Help & Supportcareers@gravityer.com
Data Scientist with 4+ years in Data Analytics & Machine Learning
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 analytics and healthcare data science enthusiast with experience in large-scale biomedical data analysis, statistical modeling, dashboard reporting, and machine learning workflows. Skilled in Python, R, SQL, Power BI, and healthcare data preprocessing for generating actionable insights from structured and unstructured datasets. Strong analytical, communication, and cross-functional collaboration skills with interest in healthcare analytics and business intelligence.
Institute of Bioinformatics and Applied Biotechnology (IBAB)
Master of Science (M.Sc.) · Big Data Biology
August 1, 2024 – June 30, 2026
Amity University, Kolkata
B.Sc. (Hons) · Biotechnology
August 1, 2021 – June 30, 2024
Deep learning approaches to study genomics of social interaction in Autism
January 1, 2026 – January 1, 2026
Modelling genomics of social interaction using machine and deep learning to predict individual-level outcomes from Whole Exome Sequencing (WES) data.
View ProjectMachine Learning-Driven Biomarker Gene Prediction for Autism Spectrum Disorder
March 1, 2025 – July 1, 2025
Developed ML model for ASD biomarker prediction using microarray data (GEO); identified differentially expressed genes and applied SHAP for model interpretability.
View ProjectGen-AI Powered Drug Repurposing Literature Agent
January 1, 2025 – December 1, 2025
Developing an agentic pipeline that mines PubMed/DrugBank, constructs a drug-gene-disease knowledge graph, and uses GenAI reasoning to identify top 5 drug repurposing candidates.
View ProjectCareer Essentials in Generative AI
Microsoft and LinkedIn
June 1, 2025 – Present
Power BI for Beginners
Simplilearn SkillUP
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in healthcare and biomedical data science, aligning well with roles in this domain. The diversity of projects, from Gen-AI powered agents to deep learning genomics and ML biomarker prediction, shows a broad technical curiosity and ability to adapt to different problem types within data science. The certifications in Generative AI and Power BI indicate a proactive approach to skill development. However, the lack of non-academic or team-based project experience makes it difficult to fully assess cultural fit in a collaborative industry setting.
Soft Skills & Operational Fit
The candidate's objective statement highlights strong analytical, communication, and cross-functional collaboration skills. Project descriptions indicate an ability to work on complex, multi-faceted problems. The academic focus on Big Data Biology suggests a structured approach to problem-solving and a strong foundation in scientific methodology. However, without direct work experience, operational fit in a corporate environment is yet to be fully demonstrated.