Help & Supportcareers@gravityer.com
Data Science with 1+ years in business intelligence and 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 professional with hands on experience at one of India's leading private life insurance companies. Proficient in SQL, Python, Advanced Excel, and Power BI, with a strong track record of translating raw data into actionable insights for HR, vendor, and business stakeholders. Experienced in building automated reporting workflows, tracking KPIs, and surfacing trends that drive operational efficiency. Backed by a postgraduate specialization in Data Science & Analytics, with applied project work spanning machine learning, EDA, and interactive visualization – bringing both analytical depth and business context to every problem.
Imarticus Learning
PG Program · Data Science & Analytics (Advanced ML Track)
August 1, 2024 – June 30, 2025
V.G. Vaze College, Mumbai
Bachelor of Science (B.Sc.)
August 1, 2024 – June 30, 2024
Osource Global Pvt Ltd
Junior Executive
June 1, 2025 – May 31, 2026
India
COMPANY BANKRUPTCY PREDICTION
January 1, 2025 – June 1, 2026
Build a machine learning classification model to predict company bankruptcy risk using real-world financial indicators. Cleaned and preprocessed financial data using feature engineering techniques to enhance model performance across 18 financial indicators. Created an interactive Streamlit app for real-time predictions, allowing stakeholders to input financial data and assess bankruptcy risk. Business Impact: Enabled early identification of financially unstable companies, helping banks and institutions minimize credit risk and optimize investment strategies.
View ProjectATHLEISURE SALES ANALYSIS
January 1, 2025 – June 1, 2026
Developed an interactive Power BI dashboard to analyze Athleisure sales across time, regions, product lines, and retailers. Gathered business requirements to align KPIs with stakeholder goals, focusing on sales trends, regional performance, and profitability. Visualized key metrics such as monthly sales trends, product performance, regional contributions, and retailer effectiveness. Derived actionable insights to support pricing strategies, inventory management, and targeted marketing initiatives. Business Impact: Enabled simulated decision-making and strategic adjustments, improving regional campaign effectiveness by ~15% and enhancing Adidas's market positioning.
View ProjectCultural Fit Analysis
The candidate's academic projects in company bankruptcy prediction and athleisure sales analysis, combined with professional experience in HR data management, show a diverse application of data science and analytics skills. This breadth of experience, particularly in applying ML and visualization to real-world business problems, aligns well with a data science role that requires both technical depth and business acumen. The focus on business impact in projects further indicates a results-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing large datasets (60,000+ employee records) and tracking complex processes (BGV, discrepancies). Their experience in stakeholder reporting and gathering business requirements indicates good communication and a results-oriented approach. The automation of MIS reporting workflows suggests an aptitude for efficiency and problem-solving.