Data Scientist with less than a year in Statistical Modeling & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data scientist with hands-on experience in statistical modeling, machine learning, and experiment design, applying quantitative analysis to translate ambiguous business problems into measurable, data-driven outcomes. Skilled in Python, SQL, and cloud-based data tools, with a strong foundation in regression, hierarchical modeling, and A/B testing. Effective communicator of complex analytical findings to both technical and non-technical stakeholders.
Shivaji University, India
BSc Chemistry · Chemistry
N/A – Present
Tata Group (via Forage virtual job simulation program)
Data Analytics Simulation — Quantitative & Statistical Modeling Track
January 1, 2026 – Present
India
Revenue & Customer Analytics Dashboard
January 1, 2025 – December 31, 2025
Processed and validated 5,000+ transaction records across multi-source datasets using Python (pandas, NumPy), resolving inconsistencies to establish a single authoritative source Wrote optimized SQL queries (PostgreSQL) to aggregate revenue metrics, customer lifetime value, and product-level KPIs for recurring business reporting Built interactive Power BI and Tableau dashboards visualizing revenue trends, CLV distribution, and product performance Ran A/B testing and variance analysis on marketing spend scenarios, informing recommendations for an estimated 18% ROI improvement
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Generative AI for Google Cloud Platform
Google Cloud Platform
June 1, 2026 – Present
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Tata GenAI Data Analytics Simulation (Forage)
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a personal project and a virtual job simulation, shows initiative and a proactive approach to gaining experience. The certifications indicate a commitment to continuous learning and alignment with modern data science tools and platforms. The target role 'Data Scientist' aligns well with the candidate's stated professional summary and acquired skills, suggesting a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights the ability to communicate complex analytical findings to both technical and non-technical stakeholders, which is crucial for operational fit. The virtual job simulation also emphasizes practicing communication of statistical methodology. The project descriptions indicate a structured approach to problem-solving and data integrity.