Open to opportunities

Neha Shankar

@nehashankar

Message

I’m a Data Analyst turning financial and operational data into actionable business insights.

India

Message

What I'm looking for

I’m looking for a role where I can automate analytics with SQL/Python and Power BI, and also apply forecasting and ML to produce decision-ready insights—so stakeholders get clarity, not just data.

I’m a data-focused professional combining business analysis with machine learning to turn complex financial and operational signals into decisions stakeholders can act on. In my current Business Analyst role, I analyse approval rates, lender performance, and revenue fluctuations, then build and automate reporting with SQL, Python, Excel, and Power BI.

I also bring an ML-first mindset from my Data Science Researcher work, where I developed an end-to-end pipeline using predictive modelling, time-series forecasting, and NLP-based interpretation. I compared Linear Regression vs. Random Forest for anxiety prediction (R² 0.98 vs. 0.67), and I translate model outputs for non-technical caregivers using an LLM via Ollama.

Experience

Work history, roles, and key accomplishments

Current

Business Analyst

Current

Net Zero Asset Finance Limited

Mar 2025 - Present (1 year 4 months)

Analyysed financial and operational data to investigate business-critical questions such as declining approval rates, lender performance, and revenue fluctuations. Built automated reports and evaluated workflows to provide actionable recommendations for business decisions and demand trend insights across green asset categories.

financial data analysis performance reporting Trend Analysis SQL Python Power BI

Data Science Researcher

Hey Joey Company

Jan 2026 - Jun 2026 (5 months)

Developed an end-to-end machine learning pipeline integrating predictive modelling, time-series forecasting, and NLP-based interpretation for a digital well-being platform. Compared regression and ensemble models for anxiety prediction, implemented temporal features, and applied ARIMA forecasting and KMeans clustering, including LLM-based translation of outputs for caregivers.

Machine Learning predictive modeling Time Series Modeling NLP Random Forest Lagged Variables ARIMA KMeans Clustering Feature Importance

SAP Analyst

HPCL

Jan 2024 - Jan 2025 (1 year)

Evaluated financial and operational data from SAP systems to uncover performance trends and improve data accuracy. Automated reporting workflows using Power BI and statistical techniques, optimised SQL queries and database processes, and shared actionable insights with stakeholders to strengthen reliability and performance monitoring.

SAP Power BI SQL Statistical Analysis