Devendra Samatia

Data Scientist

Gurgaon, Haryana, India7 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Published research on geospatial algorithms at ACM conference.
Expertise in machine learning and AI for customer-facing solutions.
Proven track record in geospatial intelligence projects.

Stackforce AI infers this person is a Data Scientist specializing in Geospatial Intelligence and Machine Learning for B2C applications.

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Skills

Core Skills

Machine LearningData ScienceGeospatial Intelligence

Other Skills

AWS SageMakerHadoopSQLObject-Oriented Programming (OOP)KerasPandas (Software)NumPyGeospatial DataGeospatial ModelingSpatial AnalysisPredictive ModelingGraphQLAmazon Elastic MapReduce (EMR)Apache SparkFlask

About

Data Scientist with 4 years of demonstrated industry experience in designing and developing many artificial intelligence systems using machine learning, deep learning, rule-based algorithms, and big-data frameworks like spark along with hands-on competitive coding and implementing Object Oriented Design based systems. I have worked on location intelligence problems like address standardization and Geocoding at Delhivery. My work at delhivery was also published at an international conference of ACM. I have worked on customer-facing problems like recommendations, predicting conversion probability for users, chatbots, and improving website CTA with help of AI at Girnarsoft.

Experience

7 yrs 4 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 11 mos

Current Experience

Zomato

Data Scientist

Jul 2023 – Present · 2 yrs 11 mos · Gurugram, Haryana, India · On-site

Cardekho

2 roles

Senior Machine Learning Engineer

Promoted

Jun 2022 – Jul 2023 · 1 yr 1 mo · Gurugram, Haryana, India

Machine Learning Engineer

May 2021 – Jun 2022 · 1 yr 1 mo · Gurugram, Haryana, India

AWS SageMakerHadoopMachine LearningData Science

Delhivery

3 roles

Data Scientist I

Promoted

Jan 2020 – May 2021 · 1 yr 4 mos · Gurgaon, India

Addfix: I worked extensively on the address standardization project to remove human intervention requirements in the project. For this goal, I automated the locality graph expansion process using the historical address data and converted the prediction algorithm from manually designed function to a learnable problem.
Locality polygon: Built a project from scratch to determine the geographical boundaries of localities. Developed a new algorithm for this problem and this new algorithm resulted in a research paper published in ACM SAC'20.
Geocoder: Built a project from scratch to predicted latitude and longitude of a address.

Geospatial IntelligenceSQLData Science