Help & Supportcareers@gravityer.com
Data Science with 1+ years in Data Analysis & 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 professional with an MSc in Statistics and hands-on experience in data analysis, machine learning, and predictive modeling. Skilled in Python, SQL, Excel, and data visualization tools with a strong foundation in statistical analysis and problem-solving. Experienced in data cleaning, exploratory data analysis, hypothesis testing, and building analytical models to extract insights from complex datasets. Passionate about transforming data into actionable insights to support data-driven decision-making in business environments.
Modern College, Pune
MSc in Statistics · Statistics
January 1, 2023 – January 1, 2025
Garware College, Pune
BSc in Statistics · Statistics
January 1, 2020 – January 1, 2023
Elevate Lab
Data Scientist Intern
June 1, 2025 – July 1, 2025
India
Elevate Lab
Data Analyst
May 1, 2025 – June 1, 2025
India
Analysis of mutual fund
June 1, 2026 – Present
Conducted data-driven analysis of mutual fund performance across sectoral and market-cap categories using historical NAV data. Applied financial metrics (Sharpe ratio, alpha, beta, expense ratio) along with ANOVA, GMM, ARIMA, and Granger Causality for risk-return assessment and forecasting. Identified key insights, such as stable performance in funds and higher returns with increased volatility funds.
EDA Analyst
June 1, 2026 – Present
EDA analyst based on GenAI with RAG system. Built an interactive app that automates EDA from CSV files with visualizations and natural language Q&A using a LangChain-based RAG system and OpenAI embeddings.
Python for Data Science
NPTEL
June 1, 2026 – Present
Machine Learning Fundamentals
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience demonstrate a proactive learning attitude and a willingness to explore various domains within data science, including finance, HR analytics, computer vision, and generative AI. This diversity suggests adaptability and a strong interest in continuous skill development, which aligns well with a dynamic, innovation-driven culture. The academic background in Statistics provides a solid theoretical foundation for data-driven decision-making.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems, from financial analysis to real-time computer vision and GenAI applications. The structured approach to problem-solving, as seen in the mutual fund analysis and attrition prediction, suggests good analytical and operational fit. The description of building an interactive app for EDA also points to an ability to deliver user-facing solutions.