Prashant Nigam
Senior Data Scientist
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolPrashant Nigam is a Senior Data Scientist with nine years of experience applying machine learning and computer vision to product and client problems, currently working at SYMX.AI after senior roles at Animall and founding a NeRF-focused startup for jewelry imaging. He blends production ML engineering with open-source craftsmanship—contributing algorithms and data-structure implementations to large community projects like OpenGenus/cosmos—and has a track record mentoring newcomers through Google Code‑In and ML study jams with Google. Comfortable across CV components, NeRF pipelines, and backend algorithm development, he moves models from research prototypes to client-delivered solutions as a freelance and in-house engineer. An active community organizer in Gurugram, he regularly runs meetups and workshops to share practical ML skills, reflecting a strong commitment to teaching and collaboration.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (BTech) Communication and Computer Engineering, Bachelor of Technology (BTech) Communication and Computer Engineering at The LNM Institute of Information Technology
English, Hindi, French
Stackoverflow
223reputation
12kreached
11answers
1question
Github Skills (20)
algorithms10
python10
dijkstra10
c1110
data-structure10
c1710
binary-search-tree10
data-structures10
sorting-algorithms10
c-language9
cprogramming-language9
algorithm8
boxplot6
deep-learning6
lstm6
Programming languages (9)
Github contributions (5)
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Backend Developer
Backend DeveloperContributions:11 commits, 6 PRs, 8 comments in 3 days
Contributions summary:Prashant contributed to the repository by implementing various algorithms and data structures. They created implementations of Dijkstra's Algorithm in C, a Binary Search Tree in Python, and a Sleep Sort algorithm in both C and Python. Additionally, the user implemented a Leftist Priority Queue in C++. Their work focused on foundational computer science concepts within the context of an open-source code dataset.
datastructuresinternshipcontributordatasetopengenus
prashant0598/Face-Recognition
Sep 2017 - Mar 2019
Face Recognition Project made in Machine Learning using KNN algorithm and open cv for python
Contributions:15 commits, 1 PR, 9 pushes in 1 year 6 months
pythonknn-algorithmopen-cvface-recognitionrecognition
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