Description
Statistical Forecasting
Develop and maintain time-series forecasting models (ARIMA, SARIMA, ETS, Prophet, Theta, ML-based forecasting,exogenous variable modelling etc.).
Perform trend, seasonality, and variance analysis to improve forecast accuracy.
Build demand forecasting, sales forecasting, or operational forecasting models for business planning.
Collaborate with business units to incorporate domain signals into forecasting logic.
Regression & Predictive Modelling
Build and validate regression models (linear, logistic, regularized models such as Lasso/Ridge/ElasticNet).
Conduct multivariate analysis, hypothesis testing, and variable selection.
Ensure diagnostic checks (multicollinearity, residual analysis, heteroscedasticity, model fit KPIs).
Classification & Machine Learning
Develop classification models (Random Forests, XGBoost, SVM, Gradient Boosting, Neural Networks).
Perform model training, validation, hyperparameter tuning, and cross‑validation.
Build end‑to‑end ML pipelines including data preprocessing, feature engineering,



and model deployment.
Data Management & Analytics
Extract, clean, transform, and analyze large structured and unstructured datasets.
Use SQL, Python, R, or Spark for data manipulation and wrangling.
Build analytical dashboards or presentations for leadership consumption.
Business Problem Solving
Translate ambiguous business problems into structured analytical frameworks.
Present complex analytical findings in easy, business-friendly language.
Work with cross‑functional teams to support data-driven decision making.

Responsibilities
Statistical Forecasting
Develop and maintain time-series forecasting models (ARIMA, SARIMA, ETS, Prophet, Theta, ML-based forecasting,exogenous variable modelling etc.).
Perform trend, seasonality, and variance analysis to improve forecast accuracy.
Build demand forecasting, sales forecasting, or operational forecasting models for busines

📌 It Data Analytics 1 Uttar Pradesh
🏢 Havells
📍 Uttar Pradesh