Help & Supportcareers@gravityer.com
Data Science with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist and AI Engineer with experience in machine learning, predictive modeling, data analytics, automation pipelines, and scalable data processing. Skilled in Python, SQL, Scikit-learn, TensorFlow, feature engineering, statistical analysis, model evaluation, and end-to-end ML workflow development.
Bharati Vidyapeeth University, Pune
Master · Bioinformatics
August 1, 2023 – June 30, 2025
IIT Madras
BSc · Data Science and Programming
August 1, 2021 – June 30, 2026
V. G. Vaze College, Mumbai
Bachelor · Botany
August 1, 2020 – June 30, 2023
3Analytics Pvt Ltd
Data Scientist Intern
July 1, 2025 – January 1, 2026
India
Mediomix Diagnostics Pvt Ltd
Bioinformatics Intern
January 1, 2025 – May 1, 2025
Bengaluru, Karnataka, India
Clinical Trial Eligibility Assistant
June 23, 2026 – Present
Developed a healthcare Retrieval-Augmented Generation (RAG) application using FAISS, sentence embeddings, and large language models to retrieve and rank relevant clinical trials from 1,000+ trial documents. Implemented semantic search and eligibility matching based on patient demographics, medical history, and inclusion/exclusion criteria, reducing manual trial screening effort and improving information retrieval accuracy through citation-based responses.
GitHub Developer Trends Analysis
June 23, 2026 – Present
Collected, processed, and analyzed 46,000+ developer and repository records using GitHub APIs, Python, Pandas, and SQL. Performed large-scale data cleaning, trend analysis, and statistical exploration across programming languages, repository activity, and hiring indicators, generating actionable insights from millions of data points through scalable processing workflows.
View ProjectBank Telemarketing Success Prediction
June 23, 2026 – Present
Developed and evaluated 4 machine learning models including Logistic Regression, Random Forest, XGBoost, and HistGradientBoosting on 45,000+ customer interaction records. Performed feature engineering, class imbalance handling, hyperparameter tuning, and model evaluation, while improving prediction performance over baseline classification approaches.
Machine Learning Models for Predicting Stock Market Volatility
IJITM
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare RAG applications to financial predictive modeling and social media analytics, indicates a broad interest in applying data science across various domains. This adaptability and willingness to explore different problem spaces suggest a good cultural fit for dynamic and innovative environments. The academic background in Bioinformatics also highlights an interdisciplinary approach. However, the experience is primarily in internships and personal projects, which limits the assessment of long-term team collaboration and corporate cultural alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and an analytical mindset. Their experience in optimizing workflows and reducing manual efforts suggests an operational efficiency focus. The diverse academic background (Botany, Bioinformatics, Data Science) indicates adaptability and a broad intellectual curiosity, which can be beneficial for interdisciplinary projects. However, the lack of completed psychometric or English tests means there is insufficient data to assess specific soft skills like communication clarity, stress handling, or team collaboration directly.