Sep 2021 – Dec 2023 · 2 yrs 3 mos · United Arab Emirates

Jan 2021 – Sep 2021 · 8 mos · Dubai, United Arab Emirates

Oct 2019 – Dec 2020 · 1 yr 2 mos · Pune, Maharashtra, India

• Developed demand forecasting Statistical Engine from scratch. The engine can cater the demand needs of any typical and advanced SCM client. Engine recommends best product and node hierarchy level for a given sku node combination and disaggregation methodology
• Used 11 advanced Time Series(ARIMA, Prophet, Croston), Machine Learning(Random forest, XGBoost) and Deep Learning models to generate and arrive at the best fit forecast for a particular month/week/day
• Data cleaning, data munging, feature selection and feature Importance are among some generic modules developed
• EY has filed an IP and it's now a propriety EY demand forecasting solution used across national and global clients
• Successfully deployed the engine at multiple clients across the globe with accuracy improving to ~90% (from baseline for ~50-60%)

Dec 2018 – Oct 2019 · 10 mos · Pune, Maharashtra, India

• Developed statistical forecasting framework for a QSR client, implemented multivariate time series, regression and machine Learning models.
• Outlets were varied in size, location and products sold (stand alone, mall, airport outlets). Integrated forecast flow from statistical engine to order generation platform
• Improved forecast accuracy by 19 % at daily level

Jul 2017 – Nov 2018 · 1 yr 4 mos

• Objective : Forecasting the demand for the marketing team to understand the future demand patterns thereby aiding in making wise decisions for future investment
• Responsibilities Undertaken:
• 1. Understanding the client’s business, their marketplace and their vehicles used for nation wise marketing
• 2. Using Time Series Techniques to identify the demand seasonality and trend and building models to forecast the future demand
• 3. Delivering monthly presentation to the Director of Marketing and thereby providing insights to help them in their future investments

Dec 2016 – Jun 2017 · 6 mos

• Objective: Segmentation of Customers based on their Demographics to target them for more revenue
• Responsibilities Undertaken:
• 1. Using Google Analytics , finding the different paths that a customer takes to place an order and guiding the client to invest more in such cases.
• 2. Taking the data at Customer Level and finding out the customers who are not making the transactions .
• 3. Helped client in recognizing such customers and provided techniques to target such customers based on their demographics such as Age, Gender , etc.

Jun 2015 – Nov 2016 · 1 yr 5 mos

• Responsibilities Undertaken:
• 1. Developing Test Automation framework, unit testing and functional automation
• 2. Analyzing requirements to appropriately support design activities
• 3. Active member of an agile team through consistent development practices (tools, common components, and documentation)
• 4. Producing different software builds from software source code
• 5. Performing unit and assembly testing of software components including the design, implementation, evaluation, and execution of unit and assembly test scripts
• 6. Conducting code reviews and tests of automated build scripts
• 7. Identifying opportunities to adopt innovative technologies
• 8. Working with product owner to prioritize features for ongoing sprints and manage a list of technical requirements based on industry trends, new technologies, known defects, and issues.