SUSHMA REDDY GANJI
Mumbai
Summary
Results-driven AI & Decision Science Analyst specialising in demand forecasting, statistical modelling, and predictive analytics across retail, pharma, and supply chain sectors. Developed scalable forecasting pipelines and implemented statistical techniques, achieving 80–85% forecast accuracy. Proficient in Python, SQL, and machine learning libraries, with experience in deploying low-code AI solutions and automating analytical workflows. Graduate of IIT Kharagpur with a Micro-specialization in AI, translating complex analytics into business impact.
Overview
5
5
years of professional experience
Work History
Demand Analyst
General Mills
Mumbai
03.2026 - Current
- Demand Forecasting: Performed statistical demand forecasting and analysis to identify demand patterns, trends, and seasonality, supporting business planning and supply chain decision-making.
- Enhanced forecast accuracy by 5% through analytical insights and refinement of forecasting methodologies.
- Statistical Modeling: Applied statistical forecasting techniques to evaluate demand behavior and improve forecast reliability.
- Data Analytics: Leveraged Python, SQL, and Excel for data extraction, preprocessing, transformation, validation, and demand analysis.
- Streamlined file generation and processing for analysis using Python-based automation, saving approximately 1 day of manual effort.
- Minimised manual intervention in forecasting workflows, facilitating faster analysis and improved operational efficiency.
AI Decision Science Analyst
Accenture Strategy & Consulting
08.2024 - 10.2025
- End-to-End Forecasting Architecture: Designed and implemented a comprehensive Demand Forecasting pipeline to predict demand at SKU, category, channel, and country levels, enabling scalable and granular forecasting.
- Low-Code Forecasting in Dataiku: Developed a pharmaceutical demand forecasting pipeline in Dataiku, leveraging minimal code and built-in platform features to accelerate implementation.
- Automation, Visualization & Monitoring: Executed data preprocessing, feature engineering, model selection, and 1-year-ahead forecasting using Dataiku's visual recipes and automated workflows, and delivered an interactive dashboard for ongoing performance monitoring and faster deployment.
- Data Quality & Preprocessing Excellence: Enhanced data reliability through missing value imputation and systematic outlier detection and correction, ensuring high-quality inputs for modeling.
- Developed and evaluated multiple univariate time series forecasting models, assessing performance during defined validation periods to ensure predictive reliability.
- Model Selection & Validation Strategy: Selected the top three performing models per time series based on validation accuracy to maximize predictive effectiveness.
- Combined forecasts using ensemble techniques, enhancing robustness and generalisability across diverse demand segments for improved forecasting accuracy.
- Seasonality Reintegration & Refinement: Applied post-processing techniques to reintroduce critical seasonality components, enhancing forecast accuracy and business alignment.
- Generated quarter-ahead demand forecasts to support proactive production planning and optimise supply chain readiness.
- Business Impact & Measurable Outcomes: Achieved 80-85% forecast accuracy, enabling production teams to reduce stockouts and minimize material wastage.
Data Science Intern
One Sigma Technologies Pvt. Ltd.
05.2023 - 07.2023
- Developed an SMS classification system on 1M+ messages to identify promotional vs. non-promotional texts, enabling merchant discovery and behavioural insights.
- Applied TF-IDF for text vectorization, determined optimal clusters using Silhouette Score, and implemented Birch clustering (cdist), achieving 79% accuracy on a manually labelled validation set.
- Preprocessed text using NLTK, including stopword removal and regex-based normalisation of IDs, dates, amounts, and timestamps, ensuring feature consistency for improved analysis.
- Developed SMS-driven features for permissions-based underwriting model, refining merchant recommendations and enhancing user profiling.
- Merged 3 months of permissions data using MySQL, conducted EDA on 828 features, and engineered uniform bins to analyse delinquency patterns for UNT and ANT.
- Identified top 20 delinquency-correlated features via univariate and weighted bivariate analysis, leading to the rejection of 100+ delinquent UNT users and blocking of 5+ delinquent ANT users in production.
Business Development Executive Intern
Saur Urja Vehicle Challenge
02.2022 - 04.2022
- Screened and onboarded 20+ companies while mapping working professionals to suitable roles, streamlining the recruitment process.
- Scheduled and managed interviews for 250+ candidates across 12 companies, while regularly analyzing and incorporating employer feedback.
- Coordinated with corporate partners to host webinars, including SUVC-5, engaging 24 solar vehicle teams and fostering industry collaboration.
- Facilitated webinars, workshops, and hiring processes from company shortlisting to job offer rollout, enhancing candidate engagement and placement.
- Impact: Successfully conducted 2 webinars and 1 workshop, resulting in the placement of 148 working professionals with a 70% success rate.
Education
(IDD) - 5 Years - Mechanical Engineering (Manufacturing Science & Engineering) Micro in AI
IIT Kharagpur
08-2026
Skills
- Demand Forecasting
- Feature Engineering
- NLP (Natural Language Processing)
- Time Series Modeling
- Ensemble Techniques
- Fraud Detection
- Predictive Analytics
- Data Preprocessing
- Underwriting Analytics
- Machine Learning
- Risk Assessment
- Business Intelligence & Dashboards
- Python
- MySQL
- Pandas
- NumPy
- Microsoft Excel
- Matplotlib
- Seaborn
- Tableau
- Power BI
- Scikit-learn
- Probability and Statistics
- Keras
- TensorFlow
- Snowflake
- Dataiku
- Datalab
- Jupyter Notebook
- Visual Studio Code (VS Code)
- Team Management
- Collaborator
- Critical Thinking
- Innovator
- Leadership Qualities
- Communicator
- Process automation
Timeline
Demand Analyst
General Mills
03.2026 - Current
AI Decision Science Analyst
Accenture Strategy & Consulting
08.2024 - 10.2025
Data Science Intern
One Sigma Technologies Pvt. Ltd.
05.2023 - 07.2023
Business Development Executive Intern
Saur Urja Vehicle Challenge
02.2022 - 04.2022
(IDD) - 5 Years - Mechanical Engineering (Manufacturing Science & Engineering) Micro in AI
IIT Kharagpur