Divyansh Goenka

Associate Consultant

Noida, Uttar Pradesh, India3 yrs 7 mos experience

Key Highlights

Developed AR/VR applications for cognitive training.
Created a heart disease prediction system using machine learning.
Strong analytical and leadership skills demonstrated in various roles.

Stackforce AI infers this person is a developer with expertise in AR/VR and machine learning applications.

Contact

Skills

Core Skills

Analytical SkillsLeadershipUnity EngineAugmented Reality (ar)Machine LearningPython (programming Language)

Other Skills

AR/VRActive ListeningAmazon Web Services (AWS)Application Programming Interfaces (API)BOOTSTRAPC#C++Cascading Style Sheets (CSS)Code ReviewCommunicationCustomer ExperienceDatabase Management System (DBMS)DebuggingEmbedded JavaScript (EJS)Express.js

About

Hi! I'm a Developer and Information Technology enthusiast who's curious in nature. I'm a fast learner and am interested in exploring opportunities involving learning about services and people. I am open to constructive feedback and am an optimistic person. I have good team-spirit and I can perform well under pressure as deadlines do not scare me.

Experience

3 yrs 7 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 11 mos

Current Experience

Ukg

2 roles

Solution Consultant I

Jul 2024 – Present · 1 yr 11 mos · Noida, Uttar Pradesh, India

CX Intern

Apr 2024 – Jun 2024 · 2 mos · Noida, Uttar Pradesh, India

Defence research and development organisation (drdo)

AR/VR Intern

Jan 2023 – Apr 2023 · 3 mos · Delhi, India · Hybrid

Built an AR/VR-based application for cognitive training and capturing insight of nature through 4 quizzes and games.
Utilized skills such as programming, game design, Unity, Vuforia, and AR-Core to design and implement 4 quizzes and
games.

Vuforia Augmented Reality SDKVirtual Reality (VR)Augmented Reality (AR)Unity EngineAR/VRDebugging+2

Iete

IETE Member

Oct 2022 – Jun 2024 · 1 yr 8 mos

Analytical SkillsCode ReviewCommunicationActive ListeningLeadership

Cureya

Technical Intern- Python Department

Oct 2021 – Dec 2021 · 2 mos · Remote

Modeled Heart Disease Prediction System using Machine Learning with Python and Jupyter Notebook with 80 percent
data trained and 20 percent data tested.
Implemented 4 algorithms of machine learning, data preprocessing, data training, data training and Logistic Regression.
Executed the project with 4 libraries, Numpy, Matplotlib, Pandas, Seaborn.
Accuracy of the system was 80 on a scale of 100.

Logistic RegressionMatplotlibMachine LearningPython (Programming Language)NumPyDebugging+1