S

Shruti Chhabra

Operations Associate

Ghaziabad, Uttar Pradesh, India14 yrs 9 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Expert in Natural Language Processing and Machine Learning.
  • Proven track record in AI solution development.
  • Strong background in research and algorithm evaluation.
Stackforce AI infers this person is a Fintech-focused AI specialist with strong NLP capabilities.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine Learning

Other Skills

Artificial IntelligenceAlgorithmsPythonCLaTeXC++JavaRDjango

Experience

14 yrs 9 mos
Total Experience
5 yrs 1 mo
Average Tenure
1 yr 2 mos
Current Experience

Ey

Manager

Apr 2025Present · 1 yr 2 mos · Noida, Uttar Pradesh, India · Hybrid

Accenture

3 roles

Artificial Intelligence Manager

Promoted

Jun 2022Apr 2025 · 2 yrs 10 mos

Artificial Intelligence Associate Manager

Promoted

Mar 2019May 2022 · 3 yrs 2 mos

Artificial Intelligence Specialist

Nov 2016Feb 2019 · 2 yrs 3 mos

  • I am responsible for the designing and development of NLP based solutions, currently working in the domains of finance and procurement.

Ibm research

Research Intern

Sep 2015Mar 2016 · 6 mos · New Delhi Area, India

  • Evaluation of state-of-the-art subgraph extraction algorithms for comprehendibilty: The project is based on evaluating the graph snippets for interestingness and comprehendibility.
  • Extract graph snippets from large entity relationship graphs, such as DBpedia, Yago, and Espresso, given an entity pair using state-of-the-art subgraph extraction algorithms.
  • Prepare Evaluation Portal to obtain user preferences of graph snippets.

Xrci, bangalore

Research Intern

May 2014Jul 2014 · 2 mos · Bangalore Area, India

  • Predicting Future Activites of User on Social Media Platforms: The project aimed at predicting future activities of a social media user; we experiment with twitter user.
  • Consider twitter stream of a user as time-series data and predict features such as number of tweets, topics, etc, for time instance.
  • Propose a time series model based on regression and ARIMA models to predict such features. Compare with other models such as ARIMA, VARMA and DRM.
  • The patent application for the work has been filed.

Iiit delhi

Research Scholar

Jul 2011Jan 2018 · 6 yrs 6 mos · New Delhi Area, India

  • Worked on the problem of Entity-centric Summarization that aims to generate comprehendable text summaries of graph snippets. These graph snippets or subgraphs are obtained for a set of entities from large entity-relationship graphs. The problem is divided into following subproblems:
  • Evaluation of the state-of-the-art subgraph extraction algorithms for comprehendibilty.
  • Build system to generate text summaries for subgraphs.

Tveen technologies pvt. ltd.

Intern

May 2010Jul 2010 · 2 mos · Noida Area, India

  • Text Event Parser : Event is a social occasion with attributes like date, time, venue, contact details,etc. Given a domain url, it extracts all events and associated details.
  • Designed a single schema comprising of the various details (such as date, time, title, description, contact information) available from different event related sites.
  • Developed a system based on rule based approach to extract the events and associated details. For each feature, a different extraction technique was used. For example, for date and time, python datetime module was modified to extract all expected formats and to identify title, formatting features were used.
  • Tagged the events with their types e.g. Music, Spritual, Night-out, etc using dictionary overlap and frequency based technique.

Education

Jaypee Institute Of Information Technology,Noida

B.Tech — Computer Science

Jan 2007Jan 2011

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