Data scientist with a passion for Human-AI Interaction, Natural Language Processing, Machine Learning, and Big Data Analysis. My academic journey has equipped me with the knowledge and skills to develop innovative solutions at the intersection of AI and human needs.
Download ResumeJan 2024 - Dec 2025 (Expected)
Pursuing advanced knowledge in Business Analytics, combining data science expertise with business acumen to drive strategic decision-making.
Mar 2023 - May 2025
Specializing in advanced data science techniques, machine learning algorithms, and engineering practices for building robust AI systems.
June 2018 - May 2022
Gained strong foundations in computer science, programming, algorithms, and systems design. Participated in research projects and hackathons.
Jan 2017 - Feb 2018
Built a strong foundation in science and mathematics, developing the analytical thinking that would later support my academic and professional career.
Exploring ways to make AI systems more intuitive, responsive, and aligned with human needs, focusing on natural interaction paradigms.
Developing innovative NLP techniques for language understanding, generation, and translation, with special focus on low-resource languages.
Researching advanced ML algorithms and techniques, particularly in the areas of deep learning, transfer learning, and few-shot learning.
Developing scalable methods for extracting meaningful insights from large, complex datasets, with applications in various domains.
Researching automated prompt engineering combined with QLoRA quantization to efficiently adapt Large Language Models (LLMs) for specific NLP tasks, significantly reducing computational costs and manual efforts in prompt refinement. Current experiments focus on Hindi-to-English translation but are designed for scalability across various NLP tasks like text generation, summarization, and Q&A.
This research aimed to develop a machine learning classifier for identifying suicidal risk levels in social media posts. The proposed Enhanced Feature Engineering Approach for Suicidal Risk Identification (EFASRI) extracted features from a novel dataset collected from Twitter and Reddit.
Published in the Egyptian Informatics Journal on April 19, 2023.
This research focuses on developing a robust speech recognition system for the Kashmiri dialect, employing dual feature extraction techniques and spectrogram augmentation within a CNN-gMLP Hybrid Model.
Status: Currently under review
Developed a predictive text model using an N-gram approach, implemented in a Shiny app.
Detailed the data sampling, cleaning, and exploratory analysis techniques used in a predictive text model project.
Created a Shiny app highlighting countries on a world map, showcasing data visualization skills.
Demonstrated creating and displaying interactive maps using the Leaflet library in R.