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Pranjali Bhogle

@pranjalibhogle

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Senior Data Analyst and Team Coordinator delivering LLM-driven analytics, forecasting, and revenue optimization.

India

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What I'm looking for

I’m looking for a role where I can lead analytics teams and build data-driven revenue systems—using LLM/RAG, forecasting, and A/B testing—while collaborating closely with cross-functional and US-based stakeholders.

I’m a Senior Data Analyst and Team Coordinator with 5 years of experience in advanced analytics, machine learning models, emerging AI technologies, and optimization solutions for digital advertising. I deploy Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG) frameworks, and Agentic AI to turn complex data into data-informed decision making and actionable revenue growth. I was recognized as Performer of the Year (2025).

I build forecasting pipelines (including XGBoost-based forecasting), automate ETL, and create dashboards in Streamlit and Tableau to keep teams and USA stakeholders aligned. I lead and mentor a team of 5 analysts, designed and reported 6+ A/B tests, and implemented Linux cron scheduling and API integrations for reliable data delivery. Through multi-model decision systems and continuous experimentation, I’ve driven measurable campaign profit and improved targeting efficiency.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst - Team Coordinator

Current

Dinero Software Pvt. Ltd.

Mar 2025 - Present (1 year 5 months)

Built predictive and optimization pipelines for digital advertising campaigns, including LLM/GenAI-based keyword retrieval and XGBoost revenue forecasting. Led a team of analysts and collaborated with US-based stakeholders to turn data into actionable decisions.

Senior Data Analyst

Dinero Software Pvt. Ltd.

Mar 2023 - Feb 2025 (1 year 11 months)

Worked on data-driven campaign analytics using forecasting, multi-criteria ranking, and A/B testing to improve keyword performance. Developed dashboards and automated reporting for ongoing experiment and performance tracking.

Streamlit Query Optimization Python SQL XGBoost TOPSIS predictive modeling Feature Engineering A B Testing Tableau Automation Data Cleaning Plotly Matplotlib Linux MariaDB API Integration Jira

Data Analyst

Dinero Software Pvt. Ltd.

Mar 2021 - Feb 2023 (1 year 11 months)

Analyzed SEM campaign performance and supported experiment workflows using data pipelines and reporting automation. Contributed to keyword optimization and quality assurance for data and model outputs.

ETL XGBoost predictive modeling Automation Python SQL Data Cleaning A B Testing CTR Optimization Linux MariaDB API Integration Data Quality Assurance Tableau

Data Science Intern

Technocolabs

Sep 2020 - Nov 2020 (2 months)

Built machine learning models for credit card fraud detection, including feature engineering and supervised classification with evaluation via precision-recall metrics. Performed statistical analysis with confidence intervals using bootstrap methods.

Feature Engineering Logistic Regression Random Forest Cross Validation Grid Search Precision Recall Curve Classification Statistical Analysis EDA Bootstrap

Data Science and Analytics

The Sparks Foundation

Aug 2020 - Sep 2020 (1 month)

Developed predictive and classification models for academic performance forecasting and data categorization. Conducted unsupervised learning and exploratory data analysis to extract patterns from datasets.

Unsupervised Learning Data Visualization