Skills & Expertise

A comprehensive overview of my technical skills, data philosophy, and learning journey in data analytics and engineering.

Technical Skills

Data Analytics

  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis
  • KPI & Metrics Analysis
  • Data Visualization
  • Dashboard Design

Programming & Querying

  • Python (Pandas, NumPy, Matplotlib)
  • SQL (Joins, Aggregations)
  • Excel (Pivot Tables, Charts)
  • APIs & Data Extraction

Data Engineering

  • ETL / ELT Concepts
  • Data Pipelines
  • Data Modeling (Star Schema)
  • CSV & JSON Handling

Tools & Technologies

  • Git & GitHub
  • Power BI
  • Node.js & FastAPI
  • REST APIs
  • Vector Databases

Skill Proficiency

Python (Pandas, NumPy) 85%
SQL (Joins, Aggregations) 90%
Excel & Power BI 80%
Data Visualization 80%
ETL Pipelines 70%
APIs & Backend Development 75%

How I Think About Data

01

Data tells stories, but context gives them meaning

02

Every dataset has a question waiting to be answered

03

Clean data is the foundation of reliable insights

04

Visualization is not decoration—it's communication

05

Question assumptions, validate with data, iterate on insights

06

The best analysis drives action and creates impact

Data Insights Dashboard

Sample Sales Analysis

$248K
Total Revenue
+18%
Avg. Growth
Electronics
Top Category

My Data Journey

Foundation

BCA Student - Building Computer Science Foundation

Currently pursuing Bachelor of Computer Applications (2nd Year). Learning programming, data structures, algorithms, and database management. Developing strong analytical and problem-solving skills.

First Project

First Python Project - Data Cleaning

Applied Pandas and NumPy to clean and preprocess real-world datasets. Learned data transformation, handling missing values, and data quality assurance.

Mastery

SQL Mastery - Complex Joins & Analytics

Mastered advanced SQL: complex joins, window functions, CTEs, and query optimization. Built analytics queries for business insights.

Professional

Data Analytics Internship - Real-World Experience

Gained hands-on experience analyzing business data, creating dashboards, and building data pipelines. Worked with SQL databases, Python scripts, and visualization tools to deliver actionable insights.

Advanced

Advanced Analytics - ML & Data Engineering

Exploring machine learning fundamentals, RAG pipelines, vector databases, and advanced data engineering concepts. Building end-to-end data solutions.

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