrency data through visualizations like coin glyphs, sankey charts, and choropleth maps, enhancing comprehension of transaction mechanisms and network relay activities.
  • Utilized HTML, CSS, JavaScript, and d3.js to build SilkViser, incorporating real-time API calls for up-to-date transaction data.

                                                             
Student Verification System

  • Developed an e-verification portal for the college which consists of an AI based attendance system and a verification panel.
  • Attendance system stores the attendance of the students in an excel sheet using face detection and recognition.
  • Verification panel helps in verifying and filtering students based on the criteria setup by companies participating in college placement drives.

                                                             
Face Recognition System

  • Studied and implemented Face Detection using Haar Cascade Classifier and Face Recognition using Eigenfaces and Invariant Scattering Convolutional Networks
  • Compared the results obtained by using Eigenfaces and the Scattering Networks approach and generated the ROC and CMC curves with 94% and 95% respectively
  • Worked on the LFW and Yale face dataset for the above implementations

                                                             
Result Processing System

  • Developed a Result Processing System website for the college in PHP that calculates and provides the result of a student semester wise in marksheet format.
  • Further connected the website with a database in Xampp server that stores the complete information of the student along with course details.

                                                             
Minutiae Extarction from Distorted Fingerprint Image

  • Studied about fingerprint classification and implemented it using python codes
  • Enhanced the fingerprint image using Gabor Filter, then applied thinning on the enhanced image and extracted minutiae (ridge bifurcation and ending points) from the thinned image for classification

My Resume



Education
2017 - PRESENT

2023 - PRESENT
Master's Degree - Arizona State University, USA                                                                                                         GPA: 4.0

Master of Science, Computer Science

Coursework: Foundations of Algorithms, Distributed Database Systems, Data Visualization, Data Mining, Fundamentals of Statistical Learning and Pattern Recognition, Knowledge Representation and Reasoning, Software Verification and Validation Testing, Applied Cryptography, Statistical Machine Learning

2017 - 2021
Bachelors Degree - Maharana Pratap University of Agriculture and Technology, India                                                                       GPA: 3.87

Bachelor of Technology, Computer Science and Engineering

Coursework: Neural Networks, Design and Analysis of Algorithms, Data Structures, Information Security, Operating System, Mobile Application Development, Compiler Design, Database Management Systems, Java Programming, Discrete Structures and Graph Theory, Computer Networks, Unix and Shell Scripting, Object Oriented Programming, Computer Architecture



Work Experience
2021 - 2023

2021 - 2023
Software Engineer (TCS Digital), Tata Consultancy Services Ltd., India

[Backend, MERN Stack]

  • Spearheaded the development of TCS Cognix, an intelligent chatbot service delivering seamless end-to-end customer support.
  • Achieved 90% accuracy in predicting disruptions, ensured 99.9% availability, and accelerated response times by 32%.
  • Devised and implemented a resilient user authentication framework utilizing the OAuth2 protocol across a spectrum of TCS client projects within the Intelligent Automation team.
  • Mentored 12 trainee associates in honing their skills across various areas such as Chatbot Development, User Authentication, Java, Spring Boot, and Spring Security.



Research Experience
2019 - PRESENT

2024 - PRESENT
Research Aide, Arizona State University - Tempe, Arizona, USA

Research Aide, Arizona State University

  • Led testing of a Gen AI chatbot, using test automation to resolve 95% of bugs and boost accuracy by 15%.
  • Analyzed client training data to optimize engagement strategies, resulting in a 20% rise in program revenue.

2019 - 2019
Summer Research Intern IIT Bombay - Mumbai, Maharashtra, India

Summer Research Intern, IIT Bombay (Under the guidance of Prof. Vikram M Gadre)

  • Successfully concluded the Internship Program endorsed by the MHRD, Govt. of India, as part of the TEQIP (KITE) initiative.
  • Proficiently executed Haar Cascade Classifier for Face Detection, as well as Eigenfaces and Invariant Scattering Convolutional Networks for Face Recognition.
  • Applied these methodologies on LFW and Yale face datasets, leading to robust analysis with ROC and CMC curves indicating remarkable 94% and 95% accuracy.

References

Indian Institute of Technology Bombay

"Priyanka is extremely smart, highly motivated, collaborative and a tidal wave of new good ideas with research focus. The innovative ideas she came up with while working together on research project, were phenomenal. She understands core machine learning concepts and techniques as well as how to use it in industrial application settings. Priyanka exemplified strong coding skills, and capability in deriving new algorithms and designing experiments to evaluate their pros and cons. Most of the times, her intuition in the domain is spot-on and she is very comfortable with processing tiny granular details while also caring about the big picture. Priyanka has my highest level of recommendation and I am absolutely sure that she will add tremendous value to any organization with her academic research excellence and professionalism. In short: brilliant mind, big heart:)"

Sanjay Shekhawat
Co-Founder & Head of Applied AI, Stealth Startup

Tata Consultancy Services

"I would recommend Priyanka for her exceptional skills and work as an Azure Developer and Live Chat bot Specialist. As a member of our team, Priyanka has demonstrated a high level of technical expertise and a commitment to delivering quality work.

Priyanka has developed a custom solution for one of our clients using Azure. Her work has included developing use cases and features that have gone above and beyond what was required, pushing the solution to its limits to ensure that it meets the client's needs. Her technical skills and attention to detail have been invaluable in delivering a solution that is both effective and efficient.

In addition to her technical skills, Priyanka has also demonstrated strong collaboration and communication skills. She works well on a team, communicating effectively and working with others to achieve shared goals. Her commitment to delivering results has been evident in her work. I highly recommend her for any position in this field and I am confident that she will deliver results and exceed expectations."

Rodrigo Lorenzo
Service Delivery Manager & Transformation Manager, TCS




My Certifications

Algorithmic Toolbox

issued by University of California San Diego through Coursera

Java Programming : Principles of Software Design

issued by Duke University through Coursera

Software Engineering Virtual Experience

issued by J.P. Morgan Chase & Co. through InsideSherpa

Data Structures and Performance

issued by University of California San Diego through Coursera

Problem Solving

HackerRank Skills Verification Test - Problem Solving issued by HackerRank                                                    





Some of my skills

95%
Java
90%
Python
75%
JavaScript
85%
Spring Boot
80%
C/C++
90%
Frontend Technologies
75%
Node.js
80%
Machine Learning
75%
Deep Learning
80%
Data Mining
70%
Cloud Technologies
85%
Databases

Platforms

Docker
80%
Maven
75%
GIT
85%
Microsoft Azure
85%
IDE (Netbeans, Intellij, Eclipse)
95%
ElasticSearch
85%
Tomcat
75%
Tensorflow
70%
Amazon Web Services
80%
PyTorch
75%

Accolades

SUN Award for exemplary service and leadership at ASU

Winner of TCS Xpedition

General Proficiency Award for scoring 10 CGPA in 10th

TCS Gems Star Team Award for outstanding contribution to the organisation

Get in touch.

Mail

priyankaojha228@gmail.com