Manvitha Reddy

Experience

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  Wipro

  Jun 2016 - Jun 2018

  Project Engineer
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  Self Employed

  Jul 2018 - Jun 2019

  Career break - Travelling the World

  Travelled to some beautiful destinations and met some wonderful people along the way. To name a few,- Sydney- Melbourne- San Francisco- Washington DC- Los Angeles- Maldives

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  The Pregnancy Pause

  Jun 2019 - Jun 2020

  Stay-at-Home Mom

  Experiencing Motherhood to it's fullest!

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  International Institute of Information Technology Bangalore

  Jun 2020 - May 2021

  Learning the Art of Data Science

  Projects undertaken,1) Bike sharing Project - Multiple Linear RegressionDomain: MarketingObjective: To predict which variables are significant in predicting the demand for shared bikes and how well those variables describe the bike demand.Result: R-Squared value for final training set is 82.2% . R-Squared value for the test set is 80.13%2) Lead Scoring Project - Logistic RegressionDomain: SalesObjective: To predict whether the leads will be converted successfully for educational company selling online courses to industry professionals.Solution: Designed a supervised learning classification algorithm to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance.Result: Accuracy for the train and test set is 84% and 83% respectively.3) Telecom Churn CaseStudy - Multiple Modelling techniquesObjective: To predict which customers are at a high risk of churn and identify the main indicators of churn.Result: An optimal model was built using Random Forest with an accuracy of 91% and recall of 78%.4) Capstone Project : E- commerceSituation: A leading e-commerce chain ElecKart faced a revenue dip over the last one year even after spending considerable amount on promotions and marketing. Objective: Understand the problem and making recommendations about how Eleckart's end-to end operations can be optimised to get a better revenue and to build a market mix model to understand how various marketing activities are driving the business metrics of the product.Result: Distributed Lag model performed better in terms of R-Squared when compared with linear and Distributed+Multiplicative models. Show less

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  Accenture

  May 2022 - now

  Senior Analyst, Data Science

  Aligned with Accenture's Insights & Intelligence vertical to generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to customers.Building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. Utilise the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class Part of the data-driven Data Visualization team which is primarily responsible for leveraging visualization tools to create informative dashboards and help enable clients and businesses to make impactful decisions. Show less