Help & Supportcareers@gravityer.com
Data Science with 2+ years in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with a rigorous foundation in statistics and machine learning. Expert in bridging the gap between complex research and production-grade systems, with hands-on experience in NLP, audio signal processing, and scalable data engineering. Passionate about leveraging data-driven insights to solve complex operational challenges and building models that drive measurable business value.
University of Chittagong
Master of Science · Statistics
November 1, 2022 – December 1, 2023
University of Chittagong
Bachelor of Science · Statistics
February 1, 2017 – October 1, 2022
ResearchBuddy AI
Data Scientist
April 1, 2025 – Present
Chittagong, Chittagong Division, Bangladesh
University of Chittagong
Research Assistant
August 1, 2023 – March 1, 2025
Chittagong, Chittagong Division, Bangladesh
Political Integrity & Sentiment Analysis (Bangladesh 2026)
January 1, 2026 – Present
Curating a large-scale longitudinal dataset by scraping public discourse from YouTube and Facebook. Developing a statistical framework to correlate social media volatility with sentiment trends predicted using Transformers. Implementing real-time mood detection pipelines and toxic discourse filters.
A Multifaceted Dimensionality Reduction Pipeline for Bangla Speech Emotion Recognition
Research Square
May 12, 2026 – Present
A Multifaceted Approach to Bangla Speech Emotion Recognition Using Hybrid Feature Fusion and Dimensionality Reduction
2025 28th International Conference on Computer and Information Technology (ICCIT)
January 1, 2025 – Present
A Comparative Analysis of Hybrid Deep Learning Architectures for Detecting Schizophrenia from EEG Signals
2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's background in academic research and contributions to multiple publications suggest a strong drive for continuous learning and innovation. Their experience in mentoring junior engineers and leading research projects indicates a collaborative mindset. The diversity of projects, from political sentiment analysis to medical signal processing, shows adaptability and a broad interest in applying data science to various domains, aligning well with a dynamic research-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in research leadership, team mentoring, and academic presentation, which are crucial for senior data science roles. Their experience in supervising end-to-end research projects and mentoring junior engineers indicates good operational fit for roles requiring leadership and project management. The academic background and research focus suggest a methodical and analytical approach to problem-solving.