Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Nishant Singh

Gurgaon

Summary

Seasoned data scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing several years of related experience strengthening company operations.

Overview

7
7
years of professional experience
1
1
Certification

Work History

Lead Data Scientist

Vmock
Gurgaon
08.2024 - Current
  • Led the Resume Parser, JD Parser, and Optimiser team, mentoring junior data scientists across multiple projects, impacting 250+ clients globally.
  • Built a centralized GenAI service for resume parsing, grammar correction, and interview feedback using Langchain, with a daily traffic of around 100k+.
  • Developed tailored solutions for 250+ universities and staffing organisations, including resume and cover letter generation with .
  • Engineered an in-house PII redaction system to sanitize sensitive data and ensure client privacy with 97.5+% accuracy across entities like name, address, phone number, etc.
  • Created an AI agent framework utilizing the Google ADK to simulate a career coach chatbot, guiding candidates to increase user engagement.

Associate Lead Data Scientist

ShadowFax
Bangalore
07.2022 - 08.2024
  • Developed OCR pipeline achieving approximately 98% accuracy in extracting entities from government records.
  • Created a face verification system utilizing Siamese networks to enhance fraud detection, leading to a 60% reduction in fake logins over the app.
  • Implemented an automated entity recognition engine to address customer address patterns and streamline pincode updates for over 18,000 pincodes.
  • Designed a geocoding engine based on 50M+ customer address data using embedding representation and VectorDB, which covers 70% of addresses across pan India, and 85% in metro cities.
  • Launched On-spot Runsheet Creation and Order Auto allocation through Geocoding Engine in top metro cities leading to a Reduction in Rider-Hub wait time by 30% and increased Order Assignment from 75% to 78%.
  • Established pipelines and custom training jobs on GCP's Vertex AI platform for daily-level analyses of fraud cases.
  • Built Workflow Orchestration using Prefect, optimizing data transformation flows and managing Docker images.
  • Guided team on business use cases including rain classification, Entity Extraction, Color detection in collaboration with Data Science Team.

Machine Learning Engineer

Qunatiphi
Bangalore
04.2021 - 07.2022
  • Built and deployed advanced computer vision systems, which include object detection, image segmentation, and action recognition—for real-time safety. Delivered 98.5% Precision and 99% Recall, allowing automated detection of 80% of visitor safety issues, which drove a major increase in site compliance and risk reduction.
  • Implemented object tracking with DeepSort and anomaly detection using GANs in PyTorch on AWS SageMaker.
  • Optimized inference pipeline utilizing TensorRT, leading to a 45% latency reduction with minimal reduction in model performance.
  • Dockerized data preprocessing, model training, monitoring, and hyperparameter tuning pipelines on AWS SageMaker to streamline the entire development process.
  • Monitored training jobs through AWS CloudWatch to ensure operational efficiency for a pipeline handling over 50k+ visitors on a daily basis.
  • Created labeling jobs for object detection, tracking, polygons, and points via AWS Ground Truth for over 2M+ frames through subsampling.

Data Scientist

Decision Point Analytics
Gurgaon
03.2021 - 04.2021
  • Executed Time Series–Sales and Demand Forecasting for 10+ CPG and FMCG clients, emphasizing price elasticity for Share Gain Opportunities.

Analyst Data Science

Self Employed
Kolkata
02.2019 - 02.2021
  • Conducted data analysis for jeweler's association in Kolkata, generating sales forecasts across various 50+ SKUs using Time Series analysis.
  • Acquired proficiency in Classification, Regression, and Clustering algorithms through implementation of diverse Machine Learning and Deep Learning projects.
  • Developed image segmentation solutions utilizing UNET, CANet, and FPN architectures for RC car systems with 0.95 IOU.
  • Engineered an obstacle detection system for ride paths in RC cars to enhance navigation capabilities.

Associate Software Engineer

Accenture
Bangalore
02.2018 - 01.2021
  • Trained in multiple machine learning and deep learning methodologies.
  • Applied diverse pre-processing techniques followed by machine learning models to banking-related Customer Queries data.
  • Gained insights on deploying models using Flask framework.
  • Worked with industry-standard models, including Attention, BERT NLP, and LSTM.

Education

B.E. - Aeronautical Engineering

Dayananda Sagar College
01.2017

Skills

  • Machine Learning
  • Generative AI
  • Clustering
  • Ensemble Modeling
  • Dimensionality Reduction
  • Computer Vision
  • Anomaly Detection
  • Tensor-RT Model Optimization
  • NVIDIA Numba Library
  • Embedding Representation
  • Sentiment analysis
  • VectorDB (ANN)
  • Large language model
  • Model deployment
  • Workflow orchestration
  • Mentoring
  • Team leadership
  • Optimization techniques
  • Natural Language Processing
  • AWS SageMaker and GCP Vertex AI

Certification

  • Keras Certification for Custom Callbacks
  • CutShort Machine Learning Certificate
  • CutShort Python Certificate
  • Accelerated Computing with CUDA Python

Timeline

Lead Data Scientist

Vmock
08.2024 - Current

Associate Lead Data Scientist

ShadowFax
07.2022 - 08.2024

Machine Learning Engineer

Qunatiphi
04.2021 - 07.2022

Data Scientist

Decision Point Analytics
03.2021 - 04.2021

Analyst Data Science

Self Employed
02.2019 - 02.2021

Associate Software Engineer

Accenture
02.2018 - 01.2021

B.E. - Aeronautical Engineering

Dayananda Sagar College

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Nishant Singh