Hassan Sait

Data Analyst

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Developed scalable data pipelines for large datasets.
Designed impactful dashboards for strategic decision-making.
Adept at translating complex data into actionable insights.

Stackforce AI infers this person is a Data Analyst skilled in SaaS environments, focusing on data-driven decision-making.

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Skills

Core Skills

Data AnalysisData VisualizationBig Data Processing

Other Skills

Analytical TechniquesData CleaningData ManipulationData ReportingData TransformationDatabasesExploratory Data AnalysisJupyterLaptopsMS excelMatplotlibMicrosoft ExcelMySQLNumPyPandas

About

Results-driven Data Analyst with 1 year of experience delivering data-driven solutions using Python, SQL, Pandas, NumPy, PySpark, and Power BI. Skilled in data cleaning, transformation, visualization, and predictive analytics to support strategic business decisions. Experienced in managing and analyzing large datasets from SQL and Big Data platforms, designing impactful dashboards, and building predictive models to improve operational efficiency and business outcomes. Adept at collaborating with cross-functional teams to translate complex datasets into actionable insights. Core Competencies ♦ Languages & Tools: Python, SQL, PySpark, Pandas, NumPy, Matplotlib, Seaborn ♦ Data Visualization: Power BI, Basics of DAX ♦ Databases: MySQL, Basics of Hive ♦ Data Handling: Exploratory Data Analysis (EDA), ETL Pipeline ♦ Big Data Processing: Spark DataFrames, RDDs, Joins, Aggregations ♦ Business Skills: Requirement Gathering, Development and Unit Testing.

Experience

Dorothy foods

Data Analyst

Jun 2024 – May 2025 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Developed end-to-end PySpark data pipelines for cleaning, transforming, and processing millions of transaction records, ensuring high performance and scalability.
Designed and deployed Power BI dashboards integrating SQL Server and Spark datasets.
Performed Exploratory Data Analysis (EDA) with Pandas and NumPy to identify key trends, correlations, and anomalies in large datasets.
Engineered optimized joins and aggregations in PySpark to efficiently handle datasets exceeding 10GB in size.
Delivered drill-down Power BI reports for product-level analytics to support strategic decision-making.
Developed comprehensive project reports pertaining to the sales team, providing actionable insights to enhance company performance in both sales and productivity.

PySparkPower BIPandasNumPySQLData Analysis+1