Contributed to the Google News Initiative by developing a personalized content recommendation engine for local news; currently part of the core data team.

Responsibilities:

•  Automated event tracking and live content pipelines using GCP, BigQuery, and Python-MySQL workflows. 

• Developed hybrid recommendation engine (Collaborative + NLP-based) with location personalization. 

• Deployed cloud functions to optimize Compute Engine VM usage for recommendation runs. 

• Created AI-based metadata tagging workflow for archived Bengali news using Gemini API; integrated human validation for accuracy. 

• Implemented Looker dashboards and GA4 events to monitor audience engagement. 

Impact:

•  Recommendation system achieved 3,000 DAU, 60% reader retention, and 4.5% CTR.

• AI metadata workflow saved multiple years of manual tagging effort.

• Successfully executed Google News Initiative project and secured funding milestone.

Skills Overview:

Research, Google Cloud Platform (GCP), Google BigQuery, Google Data Studio, Python (Programming Language), Collaborative Filtering, NumPy, Pandas, Machine Learning, Natural Language Processing (NLP), GenAI, Google Analytics (GA4)

Started with SaaS platform (sManager/Sheba Manager), specializing in its fintech feature through on-demand reporting, dashboard development, product analysis, and business growth assessment. Later transitioned to core service platform (sheba.xyz), where I focused on customer segmentation, performance monitoring, and collaboration with strategy and marketing teams to drive growth initiatives.

Responsibilities:

• Provided analytics for Sheba Pay fintech, supporting EMI and digital transaction features.

• Built dashboards for business (SME partners, KAM KPIs) and product (CRASH, ANR, feature outcomes, P&L).

• Designed role-based fraud detection queries in MySQL to prevent operational losses.

• Detected fintech product breaches caused by third-party gateway errors, informing feature discontinuation.

• Collaborated with business and product teams to design campaigns and track execution.

• Conducted customer clustering/segmentation (RFM/E) to optimize marketing strategy.

• Managed telesales cohorts (120+ agents) for cold calls, churn follow-ups, and new registrations.

Impact:

• Early detection of product breaches prevented potential losses.

• Optimized marketplace performance and increased campaign effectiveness.

• Telesales contributed to approximately 55% of total sales.

Skills Overview:

MySQL, Data Visualization, MetaBase, Google Data Studio, Google Analytics, Data Analysis, Google Sheets, Microsoft Excel, Vlookup, Pivot Tables, FinTech, Financial Analysis, Strategic Planning, Growth Hacking, Campaign Strategy Development, CleverTap

Responsibilities:

•  Assisted faculty members with their course-related works.

• Conducted tutorial sessions for students.

• Was in charge of student evaluation and their work.