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Data Science with less than a year in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Recent MSc graduate in Data Analytics and Bio-AI Sc with experience in collecting, cleaning, and interpreting structured and unstructured datasets. Skilled in building and evaluating machine learning models, applying statistical analysis, and extracting actionable insights. Proficient in data visualization, exploratory data analysis, and Python-based ML workflows. Strong ability to present findings clearly and collaborate with cross-functional teams to support AI-driven decision-making.
Kerala University of Digital Science, Innovation and Technology (DUK)
MSc · Data Analytics and Bio AI
August 1, 2024 – June 30, 2026
Sree Keralavarma College (University of Calicut)
BSc · Physics
August 1, 2020 – June 30, 2023
GNx Digital Solutions
Data Analyst Intern
January 1, 2026 – May 1, 2026
India
AI Variant
Data Analyst Intern
June 1, 2023 – March 1, 2024
India
Home Credit – Credit Risk Intelligence Platform
June 1, 2026 – Present
Developed an end-to-end credit risk analytics solution using Python, SQL, and Google BigQuery. Built ETL pipelines, performed feature engineering, and created dashboards for risk monitoring.
ELT Data Pipeline for Analytics and BI
June 1, 2026 – Present
Designed and implemented an ELT pipeline using Python, SQL, and Google BigQuery. Processed API data into analytics-ready datasets and automated reporting through dashboards.
View ProjectMachine Learning-Driven Drug Discovery: Predicting PD-1 Inhibitor Bioactivity
June 1, 2026 – Present
Developed a Random Forest-based ML pipeline for IC50 prediction using molecular fingerprints. Applied feature engineering, preprocessing, and cross-validation for predictive modeling.
Brain Tumour Classification Using Deep Learning
June 1, 2026 – Present
Built an MRI-based tumour classifier using InceptionV3 transfer learning. Applied preprocessing, augmentation, and evaluation to improve classification performance.
News2Stocks – Market Trend Prediction Using FinBERT
June 1, 2026 – Present
Developed an NLP system using FinBERT to analyze financial news sentiment. Generated BUY/SELL/HOLD signals from automated sentiment classification workflows.
Fibromyalgia Regulator Identification Using LyMOI Framework
June 1, 2026 – Present
Developed a graph-based deep learning workflow using transcriptomic and PPI network data. Applied a GCN-based teacher-student framework and performed enrichment analysis.
AI-Generated Dermatological and Medical Illustrations Using Text-to-Image Models
June 1, 2026 – Present
Generated dermatology images using diffusion models and clinical prompt engineering. Evaluated synthetic samples using CLIP-based similarity metrics.
Data Analytics
ExcelR Institute, Bangalore
June 1, 2026 – Present
Certificate Program in Data Analytics
NASSCOM
June 1, 2026 – Present
Google Cloud Career Launchpad – Data Analytics Track
Google Cloud
June 1, 2026 – Present
Introduction to Git and GitHub
Google (Coursera)
June 1, 2026 – Present
Google Cloud Career Launchpad – Computing Foundations Track
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a broad interest in various data science applications, from traditional analytics and risk assessment to advanced topics like bioinformatics and generative AI. This diversity suggests an inquisitive and adaptable mindset, which can be a good cultural fit for innovative teams. The academic projects, particularly in Bio-AI, align well with specialized data science domains. The certifications in Google Cloud also show a commitment to continuous learning and cloud proficiency, which is valuable in many modern data-driven organizations. However, the low psychometric test score raises concerns about potential challenges in team dynamics or handling workplace pressures, which could impact cultural integration.
Soft Skills & Operational Fit
The candidate's objective statement highlights strong ability to present findings clearly and collaborate with cross-functional teams, which are crucial soft skills for a Data Science role. The project diversity also suggests adaptability and a proactive learning attitude. However, the psychometric test score is low, indicating potential areas for improvement in logical reasoning, work attitude, stress handling, or team collaboration, which are critical for operational fit in a senior role.