About
Analytical and results-driven Operational Research professional with a Master’s degree in Operational Research, skilled in applying advanced statistical modeling, machine learning, and data visualization to solve complex business problems. Experienced in building predictive credit risk models, optimizing inventory and procurement strategies, and delivering actionable insights through data-driven frameworks. Adept at using Python, SQL, Power BI, and Excel to translate data into strategic solutions that improve efficiency, reduce costs, and support decision-making. Seeking opportunities to apply quantitative expertise and business acumen to drive impact in data analytics and risk management roles.
Work
Greater Noida, Uttar Pradesh, India
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Summary
Leading inventory analysis and procurement optimization initiatives, applying advanced analytical techniques to enhance operational efficiency and reduce costs for MG Organics Pvt. Ltd.
Highlights
Conducted ABC analysis on raw materials, identifying high-impact items representing 75% of total consumption value to enable focused inventory control and strategic procurement planning.
Developed and implemented robust demand forecasting models (Holt-Winters, SARIMA) for raw materials, achieving strong performance with MAPE less than 7% and low RMSE, significantly enhancing inventory management decision-making.
Optimized procurement schedules using the Wagner-Whitin dynamic lot-sizing model, aligning future orders with forecasted demand to improve working capital efficiency and reduce holding costs.
Generated recommendations projected to save ₹13-15 Lakhs annually in inventory costs by leveraging Python, SPSS, and Excel for data-driven insights.
Volunteer
NSS University of Lucknow
|Event Coordinator
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Summary
Coordinated university-level outreach events and awareness campaigns, leading a team to organize large-scale community service initiatives.
Highlights
Directed a 10-member team in organizing 2 NSS camps for over 300 participants, coordinating multiple impactful awareness campaigns during the COVID-19 pandemic.
Streamlined event logistics, volunteer communication, and scheduling, ensuring the seamless execution of university-level outreach initiatives.
Awards
Participation Recognition, International Conference on Sustainable Supply Chain Management
Awarded By
Department of Operational Research, University of Delhi (under India's G-20 Presidency)
Participated in an international conference, gaining exposure to cutting-edge research and practices in sustainable supply chain management.
Runner-Up, DATANEST 4.0 Hackathon
Awarded By
Department of Statistics, Ramjas College, University of Delhi
Achieved runner-up position in a competitive hackathon focused on data analysis and statistical modeling.
Languages
English
Hindi
Skills
Programming & Tools
Python, Matplotlib, Seaborn, NumPy, Pandas, SQL, Microsoft Power BI, Microsoft Excel (Advanced Analytics), SPSS.
Statistical Modeling & Econometrics
Data Visualization, Statistical Analysis, Linear Models, Multivariate Analysis, Hypothesis Testing, Regression Models, Maximum Likelihood Estimation (MLE), Causal Inference, Time Series Forecasting, Holt-Winters, SARIMA, Wagner-Whitin Model.
Machine Learning
Model Development, Supervised Learning, Unsupervised Learning, Random Forest, AdaBoost, CatBoost, XGBoost, LightGBM, Gradient Boosting Algorithms.
Risk Management & Analytics
Credit Risk Analysis, Scenario Analysis, Regulatory Stress Testing (CCAR/ICAAP), Predictive Scorecard Modeling, Data Preprocessing, Feature Selection, Binning (WOE/IV), Model Validation, KS Metric, Gini Coefficient, ROC-AUC.
Data Analysis & Optimization
Exploratory Data Analysis, Feature Engineering, Outlier Handling, Non-linearity Analysis, Heteroscedasticity Analysis, Normality Validation, ABC Analysis, Inventory Control, Procurement Planning, Supply Chain Optimization.