About
Results-driven Data & Business Analyst with 2+ years of experience transforming complex data into actionable insights that drive business decisions. Proficient across the full analytics lifecycle — data collection, cleaning, and pipeline management through to exploratory analysis, statistical modelling, dashboard development, and executive-level reporting. Strong command of Excel (Pivot Tables, Power Query, advanced formulas), Power BI, Tableau, SQL, and Python. Experienced in requirements gathering, BRD documentation, process improvement, KPI tracking, variance analysis, and cross-functional stakeholder communication. Adept at working independently in remote environments and collaborating with finance, product, operations, and technology teams in Agile settings. Exposure to machine learning and AI through hands-on projects.
Skills & Expertise (35)
Work Experience
Data Analyst Executive
Reliance Games
May 2024 - Present
Gathered, cleaned, and preprocessed large datasets from multiple sources, ensuring data accuracy, consistency, and pipeline reliability across all reporting and analytics workflows. Built interactive Power BI and Tableau dashboards tracking KPIs, churn, revenue, and player engagement metrics — enabling self-serve analytics and data-driven decisions for product, UA, and finance teams. Conducted exploratory data analysis to identify trends and patterns in player behavior, game economy, and campaign performance; applied statistical methods to derive actionable insights. Prepared standard and ad-hoc MIS reports, variance analyses (actual vs. budget/forecast), and stakeholder-ready PowerPoint presentations on a weekly and monthly basis. Automated reporting workflows using SQL, Python, and Excel (Power Query, Pivot Tables, advanced formulas), significantly reducing manual effort and accelerating data delivery. Gathered and documented business requirements from cross-functional stakeholders, translating needs into functional data solutions, process flows, and reporting specifications. Collaborated with UA, product, and finance teams across sourcing, operations, and category functions to identify trends, risks, and optimization opportunities. Evaluated and improved existing data processes, building automated pipelines to streamline extraction, transformation, and accessibility of large datasets. Optimized in-game packs through segmentation analysis and KPI-driven pack strategy, achieving 15–20% monthly revenue growth. Conducted A/B tests on pricing and product features, providing structured, evidence-based recommendations to guide strategic product decisions. Maintained detailed documentation of processes, methodologies, and findings to support continuous improvement and team knowledge transfer.
WBL Intern
Centre for Development of Advanced Computing (CDAC)
Sep 2023 - Mar 2024
Built a conversational AI chatbot using Rasa, implementing NLU, dialogue management, entity extraction, and multilingual support — demonstrating applied ML/AI knowledge in a production-ready project. Gathered and documented functional requirements, collaborated with team members to translate user needs into technical specifications, and produced structured project documentation and process flows.
Education
PG Diploma in Big Data Analytics - CDAC Bangalore
- 2023 · Afghanistan
B.E. Electronics Engineering - VESIT Mumbai
- 2022 · Afghanistan
Certifications
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Skills (35)
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