Help & Supportcareers@gravityer.com
Data Scientist with less than a year in Python, SQL & 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 and AI professional with a strong foundation in Python, SQL, and machine learning, skilled in building data pipelines, predictive models, and analytics dashboards. Experienced in working with large datasets, applying Generative AI techniques, and developing data-driven solutions to support business insights. Passionate about leveraging data, cloud technologies, and advanced analytics to improve decision-making and operational efficiency.
Rajalakshmi Engineering College
BE · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Tonik Financial India Private Limited
Data Science Intern
May 1, 2025 – November 30, 2025
India
Personal Document Q&A System
June 28, 2026 – Present
Built a RAG pipeline using PDF parsing, text chunking, and vector embeddings to enable semantic search across uploaded documents. Integrated a large language model (LLM) to generate context-aware answers grounded in retrieved document chunks using ChromaDB as the vector store. Developed an end-to-end document ingestion and query interface using Python, LangChain, and Streamlit, reducing manual document search time significantly.
Seizure Classification using CNN and STFT
June 28, 2026 – Present
Analyzed multi-channel EEG signals to identify abnormal patterns related to seizure activity, supporting clinical interpretation and patient safety. Performed signal preprocessing, noise reduction, and data quality checks to improve reliability and consistency of input data. Validated system outputs across multiple test cases and documented observations to support traceability and issue identification.
Income Estimation Model
June 28, 2026 – Present
Designed and deployed an end-to-end data pipeline processing 5,000+ employee records, enabling machine learning models for income prediction and loan repayment risk. Developed and optimized ML models using feature engineering and model tuning to improve prediction accuracy and robustness. Integrated AI/ML solutions with interactive dashboards, enhancing model interpretability and enabling data-driven decision-making.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Agentblazer Champion
Salesforce
June 1, 2026 – Present
Claude Code 101
Anthropic
June 1, 2026 – Present
Generative AI Fundamentals
Google Skill Boost
June 1, 2026 – Present
Python for Data Science
NPTEL
June 1, 2026 – Present
Database Programming with SQL
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional ML (income estimation, seizure classification) to modern GenAI (RAG system), indicates a broad interest in data science applications. The internship at Tonik Financial aligns well with a data scientist role, focusing on credit risk models and data pipelines. The numerous certifications further demonstrate a commitment to continuous learning and skill development, which are positive indicators for cultural fit in a dynamic technical environment. The target role 'Data Scientist Data Scientist' is redundant, but the candidate's profile clearly aligns with a Data Scientist position.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach through personal projects and certifications. The internship experience highlights an ability to contribute to team efforts in data engineering and model development, including testing and evaluation. The project descriptions suggest an understanding of end-to-end solution development, from data processing to deployment and interpretability. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully provided.