Dynamic Business & Data Analyst with 3+ years of experience delivering predictive analytics, KPI-driven dashboards, and automated data solutions that drive measurable business growth.
- 📊 Business & Data Analyst specializing in Predictive Modeling, KPI Tracking & Automation
- 🧠 Expert in Python · BigQuery · Power BI · Advanced Excel
- ⚙️ Strong experience across Retail, SaaS, E-commerce, Finance & Energy
- 🤝 Collaborates closely with C-suite & cross-functional teams
- 🌍 Based in Dubai, UAE
- 📊 Improved customer retention by 18% using churn & CLV models
- 💰 Generated AED 150K quarterly revenue via conversion optimization
- ⚙️ Reduced manual reporting effort by 60% through ETL automation
- 🎯 Increased NLP classification accuracy by 20%
- ⚡ Reduced forecasting RMSE by 15% using ensemble time-series models
📍 Dubai, UAE | 🗓 Nov 2024 – Present
- Designed and deployed predictive analytics & ML models (churn, CLV, segmentation, conversion)
- Built executive-level Power BI dashboards (DAX, Power Query)
- Automated ETL pipelines using Python, BigQuery & Google Sheets
- Delivered forecasting, budgeting & performance models to leadership
- Implemented data governance frameworks to improve accuracy & trust
📍 Hyderabad, India | 🗓 Jun 2023 – Aug 2024
- Built NLP sentiment pipelines using NLTK & Scikit-learn
- Automated web scraping using Selenium
- Developed LSTM, ARIMA & Prophet forecasting models
- Created solar power and bankruptcy risk prediction systems
📍 Hyderabad, India | 🗓 May 2022 – May 2023
- Automated seller operations using Excel macros & ETL
- Improved process efficiency by 15%
- Designed SOPs & improved catalog data integrity
Languages & Tools
Python, Power BI, Advanced Excel, SQL, BigQuery
Libraries & Frameworks
Pandas, NumPy, Scikit-learn, TensorFlow, Keras
Matplotlib, Seaborn, Plotly
Streamlit, Flask, REST APIs
Cloud & DevOps
AWS, Azure, GitHub
- Bankruptcy Prevention System — Ensemble ML (22% accuracy improvement)
- Apple Stock Forecasting — LSTM + ARIMA + Prophet (85% accuracy)
- NLP Sentiment Analysis — Real-time scraping & classification
- Solar Power Prediction — Deployed with Streamlit (88% accuracy)
Open to Data Analytics, Power BI, Machine Learning & Business Intelligence projects.

