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NISHANT SINGH

@nishant_singh

Machine Learning Engineer at Quantiphi

Bangalore, Karnataka

https://github.com/Nrohlable

QuantiphiDayananda Sagar College [VTU]

Nishant is a business-minded data scientist skilled in data analytics and advanced data-driven methods. He has a demonstrated ability to deliver valuable insights, advising on global growth, customer loyalty gains, and record-setting profit improvements.

Experience

Machine Learning Engineer

Quantiphi

Invalid Date - PresentBangalore, Karnataka

Working for one of biggest chain of Amusement parks for Safety Standards using Computer vision tasks such as Object Detection, Pose Estimation, and Action Recognition etc. Optimizing the Inferencing pipeline using Tensor-RT for low latency inference speeds at runtime. Dockerizing Model Training through AWS Sagemaker in order to run Training jobs in AWS and monitor logs through Cloudwatch and Hyperparameter Tunnig for Sagemaker Exposed Hyper parameters. Creation of Labelling jobs for Objection Detection, Object Tracking, Polygons, keypoints etc. through AWS GT and Image Data preprocessing pipelines in order to standardize the process for Model Training Input.

Data Scientist

Decision Point Analytics

Invalid Date - Invalid DateGurugram, Haryana

Worked on Time Series – Sales and Demand Forecasting for various CPG and FMCG Clients along with price elasticity for Share Gain Opportunities.

Analyst - Data Science

Self - Employed

Invalid Date - Invalid DateKolkata, West Bengal

Worked as a Data Analyst for some jewelers association in Kolkata and provided them insights regarding their business. Developed skills in Machine Learning and Deep Learning in various aspect such as Classification, Regression, Clustering and implemented Various projects in these fields as well.

Associate Software Engineer

ACCENTURE

Invalid Date - Invalid DateBangalore, Karnataka

Trained for various ML and Deep Learning Methodologies. Applied Various Pre-processing Techniques followed by ML Model on various Banking related data. Insights regarding deployment of model using Flask Framework. Worked on Various Industry standard models such as Attention, Bert-NLP, LSTM and etc.

Education

Dayananda Sagar College [VTU]

B.E.

Aeronautical Engineering

Jan 2017 - Jan 2017Grade: Graduated with Distinction obtaining 75.4%

Licenses & Certifications

Keras Certification for Custom Callbacks

coursera.org

• No expiration
View Credential

CutShort Machine Learning Certificate

• No expiration
View Credential

CutShort Python Certificate

• No expiration
View Credential

Fundamentals of Accelerated Computing with CUDA Python

• No expiration
View Credential

Skills

Machine Learning
Logistic Regression
SVM Kernel
XGBOOST/LightGBM
Random Forest
Naive Bayes
Decision Trees
NLP
Clustering
Scikit Learn
Ensemble Modelling
Dimensionality Reduction
PCA
t-SNE
Matrix Factorization
Python
Basics of C
C++
JAVA
Tensorflow
Keras
AWS
Linux
Git
Tensor-RT Model Optimization
Deep Neural Network
BackPropagation
CNN
Object Detection
Image Segmentation Models
UNET
CaNET
Action Recognition
Anomaly Detection
Object Tracking
GAN’s
Pose Estimation
Image Classification Modelling
Hadoop
MapReduce
PySpark
MLlib
MySQL
Inference Pipeline Creation
NVIDIA Numba Library
Time-Series Forecasting
AR
MA
ARMA
ARIMA
VAR
ARIMAX
Seasonal ARIMA
LSTM
Tokenisation
W2V
Embedding
Padding
Part-of-Speech Tagging
Sentiment Analysis
Transformers- BERT
BOW
TFIDF
Regex
Attention
Sagemaker Training
ECR Repositories
EC2 Instance
Ground Truth Labelling
S3