OM BIRARI profile photo 1 on Tal

OM BIRARI

Business Intelligence Analyst at Dentsu | Marketing Analytics | Data Analytics | Power BI | SQL | GA4 | Digital Marketing

Pune District

2+ years of work experience

Dentsu Global Services
Nov 20259 mosPresent

Pune, Maharashtra, India

The Aces Group
Apr 20243 mosJun 2024

Pune, Maharashtra, India

Freelance
Jun 20231 yr 6 mosNov 2024

Remote

AlmaBetter
Aug 20227 mosFeb 2023

Remote

Projects 1) Yes Bank Stock closing price Prediction A simple linear regression model was built and it was evaluated using accuracy, mean squared error, root mean squared error, r2_score and mean absolute percentage error. Regression models namely random forest regressor, xgboost regressor and support vector regressor were built. Presence of non stationarity was detected, made it stationary by taking lags and difference transformation and built an ARIMA model. 2) Cardiovascular Risk Prediction XGBoost Classifier* has performed best among all the models with the accuracy of 97% & f1-score of 0.9745. 3) EDA on Telecom churn Achieved a score of 86% accuracy for customer churn through XGBoost 4)Zomato-Clustering-and-sentiment-Analysis For sentiment analysis, evaluation metrics used were precision, recall, F1-score, and accuracy.

Education

MIT School of Distance Education

PGDM, Marketing

MIT School of Distance Education

20242 yrs2026
Kraftshala

Digital Marketing

Kraftshala

20252025

Join OM and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

OM BIRARI on Tal

Headline

Business Intelligence Analyst at Dentsu | Marketing Analytics | Data Analytics | Power BI | SQL | GA4 | Digital Marketing

About

Data-driven Marketing Analytics Professional with experience in digital marketing, business intelligence, and performance analytics. Currently working as a Senior Analyst at Dentsu, helping transform complex data into actionable insights that support business growth and strategic decision-making. My background spans marketing analytics, performance reporting, dashboard development, and digital marketing optimization. Prior to joining Dentsu, I worked on analytics and reporting projects through freelance engagements, developing interactive dashboards, analyzing customer and sales data, and delivering insights that improved campaign effectiveness and business performance. I combine analytical thinking with marketing expertise to bridge the gap between data and strategy. My experience includes business intelligence, web analytics, SEO analysis, paid media performance measurement, customer behavior analysis, and marketing reporting. Core Competencies: Marketing Analytics & Performance Measurement Business Intelligence & Dashboard Development Data Analysis & Visualization Digital Marketing Strategy SEO & Paid Media Analytics Customer & Web Analytics Reporting Automation & Data Storytelling Tools & Technologies: SQL • Power BI • Excel • Google Analytics 4 (GA4) • Google Ads • Looker Studio • Digital Marketing Platforms I hold a BBA and have successfully completed the academic requirements for a PGDM in Marketing from MIT School of Distance Education, with the degree currently in the final award process.

Location

Pune District

Work experience

Senior Analyst at Dentsu Global Services, Nov 2025 - Present · 9 mos, Pune, Maharashtra, India

Business Associate at The Aces Group, Apr 2024 - Jun 2024 · 3 mos, Pune, Maharashtra, India

Data Analyst at Freelance, Jun 2023 - Nov 2024 · 1 yr 6 mos, Remote

Student at AlmaBetter, Aug 2022 - Feb 2023 · 7 mos, Remote, Projects 1) Yes Bank Stock closing price Prediction A simple linear regression model was built and it was evaluated using accuracy, mean squared error, root mean squared error, r2_score and mean absolute percentage error. Regression models namely random forest regressor, xgboost regressor and support vector regressor were built. Presence of non stationarity was detected, made it stationary by taking lags and difference transformation and built an ARIMA model. 2) Cardiovascular Risk Prediction XGBoost Classifier* has performed best among all the models with the accuracy of 97% & f1-score of 0.9745. 3) EDA on Telecom churn Achieved a score of 86% accuracy for customer churn through XGBoost 4)Zomato-Clustering-and-sentiment-Analysis For sentiment analysis, evaluation metrics used were precision, recall, F1-score, and accuracy.

Education

PGDM, Marketing, MIT School of Distance Education

Digital Marketing, Kraftshala