User:Tanvir anzum data/sandbox

Tanvir Anzum is an experienced professional with expertise in data analysis, data visualization, growth hacking, and research. He is skilled in extracting insights from complex datasets and driving strategic decision-making. Tanvir is also proficient in growth hacking strategies, optimizing business performance, and possesses strong analytical and research skills. He is passionate about leveraging data for business success and driving data-informed decision-making.

Career
Google News Initiative - Prothom Alo - Data Analyst (02 May 2023 – Present) - Performed Exploratory Data Analysis (EDA) on a complex dataset for the initial data pipeline of a customer data platform. - Explored Google Analytics 4 (GA4) for evaluating diverse metrics. - Conducted research on recommendation engines.

Sheba Platform Limited - Data Analyst (16 September 2022 – 12 April 2023) - Responsibilities included NPS (Net Promoter Score) analysis, financial reconciliation, and customer segmentation analysis. - Conducted customer segmentation analysis to enhance retargeting strategies and optimize telesales operations for further growth.

Sheba Platform Limited - Data Analyst, Executive (01 April 2021 – 10 August 2022) - Conducted data analysis and extraction from RDBMS using Metabase for operational reports. - Utilized Metabase and Google Data Studio for interactive data visualization. - Collaborated closely with cross-functional teams and led growth hacking initiatives. - Identified PNL (Profit and Loss) through product analysis, leading to successful product revamp strategies. - Conducted fraud detection analysis for compliance purposes.

Education
Daffodil International University - Bachelor of Science (01 May 2016 – 08 August 2020) - Field of Study: Computer Science & Engineering - Final Grade: 3.89 - Thesis: Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network

Achievements
- Machine Learning Algorithm to Predict Fraudulent Loan Requests – 2021 - Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network – 2020