Naga Aravind Yasam

Product Manager

Krishna, Andhra Pradesh, India7 yrs 9 mos experience

Highly Stable

Key Highlights

Proven track record in data-driven product growth.
Expertise in machine learning and predictive modeling.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Data Analytics Specialist in Fintech and E-commerce sectors.

Contact

nagaaravind74@gmail.com LinkedIn

Skills

Core Skills

Data AnalyticsMachine LearningCustomer AnalyticsData ScienceSupply Chain Analytics

Other Skills

A/B TestingAdvanced ExcelAgent Performance AnalysisBehavioral AnalyticsBig QueryBigqueryClinical Trial DashboardCost OptimizationCross-Functional CollaborationCustomer Lifetime Value ModelDashboard BuildingData AnalysisData MiningData PipelinesData Strategies

About

As a Data & Product Analytics specialist with 6+ years of experience in e-commerce, fintech, and super apps, I specialize in leveraging advanced analytics and data science to drive product growth, customer engagement, and operational efficiency. I have a proven track record of using data to create impactful business solutions, from optimizing operational processes and reducing costs to enhancing customer retention and personalizing user experiences. My expertise spans machine learning, SQL, Python, Google Cloud, and statistical modeling, allowing me to design scalable data systems and automate workflows that deliver measurable results. Passionate about transforming complex data into actionable insights, I thrive in fast-paced environments where data meets innovation. If you're looking for someone to drive growth and efficiency through data-driven strategies. *let's connect at nagaaravind74@gmail.com

Experience

Yassir

Data & Product Analytics Manager

Feb 2024 – Present · 2 yrs 1 mo · Remote

● Data Strategy & KPI Development: Designed and implemented KPI frameworks for Multiple Yassir wallets and E-Payment products, enabling precise tracking of performance metrics and aligning them with organizational goals.
● C-Suite Insights & Financial Reviews: Led biweekly financial services insights presentations for C-suite executives, delivering actionable analyses of financial performance and user behavior. These reviews drove strategic decisions, influencing business priorities and operational planning.
● Web Event Tracking & Behavioral Analytics: Built a comprehensive web event tracking system to monitor user behavior at each product stage. This system identified critical pain points and opportunities for improvement, leading to enhanced user experiences and increased product engagement.
● Self-Service Analytics Enablement: Developed interactive dashboards and self-service analytics tools, empowering teams with real-time access to key metrics. This initiative reduced manual reporting workloads by 50% and accelerated decision-making processes across departments.
● Forecasting & Segmentation: Directed advanced segmentation and predictive modeling efforts for lending products, providing accurate revenue forecasts and improving customer targeting.
● Cross-Functional Collaboration: Partnered with engineering, finance, and product teams to create scalable analytics pipelines and enhance data accessibility. This collaboration streamlined workflows, improved cross-functional efficiency
● Cost Optimization & Predictive Insights: Introduced predictive tools and machine learning models to optimize resource allocation and forecast user behavior trends. These initiatives improved operational efficiency and enabled strategic prioritization of high-value segments.
● Growth-Oriented Analytics: Designed data frameworks to identify key growth levers, providing actionable insights that informed product roadmaps and unlocked new revenue streams.

Data StrategyKPI DevelopmentWeb Event TrackingBehavioral AnalyticsSelf-Service AnalyticsForecasting+6

Moneygram international

Senior Data & Insights Analyst

Dec 2020 – Feb 2024 · 3 yrs 2 mos · Remote

● Led the development of a global Agent Performance analysis framework, overseeing a sophisticated scoring model. This model optimized workforce efficiency of 60k agent locations, resulting in a $2.3M gain. It unified 26 KPIs for each agent, enhancing decision-making and enabling a way to provide new incentive plan and also provides progress report to every agent.
● Implemented a cutting-edge Customer Lifetime Value (LTV) model based on the BG/NBD (Beta geometric/ Negative binomial distribution) Model, which has been seamlessly integrated into production. This model effectively predicts the lifetime value of all customers within the customer base, empowering data-driven strategies and personalized marketing initiatives
● Executed funnel analysis to pinpoint critical drop-off points in the customer journey. Engineered a dynamic dashboard that offers insights into conversion rates at a country-level granularity. This initiative yielded a notable 4% boost in overall conversion rates, providing vital guidance for product enhancement strategies.
● Designed and Developed Looker Dashboards for high level metrics and monitoring
● Designed and executed multiple A/B tests to improve the effectiveness of new changes in product and campaigns.

Agent Performance AnalysisCustomer Lifetime Value ModelFunnel AnalysisLooker DashboardsA/B TestingData Analytics+1

Purplle.com

2 roles

Data Science & Analytics

Promoted

Jul 2020 – Dec 2020 · 5 mos

● Developed an advanced inventory forecasting model that optimized warehousing operations nationwide, effectively eliminating revenue losses of approximately INR 19 M due to out-of-stock situations on the website. Established end-to-end data pipelines and customized dashboards for individual warehouses, facilitating real-time brand-wise stock threshold monitoring and replacing outdated methods with statistical scoring models.
● developed a classification model using logistic regression to identify and prevent first-order discounts for retailers, enabling targeted marketing efforts and contributing to an increase in Average Order Value (AOV) and basket size.
● Worked with for Supply chain, Inventory management and logistics teams to handling the process, warehouse product management and developed various KPI’s and Dashboards. Reduced order to dispatch time from 3.8 days to 3 days.
● Identified and mitigated risks in the ecommerce supply chain due to COVID-19: This could involve identifying potential risks, such as disruptions in production, transportation, or storage, and developing mitigation strategies. This could help to ensure that the company is able to meet customer demand during the pandemic.

Inventory ForecastingData PipelinesStatistical Scoring ModelsSupply Chain AnalyticsData Science

Associate Data Science & Analytics

Jun 2019 – Jun 2020 · 1 yr

Hetero

Data Analytics

May 2018 – Jun 2019 · 1 yr 1 mo · Hyderabad, Telangana, India

● Analyzed pharma trends to identify new opportunities for growth: This could involve analysing data on the global pharmaceutical market, the latest research and development in the industry, and the changing needs of patients. This information could be used to identify new markets for products, develop new products, or improve the marketing of existing products.
● Developed a supply chain model to improve the efficiency of drug delivery: This could involve modelling the flow of drugs through the supply chain, identifying bottlenecks, and developing solutions to improve efficiency. This could involve optimizing inventory levels, improving transportation logistics, or reducing the time it takes to get drugs to patients.
● Developed a dashboard that tracked the progress of a clinical trial. This dashboard helped the company to identify potential problems early on and make adjustments to the trial design

Pharma Trends AnalysisSupply Chain Model DevelopmentClinical Trial DashboardData AnalyticsSupply Chain Analytics