Prachi Jain

AI Researcher

Delhi, India11 yrs experience

AI EnabledHighly Stable

Key Highlights

Expert in Machine Learning and AI technologies.
Strong background in data analysis and statistical techniques.
Experience in teaching and research at prestigious institutions.

Stackforce AI infers this person is a Data Scientist with expertise in AI and statistical analysis.

Contact

Skills

Core Skills

Data AnalysisStatistical AnalysisAlgorithm DesignGraph Theory

Other Skills

AlgorithmsAndroid DevelopmentArtificial Intelligence (AI)CC++Computer ScienceData StructuresDeep LearningHiveHiveQLJ2ME DevelopmentJavaLaTeXLinuxMachine Learning

Experience

11 yrs

Total Experience

2 yrs 7 mos

Average Tenure

1 yr 6 mos

Current Experience

Microsoft

Senior Researcher

Dec 2024 – Present · 1 yr 6 mos

Microsoft research

Postdoctoral Researcher

Oct 2022 – Oct 2024 · 2 yrs · Bengaluru, Karnataka, India

Facebook

Research Intern

Aug 2018 – Oct 2018 · 2 mos · london, uk

Indian institute of technology, delhi

Graduate Teaching Assistant

Jul 2014 – Jul 2019 · 5 yrs

Learning Probabilistic Graphical Models [July'15 - Dec'15] [July'16 -Dec'16]
Natural Language Processing [Jan'16 - May'16]
Artificial Intelligence [Jan'15 - May'15]
Machine Learning [July'14 - Dec'14][Jan'17 - May'17]
Discrete Maths [July'17 - Dec'17]

Bell labs

Reseach Intern

Jun 2013 – Jul 2013 · 1 mo · Dublin, Ireland

Worked under Dr. Alessandra Sala.
My job duties included handling and analyzing huge Hive UDR datasets from a leading Telecom Provider to understand browsing behavior of users.
Used various statistical techniques like PCA.
For analysis I used R and worked on python map-reduce scripts for Hive.

RPythonHiveStatistical TechniquesData AnalysisStatistical Analysis

Information sciences institute, university of southern california

Research Intern

May 2012 – Jul 2012 · 2 mos · Los Angeles, CA

Worked under Dr. Kristina Lerman (http://www.isi.edu/integration/people/lerman/index.html)
Centrality for Social networks
Designed centrality matrices for limited attention social media and gave scalable approximate algorithms for computing proposed measures in massive graphs and proved their performance guarantees.
Worked on Matlab scripts and later implemented the algorithms/matrices in Java.