Nov 2020 – Dec 2022 · 2 yrs 1 mo · Hyderabad, Telangana, India

Jan 2020 – Oct 2020 · 9 mos · Hyderabad Area, India

• Chief Data Scientist overseeing multiple projects on Big Data Analytics

Apr 2019 – Jan 2020 · 9 mos · Mumbai, Maharashtra, India

• Data Science, HR Analytics, Salesforce Analytics

Nov 2018 – Mar 2019 · 4 mos · Hyderabad, Telangana, India

• On bench

Apr 2017 – Oct 2018 · 1 yr 6 mos · Hyderabad Area, India

•  Developed various statistical models to help assess T&E data for compliance with policies and procedures.
•  Developed analytics and dashboards to help assess Sales data for potential issues and/or revenue optimization opportunities.
•  Profitability Analysis for each client based on expense incurred and revenue generated.
•  Journal Entry Analytics by assigning risk score based on Neural Network Techniques.
•  Vendor black list check using text analytics.
•  Hardware discount analytics by assigning unrealized revenue using outlier score on based lined on same country.
•  Risk Score dashboard integrating factors from internal and external data points for Country selection for Audit.
•  Assessed pricing and discount data across various Sales channels to help determine operating effectiveness of related controls.

Mar 2012 – Dec 2016 · 4 yrs 9 mos · Jeddah Governorate, Saudi Arabia

•  Optimizing sales/collection Operation using neural network model to predict customer behaviour.
•  Segmentation of customer based using K means Clustering technique for customized treatment.
•  Predicting customer choice of car model based on CART and pattern discovery models.
•  Forecasting sales and collection using ARIMA model used for target setting.
•  Campaign design/evaluation using multi linear regression models.
•  Credit Scoring using Ensemble method.
•  Commission calculation of sales man and collectors using HR analytics.
•  Six Sigma based control limits to determine operation quality and safety risk reporting.

Oct 2006 – Feb 2012 · 5 yrs 4 mos · Germany

• Analytics Consulting
• i. Daimler AG: IBM Daimler Chrysler (IVK) was developed to solve Constructive Problems during Configuration as Model Construction for customization of design and configuration of Lastwagen. Constraint solver Engine was IBM product and we utilized to compute minimum conflict goals while solving interactive system constraints during dynamic formulation of Daimler vehicles. The challenge was to translate vehicle configuration constrains into proportional logic to model dependencies and finite domain constraints to represent conflicts. We also customised the Constraint Solver’s minimal conflict solver engine to pick solution from sub optimal space to provide for consideration on time and memory optimisation, even though constraint suspension was accommodated by tolerable threshold. This was quite an innovation and stimulating team from cross cultural team from IBM Germany, India and Israel and we could implement state of art solution.
• ii. Volkswagen: Volkswagen AG Ersatzteile 2000 is an IT-logistic parts ordering system forms the backbone for the supply of spare parts for the VW and Audi dealerships Kassel warehouse. ET2000 had capacity issues and poor responsiveness due to limitation of their base EOQ model in handling some of the slow moving parts which always had to be backordered at a cost, hence enhancement was required. Using Demand forecasts of each slow moving Auto parts based on historical data on demand and model variability in lead time and applying Quantity discount models, a stochastic model to control inventory was developed to generate reorder quantity and reorder schedule to optimize inventory at each Tier of integrated distribution system. To avoid stock outages, safety stock amount was derived from the stochastic model.

Jan 2006 – Jan 2006 · 0 mo

• Building MSCI index using SAS

Feb 2002 – Mar 2004 · 2 yrs 1 mo · Stuttgart Area, Germany

• Building Energy Simulation for optimization of Energy uage( retrofitting)