Venkatesh Vootla

Product Manager

Bengaluru, Karnataka, India11 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in developing advanced analytics models.
Proven track record in driving business growth through data.
Strong leadership in mentoring analytics teams.

Stackforce AI infers this person is a Data Analytics expert with a focus on Fintech and Marketing industries.

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Skills

Core Skills

AnalyticsData AnalyticsMachine LearningFraud DetectionData AnalysisLogistic RegressionPredictive Modeling

Other Skills

Analytical SkillsAnalytical SolutionsAttribution ModelingBusiness AnalyticsBusiness Growth StrategiesChurnCluster AnalysisConversational AICost ReductionCustomer ExperienceCustomer Service RepresentativesData MiningDecision TreesDevelopment & implementation of marketing plansLookML

About

Analytics

Experience

Scapia

Analytics

Jul 2023 – Present · 2 yrs 8 mos · Bengaluru · On-site

Orchestrated the setup of analytics and DE platforms from inception, driving the organization's transition from 0 to 1 in data capabilities.
Mentor and guide the analytics team in developing advanced models and analytics solutions, including a travel look-alike model, hotel rating score calculation, and coin breakage model, NLP models, Time series regressions etc.
Lead strategic initiatives to leverage data analytics for business growth and optimization, driving revenue gen and cx satisfaction.
Collaborate with cross-functional teams to identify and prioritize analytics projects aligned with organizational goals and objectives.
Cultivate culture of continuous learning and innovation within the analytics team of 12 members, encouraging experimentation with new methodologies and technologies to drive insights and improvements.

AnalyticsData AnalyticsMachine LearningTime Series ForecastingLookMLPython (Programming Language)

Gameskraft

Analytics Team Lead

Oct 2021 – Jul 2023 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Spearhead the establishment and refinement of the marketing team's analytics framework, achieving efficient budget utilization and insightful conversion analysis.
Innovate fraud detection models, yielding substantial marketing cost reductions and customer experience enhancements.
Champion the Learning and Development (L&D) programs for new games, significantly boosting bottom-funnel performance metrics.
Mentor and cultivate junior and senior team members, enhancing their career development through multiple projects.

AnalyticsFraud DetectionMarketing AnalyticsCustomer Experience

Flipkart

Lead Business Analyst

Dec 2019 – Sep 2021 · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

Developed ML propensity models for optimizing marketing efforts in Fintech product applications.
Designed application and transaction funnel metrics for internal products.
Implemented an attribution model to understand conversion metric drivers.
Supervised and mentored a team of two analysts, guiding them in delivering analytical projects and Root Cause Analyses (RCA).

Machine LearningData AnalysisAttribution Modeling

Equifax

Senior Data Scientist

Dec 2018 – Dec 2019 · 1 yr · Bengaluru, Karnataka, India · On-site

- Developed Mortgage lead generation logistic regression models using credit bureau data in SAS.

Logistic RegressionSAS Programming

Exl

Lead Assistant Manager

Sep 2014 – Jan 2019 · 4 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Lead Assistant Manager | Client: US Sport League | Oct’17 – Feb’19
Conducted analysis of factors affecting TV ratings of league games and predicted future game TV ratings using a Linear regression model.
Developed a classification model to analyze player injuries using play-by-play data.
Oversee a team of 4 in managing and completing analytics projects as per the client’s needs.
Senior Business Analyst | Client: Telecom | Mar’16 – Oct’17
Analyzed Never Pay Churn and AutoPay vs non-autopay churn among SMB customers across products.
Conducted retention, renewal, and service ticket analysis, along with promotions offer distribution.
Evaluated performance of Customer Care Representatives based on conversion rates of outbound calls using call, opportunity, and sales.
Business Analyst | Client: US Bank | Sep’14 – Mar’16
Utilized Time Series data forecasting using ARIMA in SAS
Developed a predictive attrition model using logistic regression to identify high-churn probability customers.
Created Tableau dashboards for visualizing the sales pipeline report.