Chhavi Sharma

Analytical professional with 3+ years of experience in machine learning, data analysis, and business intelligence, with expertise in multimodal applications and LLM-based solutions. Skilled in transforming complex data into actionable insights through Python, SQL, Tableau, Power BI, and Metabase. Published in leading NLP conferences and co-inventor on a patent under review. Strong track record of delivering impactful outcomes across projects including CodeMix data pipelines, meme emotion analysis, and healthcare-focused AI systems. Adept at bridging research and applied analytics to drive innovation and informed decision-making.

Other Projects:

Online Driving License System | Feb 2015 – Apr 2015

• Designed a Visual Basic–based software solution to digitize and streamline the driver’s license application process, reducing manual effort.

E-Malls (PHP, MySQL, HTML) | May 2014 – Jul 2014

• Built a web-based application simulating mall services, allowing users to browse and interact with store offerings in an online environment.

B.Tech Project - Sentiment Analysis on Twitter Data (Telecom Industry) | Feb 2017 – Apr 2017

• Analyzed tweets related to Airtel, Jio, Vodafone, etc., classifying them as positive, negative, or neutral using RapidMiner.
• Visualized sentiment trends and customer insights through Tableau dashboards, supporting data-driven interpretation of results.

Course Project- Image-Caption Generation | Feb 2019 – Apr 2019

• Implemented a deep learning model with soft/hard attention mechanisms to generate captions for images from the MSCOCO dataset, improving human-like image understanding.

M.S. Thesis – A Study on Visuo-linguistic Features towards Detection and Emotion Classification of Memes  | Feb 2019 – Mar 2021

• Meme Classification: Developed models to classify Meme vs. Non-Meme content using visual, textual, and combined cues; applied SVM, VGG-16 (pre-trained & custom), Siamese Networks, and Canonical Correlation Analysis for robust evaluation.
• MEMOTION Analysis: Collected, annotated, and analyzed a large-scale meme dataset to study sentiment and emotion representation in social media.
• Implemented machine learning techniques for multi-label classification to capture semantic and sentiment patterns, assessing the societal impact of memes.
• Leveraged Python, SQL, Tableau, Power BI, and Metabase to preprocess data, analyze trends, and create visual dashboards and reports to clearly communicate research outcomes.

• Chatterjee, A., Sharma, C., Yashwanth, V.P., Kumar, N., Raj, A., & Ekbal, A. (2023). Lost in Translation No More: Fine-tuned transformer-based models for CodeMix to English Machine Translation. In Proceedings of the 20th International Conference on Natural Language Processing (ICON-2023), Goa University, India. NLP Association of India (NLPAI).
• Chatterjee, A., Sharma, C., Raj, A., & Ekbal, A. (2022). PACMAN: Parallel CodeMixed dAta generatioN for POS tagging. In Proceedings of the 19th International Conference on Natural Language Processing (ICON-2022), New Delhi, India. Association for Computational Linguistics.
• Sharma, C., Bhageria, D., Scott, W., Srinivas, P.Y.K.L., Das, A., Chakraborty, T., Pulabaigari, V., & Gamback, B. (2020). SemEval-2020 Task 8: Memotion Analysis – the Visuolingual Metaphor. In Proceedings of the 14th Workshop on Semantic Evaluation (SemEval, COLING-2020).
• Sharma, C., Pulabaigari, V., & Das, A. (2020). Meme vs. Non-Meme Classification using Visuo-linguistic Association. In Proceedings of the 16th International Conference on Web Information Systems and Technologies (WEBIST-2020).
• Sharma, C., & Pulabaigari, V. (2020). A Curious Case of Meme Detection: An Investigative Study. In Proceedings of the 16th International Conference on Web Information Systems and Technologies (WEBIST-2020).
• Arora, T., Mohan, V., Singh, D., Sharma, C., & Sood, M. (2016). A Survey on Existing Crowdsourcing Systems. In National Conference on Advances in Computer and Information Technology (NCACIT-2016).
• Patent Under Review (2024): Method and System for Mixed Language Text Understanding for Generative Artificial Intelligence (GENAI) Models. Indian Patent Application No. 202441004769.

• Qualified GATE 2018 (Graduate Aptitude Test in Engineering).
• Shortlisted to pitch a business idea at the UP Startup Conclave 2019.
• Organized the Memotion Analysis Challenge at SemEval, COLING 2020.
• Received the Quarterly Unit Award (2023) at Wipro R&D (Lab45) for outstanding contribution.

Participated in the Workshop on AI for Computational Social Systems 2021, IIIT Delhi.

• Co-organized the “Memotion Analysis” Challenge at SemEval-2020 (COLING).
• Served as Campus Ambassador for Leaders for Tomorrow, an NGO collaborative project at Delhi University (2014–15).
• Worked as Event Coordinator for Sangtaraash, the technical fest at Delhi University (2015–16).
• Contributed as Student Coordinator for Ek Bharat Shreshtha Bharat (EBSB) cultural fest at IIIT Sri City (Jan 2020).
• Served as a Reviewer for the ICON Conference.