Fida Ullah Khan

Data Analyst · Product Analytics · Gaming Data Science

Islamabad, Pakistan

@fida_ullah

0 followers

About

Data Analyst / Product Data Scientist with 4+ years of experience in gaming, mobile app analytics, and freelance analytics. Experienced in SQL, Python, BigQuery, GCP, experimentation, and LLM-powered analytics to improve monetization, campaign efficiency, reporting automation, and product decisions.

Experience

Data Analyst

Inspired Square · Dubai

Jul 2022 – Present

Analyzed player behavior, retention, revenue, and campaign data to identify growth opportunities across multiple mobile games. Built real-time executive dashboards, designed A/B tests, optimized game economy and difficulty curves, automated reporting pipelines, developed fraud detection pipelines, and collaborated with product and user acquisition teams.
Data Analyst

Freelance

Jun 2021 – Jul 2022

Collected, cleaned, and transformed large datasets to improve data quality, reliability, and reporting accuracy. Used SQL and Python to analyze user behavior, operational metrics, and business performance trends, and built KPI dashboards, Excel models, and automated Google Sheets reports.

Education

Bachelor of Electrical Engineering

University of Engineering and Technology, Lahore

Electrical Engineering · Aug 2018 – Jun 2022

Skills

5 to 8 years

SQL Python Dashboarding Data Analysis

2 to 5 years

A/B Testing KPI Tracking Monetization Fraud Detection Funnel Analysis Cohort Analysis Product Analytics Campaign Optimization

<3 months

NumPy Pandas User Acquisition

Tools / apps / platforms

2 to 5 years

GCP Gemini BigQuery Appsflyer Vertex AI

1 to 2 years

Google Sheets Microsoft Excel

<3 months

Firebase Power Query Looker Studio Jupyter Notebook Google Looker Analytics

Projects

Fraud Detection & Media Source Analysis

Created pipelines to detect fake users and bot traffic across media sources, reducing wasted ad spend.
Campaign Optimization using CatBoost & LTV Modeling

CatBoost

Built early-stage campaign optimization workflows to improve spend efficiency and reduce inefficient marketing budget.
A/B Testing - Retention & Churn

Designed experiments for X2 Blocks and 2248 Game, improving Day 7 retention and reducing early-stage churn.
Executive Dashboard for Leadership

Centralized real-time dashboard for CEOs and directors to track revenue, retention, user acquisition, and product KPIs.
AI Data Analytics Assistant

AppsFlyer API, Vertex AI, Gemini, BigQuery

LLM-powered analytics assistant that answers product and marketing questions in natural language and pulls ROAS and retention data from AppsFlyer API; generates SQL with Gemini for BigQuery results.

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