Sumeet Yadav

Data Scientist

Mumbai, Maharashtra, India8 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced campaign costs by 15% through ML solutions.
Saved over 20 hours weekly via automated reporting.
Built real-time dashboards improving decision-making speed.

Stackforce AI infers this person is a Data Scientist specializing in AdTech and Finance with strong analytical and machine learning capabilities.

Contact

sumeet.yadav@hitachi-payments.com LinkedIn

Skills

Core Skills

Machine LearningData AnalyticsData VisualizationCustomer Relations

Other Skills

A/B TestingAPI integrationsAlgorithmsAmazon Web Services (AWS)Analytical SkillsApplication Programming Interfaces (API)Applied Behavior AnalysisApplied ProbabilityCRM data analyticsCampaign StrategiesChessCompliance MonitoringComputer VisionCustomer AnalysisCustomer service

About

Data Scientist with hands-on experience building scalable ML solutions, automating workflows, and delivering business value across AdTech and finance domains. I've developed and deployed models that reduced campaign costs by 15% and improved ROI, while also leading data automation that saved 20+ hours weekly. Skilled in Python, SQL, Spark, Hadoop, TensorFlow, scikit-learn, Power BI, and MLOps tools like Docker and AWS, I thrive in translating complex data into actionable insights. I’ve built real-time dashboards, automated reporting, and led a team of analysts—focusing on impact, clarity, and collaboration. Passionate about solving real-world problems through data, storytelling, and cross-functional teamwork. Let’s connect if you’re working on meaningful data challenges or want to chat all things ML and automation.

Experience

8 yrs 2 mos

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 1 mo

Current Experience

Mobavenue media private limited

Data Scientist

May 2022 – Present · 4 yrs 1 mo

Developed and deployed predictive machine learning models for demand-side platform (DSP) bid optimization using Random Forest and Logistic Regression, increasing win-rate accuracy by 24% and reducing cost per install (CPI) by 15%. Automated reporting processes using Python scripts and API integrations, saving 20+ hours/week by eliminating manual Excel tasks. Built over 10 real-time dashboards using Looker Studio and Power BI to support performance monitoring and executive reporting, reducing decision latency by 90%. Conducted statistical analysis, hypothesis testing, and behavioral segmentation on campaign data, leading to a 12% improvement in return on ad spend (ROAS). Collaborated with cross-functional teams to gather business requirements, implement data pipelines, and present findings using data storytelling techniques. Managed and mentored 3 junior analysts in adopting Python and SQL best practices for scalable analysis.

PythonLogistic RegressionRandom ForestAPI integrationsPower BILooker Studio+4

Hdb financial services ltd.

Recovery Analyst

Mar 2019 – Apr 2022 · 3 yrs 1 mo

Designed and implemented Excel-based tools and Python scripts to model repayment behavior, improving debt recovery prioritization by 18%. Conducted root cause analysis and generated MIS reports to track delinquency rates, enhancing compliance monitoring across regions.

ExcelPythonMIS ReportingRoot Cause AnalysisData Analytics