Data Analyst with 5+ years of experience in data analysis, reporting, dashboard development, and business insights
across telecom, healthcare, and finance domains. Strong expertise in SQL, Python, Power BI, Tableau, Exc…
Data Analyst with 5+ years of experience in data analysis, reporting, dashboard development, and business insights
across telecom, healthcare, and finance domains. Strong expertise in SQL, Python, Power BI, Tableau, Excel, and
statistical analysis. Proven ability to transform complex datasets into actionable insights to support strategic decision
making. Actively seeking Data & Business Analyst opportunities in the UAE market.
Analyzed large operational and business datasets to identify trends, patterns, and performance gaps.
Built interactive Power BI and Tableau dashboards to track KPIs, improving stakeholder visibility and decision-making.
Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python (Pandas, NumPy).
Wrote optimized SQL queries to extract and analyze data from multiple sources.
Automated recurring reports, reducing manual reporting effort by 35–40%.
Collaborated with cross-functional teams to translate business requirements into data-driven insights.
Developed and deployed predictive models, NLP/GenAI solutions (chatbots, LangChain, LlamaIndex, LangGraph) to automate workflows and deliver business insights.
Built and optimized scalable backend services using Python, SQL, Django, Flask, FastAPI, and REST APIs for seamless data integration.
Designed end-to-end ML pipelines with Scikit-Learn, TensorFlow, and PyTorch for regression, classification, clustering, forecasting, and deep learning (CNN, RNN, LSTM).
Created interactive dashboards and reports using Power BI, Tableau, Excel, Matplotlib, and Seaborn to visualize KPIs and support decision-making.
Implemented cloud and DevOps practices across AWS, Azure, and GCP with Docker, Git, and MLOps to streamline deployment and monitoring.
Designed and deployed scalable ML pipelines using Scikit-Learn, TensorFlow, and PyTorch, reducing model training and inference time by 40%.
Responsibilities: • Analyzed large operational and business datasets to identify trends, patterns, and performance gaps. • Built interactive Power BI and Tableau dashboards to track KPIs, improving stakeholder visibility and decision making. • Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python (Pandas, NumPy). • Wrote optimized SQL queries to extract and analyze data from multiple sources. • Automated recurring reports, reducing manual reporting effort by 35–40%.
Developed scalable backend systems using Python, Django, Flask, and Fast API.
Designed RESTful APIs integrating frontend/mobile applications.
Improved database performance with optimized SQL queries.
Used Docker for containerization and deployed services on AWS.
- Worked closely with product and business teams to analyze hospital operations and system performance.
- Delivered data-backed insights to improve process efficiency and system scalability.
- Designed optimized SQL queries supporting reporting and operational analytics.
- Supported deployment and monitoring of business applications on AWS.
Responsibilities: Delhi, India March-2023 to Present • Analyzed large business and operational datasets to identify performance gaps, trends, and revenue-impacting insights. • Designed Power BI and Tableau dashboards for leadership, improving KPI visibility and strategic decision-making. • Collaborated with business stakeholders to translate requirements into data-driven reports and actionable insights. • Automated recurring MIS and performance reports, reducing manual effort by 35–40%. • Built SQL queries and data models to support business reviews, forecasting, and operational planning. • Supported management with monthly, quarterly, and ad-hoc analysis for informed decision-making. • Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python (Pandas, NumPy).
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