Ravindra Kumar

Data Scientist

Gurugram, Haryana, India5 yrs 5 mos experience
Most Likely To Switch

Key Highlights

  • Expert in Machine Learning and Deep Learning solutions.
  • Proven track record in fraud detection and data analysis.
  • Strong background in Computer Vision and NLP projects.
Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Computer Vision across various industries.

Contact

Skills

Core Skills

Data ScienceMachine LearningComputer VisionNatural Language Processing

Other Skills

AWD-LSTMAlgorithmsAutoCADBERT (Language Model)BigQueryBusiness DevelopmentC (Programming Language)C++CQlComputer-Aided Design (CAD)Constastive Language-Image Pretraining Model (CLIP)Data AnalysisData StructuresDataBricksElasticsearch

About

Worked on developing Computer Vision and Natural Language Processing driven solutions. Passionate about solving real-world problems using Machine Learning and Deep Learning. Contact at: ravindrakumar.iitkgp@gmail.com

Experience

5 yrs 5 mos
Total Experience
1 yr 1 mo
Average Tenure
1 yr 10 mos
Current Experience

Times internet

Data Scientist

Aug 2024Present · 1 yr 10 mos · Noida, Uttar Pradesh, India

Housing.com

Data Scientist

Sep 2022Jul 2024 · 1 yr 10 mos · Gurugram, Haryana, India

  • 1. Duplicate Image-listings Detection System
  • Integrated a comprehensive duplicate listings detection system based on price, area, location and similarity score between
  • Image Embeddings generated by Constrastive Language-Image Pretraining Model (clip-ViT-B-32).
  • Employed multiprocessing for compute-intensive and multithreading for I/O-based tasks to optimize system efficiency.
  • Achieved notable reduction in duplicate listings on the platform, improving the overall customer experience.
  • 2. Fraud Detection System | SoldOut Property Detection System
  • Collected listing attributes and user behavior click stream data from BigQuery using SQL queries in Databricks.
  • Developed classification models XGBoost and Random Forest, achieving 86% precision and 84% recall for fraud detection.
  • Implemented End-to-End pipelines for model deployment and conducted data drift experiments to maintain performance.
  • Achieved 81% average reductions in fraudulent activities over the following 3 months on platform, earning recognition
  • with an excellence award.
XGBoostRandom ForestSQLConstastive Language-Image Pretraining Model (CLIP)MultiprocessingMultithreading+4

Innoplexus

Associate Data Scientist

Aug 2021Sep 2022 · 1 yr 1 mo · Pune, Maharashtra, India · On-site

  • Network simulations to predict set of potential genes of maximum influence in a biological system
  • Built a multistart adam optimization model applying heat diffusion algorithm for network propagation to predict the set of most influential genes/DEG’s responsible in a disease condition using Igraph and PyTorch frameworks.
  • Visualized the pathway’s nodes and their relationship in protein-protein interaction network using Neo4j DBMS with CQL query.
  • Performed pathway analysis to obtain prioritized modulated signaling pathways using SPIA algorithm.
  • Extraction of key entities from pdf documents related to scientific domain
  • Built hybrid system of Biomedical NER models and heuristics for extracting various variables of interest to the client.
  • Developed NLP based pipeline to extract entities from pdf drug labels using Poppler, Stanza, Spacy, Elastic Search, and RegEx.
PyTorchIgraphNLPstanzaPopplerNamed Entity Recognition (NER)+6

Indian institute of technology, kharagpur

2 roles

Research Intern

May 2020Jul 2020 · 2 mos · Kharagpur, West Bengal, India

  • Multimodal Tweets Analysis for disaster response using Computer Vision and NLP
  • Built multimodal deep learning architectures using pre-trained computer vision and NLP models such as Resnet50+AWD-LSTM, Resnet152+XLNet, Vgg19+XLM, Densenet161+BERT, and various other combinations.
  • Implemented Intermediate, Late, and EmbraceNet fusion techniques to combine the image and text modalities.
  • Applied discriminative fine-tuning, slanted triangular learning rate, and gradual unfreezing techniques.
  • Obtained F1-score 88% and 85% on binary and multiclass classification tasks with the improvement of 3% and 4% respectively over the performance of models with single modalities.
Resnet50BERT (Language Model)AWD-LSTMPyTorchFastaiComputer Vision+1

Undergraduate Research Assistant

May 2019Jun 2019 · 1 mo · Kharagpur, West Bengal

  • Prediction of occupational accidents according to activity type using ensemble methods and optimization techniques
  • Applied Machine Learning models - Logistic Regression, Decision Tree Classifier, K-Nearest Neighbors, Support Vector Classifier, Random Forest Classifier, Gradient Boosting Classifier and ensemble techniques like Bagging, AdaBoost and Simple Voting Classifier.
  • Implemented single-objective optimization techniques namely Simulated Annealing and Differential Evolution using the accuracy of ensemble model as the objective function and aslo applied multi-objective optimization techniques like Non-dominated Sorting Genetic Algorithm (NSGA) and Multi- Objective Differential Evolution (MODE) using total precision and total recall as the objective functions.
  • Generated new data using the trained ensemble model which was then used to extract safety rules to prevent further accidents.
XGBoostRandom ForestLogistic RegressionMulti-objective OptimizationNSGA-IIScikit-Learn+2

Spring fest

Core Organising Team Member

Aug 2018Apr 2019 · 8 mos · IIT Kharagpur, India

  • Coordinated sponsorship drive in Mumbai and Kolkata raising INR 8.8 lakhs by Alumni Contribution.
  • Oversaw the accommodation of 4500 participants by leading a team of 8 Associate members along with crew members.
  • Co-headed a team of 35 Associate members, expanding outreach of Spring Fest to 450+ colleges in India and Nepal.
  • Conducted Eliminations of Poetry Slam and Hilarity Ensues in Brewberrys Bhubaneswar, which had a footfall of 400+people.
  • Supervised the publicity campaign in Uttar Pradesh and Uttarakhand, published 18 media articles in different regional and
  • national newspapers and magazines in India, 3 times YoY increase, also increased participation by 26.1%.

Technology transfer group, iit kharagpur

Web Team Member

Aug 2018Dec 2018 · 4 mos · IIT Kharagpur

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology — Ocean Engineering and Naval Architecture

Jan 2017Jan 2021

Chaudhari Nihal Singh Inter College, Aimi Pilibhit (UP)

Intermediate Education

Jan 2014Jan 2016

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