Abhishek Kumar

@abhishekkumar3948

Data Scientist

Bangalore, Karnataka

https://www.linkedin.com/in/abhishek-kumar-1270a81a6/

JK TechNational Institute of Technology Silchar

Abhishek Kumar is a Data Scientist specializing in time series forecasting and process optimization. His expertise includes utilizing advanced prediction algorithms like Gradient Boosting and Xgboost. He has experience developing comprehensive systems, including automated Generative AI platforms and knowledge graph integrations. He is proficient in deep learning frameworks and various computer vision techniques.

Experience

Consultant - Data Science

JK Tech

Consultant•Jan 2023 - Present•Bangalore, India

Developed a comprehensive system for managing and addressing medical claim denials effectively within a healthcare organization. Achieved aims of reducing revenue loss, improving the claim processing efficiency, and enhancing of the overall financial health of the organization by implementing a robust denial management system. Developed JARVIS (POC): Automated Generative AI Platform, and JIVA (POC): Enterprise Knowledge Explorer (In collaboration with GOOGLE).

Machine Learning Engineer

LivNsense Technology Pvt. Limited

•Jun 2021 - Dec 2022•Bangalore, India

Focused on detecting small caps and tape on engines prior to the paint shop stage using advanced object detection models (SSD InceptionV2, YOLOv5, EfficientDet), achieving 98%-100% accuracy. Also worked on quality inspection of airbags and optimizing CO levels in the cement industry.

Education

National Institute of Technology Silchar

M.Tech in Computer Science and Engineering

Computer Science and Engineering

Jan 2019 - Jan 2021•Grade: CGPA: 7.94

Licenses & Certifications

Deep Learning Specialization

Coursera

• No expiration

The complete Machine Learning course with Python

Udemy

• No expiration

Skills

Python

Deep Neural Network

CNN

Auto Encoders

RNN

LSTM

GRU

Image Processing

Image Classification

Computer Vision

Object Detection

Faster R-CNN

YOLO

EfficientDet

SSD InceptionV2

OpenCV

EDA

PCA

Linear Regression

Logistic Regression

Support Vector Machine

Decision Tree

Ensemble Models

Random Forest

K-Means Clustering

Hierarchical Clustering

Gradient Boosting Algorithm

Density Based Clustering

L1/L2 regularization

Time-Series forecasting

Transformer

BERT

LLM models

Prompt Engineering

LangChain

Neo4j

Knowledge Graph

RAG

GenAI

TensorFlow

Keras

PyTorch

Numpy

Pandas

Matplotlib

Scikit-learn

Git

SQL

Data Structure

Algorithm