Sk Samim Ali

WORK HISTORY

EDUCATION

ABOUT SK SAMIM ALI

I am a highly motivated and detail-oriented Data Science postgraduate from Banaras Hindu University(2025), I also have 2 Years of Experience as Data Analyst, right after my BCA and currently working as Data Analytics and MIS Specialist under Marsh Planning and Engineering Service PVT. LTD. with a strong foundation in Python, SQL, Statistics, and ML. I have hands-on experience in building predictive models, performing exploratory data analysis and creating insightful dashboards using tools like Power BI and ExcelMy academic and internship and Work experience projects have equipped me with the skills to solve real-world problems through data-driven decision-making. I am passionate about uncovering patterns in data and contributing to business success through actionable insightsSkills: Data Analysis, Data Visualization, Data Pre-processing, Data Manipulation, Finding Data insight, ETL(Extract Transform Load), Business Analysis, Business Intelligence. Excel: Pivot Table, Power Query, Conditional Formatting, Array Formulas, Calculated Measure, Calculated Column, Pivot Chart, Sorting and Filtering, Data Validation, Date & Time Functions, Charts and Graphs (Bar, Line, Pie, etc.), PivotTables & PivotCharts, Removing Duplicates, Power Pivot, Advanced Filters, Recording Macros, Dashboard and Reporting: Interactive Dashboards, Slicers & Timeline, KPI Indicators, Form Controls (Checkboxes, Drop-downs, etc.), Linking Charts with Slicers, Professional Layout & DesignPower BI: Power BI Desktop, Power BI Service, Power Query Editor, Data Transformation, Data Modeling, DAX (Data Analysis Expressions), Creating Relationships between Tables, Calculated Columns and Measures, Custom Visuals, Creating Dashboards, Interactive Reports, Using Slicers and Filters, KPI Indicators, Q&A, Report Sharing and Collaboration,SQL Server, and Web Sources, Time Intelligence Functions in DAX,SQL: SQL Basics, Data Types, SELECT Statements, WHERE Clause, ORDER BY, GROUP BY, HAVING Clause, JOINs (INNER, LEFT, RIGHT, FULL), Subqueries, Aliases, DISTINCT, Aggregate Functions (COUNT, SUM, AVG, MAX, MIN), BETWEEN, IN, LIKE, IS NULL, CASE Statement, UNION and UNION ALL, INSERT Statement, UPDATE Statement, DELETE Statement, CREATE TABLE, ALTER TABLE, DROP TABLE, Primary Keys, Foreign Keys, Constraints (NOT NULL, UNIQUE, CHECK), Window Functions (ROW_NUMBER, RANK, PARTITION BY), CTE (Common Table Expressions),Python, Data Science: Machine Learning, Deep Learning, NLP.Probability Distribution Theory, Statistics, Bayesian Analysis.Language: C, Java, Python (DSA).AWS Basics.