Pooja Yadav
@poojayadav
Business Analyst at Indian Infoline Limited
Mumbai
Pooja Yadav is an experienced Business Analyst with expertise in data analytics, machine learning, and business intelligence. She has a strong background in performing EDA, building ML models (e.g., for churn analysis and time series prediction), and developing dashboards using Power BI. Her experience spans various domains, including financial trading, CPG/FMCG marketing analytics, and operational process improvement.
Experience
Business Analyst
Indian Infoline limited
Good understanding of Business problems and share quick solutions/Business insights to the clients for the same. Participate with peers and represent the business on project teams. Performed EDA, features selection, feature engineering to get quick insights from trading (Stock Market) datasets and build ML models for below objectives: 1. Customer Churn Analysis using machine learning models like logistic Regression, Decision tree, SVM, Multinomial Naive bayes of results to drive enhanced decision-making. 2. Segment customers into different categories based on their trading frequency. Convert low trading frequency customers into high trading frequency using upselling and cross-selling strategies. Built a dashboard on Power BI for KPI classification automation as per the client’s demand.
Business Technology Analyst
Tech Mahindra
Data Validation, conduct regular coverage studies of client data to ensure our trend are accurate. Perform quality checks, Validations and helping other measurement science and client services to resolve KPI problem. Perform daily, weekly, and monthly reviews and analysis of current process using operational metrics and reports. Projects handled from top to bottom: Prediction of sales of drugs using ‘Time Series Analysis’, Classification of drugs into different categories using machine learning models, Text Classification – Chabot using NLP.
Data Analyst (Media Analytics)
Kantar
Well experience at “Campaign Evaluation techniques” and “CPG/FMCG domain”. Worked with data facts, figures and crunching numbers. Execute client interactions that are aligned with best practices and responsible for working with the data provided by them. Analyzing marketing campaigns for various global clients and recommending optimized solutions for their future campaign investments. Assisting in questionnaire design and generate insight from survey data and media data such as – TV (BARC data) & Radio spots data, Social Media data, Impression’s data, outdoor & print activity schedule etc. Products worked on - Cross Media: Used to measure the Reach and frequency of campaign and runs Mix modelling to find out uplifts on KPI from activity.
Education
Mumbai University
MSc Statistics
Statistics
Part2 Sem4 -60.16% 7.17; Sem3 -54.56% 6.17; Part1 Sem2- 60.16% 7.33; Sem1- 58.35% 6.67
Mumbai University
BSc Statistics
Statistics
TYBSC 84.93%