Akash Agarwal Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

Mumbai, Maharashtra, India

Price and Incentive Analytics:- Client needed a set of advanced analytical tools to plan incentives and efficiently spend incentive budget for each cycle. The use of advanced analytics would allow them to capitalize on market opportunities.- We developed analytical tools (Incentive Optimizer, Scenario Analyzer and Analytics Model Monitoring) that will complement Client's current incentive planning process with enhanced analytics capabilities. Client will be able to use the model output to continuously refine programs, perform scenario analysis, optimize spend, and support sales objectives, all while keeping an eye on the proverbial heartbeat of the market and macroeconomic factors.

Noida, Uttar Pradesh, India

Market Mix Modeling: To understand and quantify the impact of various marketing activities onsales, helping Brand Managers to optimize advertising mix and promotional tactics with respect to sales revenue for the world’s largest Beverage Company.• Estimating base and incremental sales using multivariate regression and to calculate the effectiveness and ROI of Media spends• Understanding the impact of media activities on brand love attributes by calculating contributions and elasticities• Using attributes to calculate the elasticity of levers like price, distribution, and discount for different pack sizes of each brand.

Gurgaon, Haryana, India

• Understand the client’s requirements and build the architect for Predictive Modelling.• Creating dashboard and developing of graphical report with help of Tableau.• Performed Exploratory Data Analysis and implemented Logistic Regression and Random Forest for Bharti Airtel to help retain customers, thus achieving 88% model accuracy using Python. Selecting the best model based on accuracy and predict the probability whether the customer will churn or not. Python, Logistic Regression, Random Forest, Decision Tree

Responsibilities: • Extracting daily KPI data form tools like OSS and BI.• Cleaning the data using steps such as missing value treatment, handling outlier’s etc. data and then generating plots using libraries such as matplotlib and seaborn in python.• Top Offender analysis of the sprint LTE network and optimizing the sites.• Health check of Sprint LTE sites in OSS-RC. Verifying Alarms, Hardware status and parametric configuration.• Using Tableau for visualizing the BI data and presenting it to the customer.

Noida Area, India

Responsibilities: • Recommendation for worst KPI analysis (LTE) for IRAT% , HO Success% , Accessibility and Retainability.• RSSI check for LTE and CDMA sites.• Call block and drop optimization to meet SLA for Ericsson LTE network.• Preparing scripts for parameter changes on sites using OSS.• Validating all 1C & 2C setup parameters as per golden parameter list and FGA.

Noida Area, India

This project is designed to understand the technology used for the control of Make-Up water system from the main plant and finding as well as implementing the best possible technology in the Power Plant. There are mainly two possible and efficient technologies present which are mainly WiMax and Fiber Optics. According to the geographical location of the Main Plant, WiMax was the best technology which can be applied.

Bachelor Of Technology (Btech), Electronics And Communications Engineering, 87%

Graduated in B.Tech from Electronics and Communication Engineering Department

Intermediate, 84%