Hello!

I'm Arbab Karim



Associate Business Analyst

My works

Name: Arbab Karim

Job Role: Associate Business Analyst

Experience: 2 Years

Address: Bangalore, India

Skills

SQL 80%
Excel 85%
Power BI 75%
PYTHON 60%
Problem Solving 85%

About

About Me

With over 2 years of experience as an Associate Business Analyst, contributing to informed decision-making through statistical analysis, data visualization, and data analysis. Proven expertise in leveraging tools such as SQL, Excel, Python, and Power BI. Results-driven with a strong foundation in analytical techniques and business operations, and a passion for addressing complex challenges

  • Profile: Data Analyst
  • Education: Bachelor of Technology
  • Language: English, Hindi
  • Skills: SQL, Excel, Power BI, Python, ADB, ADF, Jira, KQL, Problem Solving & Analytical Ability

0 +   Projects completed

LinkedIn

Resume

Resume

Results-Driven Data Professional | 2 Years of Expertise in SQL, Excel, Power BI, and Python | Committed to Unleashing Innovative Data Solutions for Informed Decision-Making.

Experience


Nov 2022-Present

Systems Engineer

Infosys Limited

  • Extensively leveraged SQL Server for data manipulation, extraction, and transformation, addressing client queries and ensuring data integrity.
  • Conducted in-depth analyses with SQL, Excel, and Power BI, identifying patterns and insights to support banking services.
  • Collaborated with cross-functional teams to process data efficiently, retrieving datasets from various mount points.
  • Developed and maintained Power BI dashboards to monitor monthly and yearly trends, aiding stakeholders in making informed decisions from complex data.

Jul 2024-Present

Associate Business Analyst

Affine Analytics

  • Developed Power BI dashboards for Azure Data Factory Monthly Stats, implementing a robust data observability solution to monitor the health and performance of data pipelines across commercial and R&D data products for a global animal healthcare leader.
  • Designed KPIs such as Total Health, Top 10 Failed Pipelines, Success Rate Trends, Data Freshness, and other KPIs, integrating insights via KQL from Azure Data Explorer.
  • Extracted SQL Server data to visualize file and row counts, integrating with Power BI.
  • Integrated data from Azure Databricks to provide detailed insights into each data product’s storage and performance metrics.
  • Managed project updates in Jira, ensuring adherence to timelines and objectives



Education


2018-2022

Bachelor of Technology

Jamia Millia Islamia

Grade: 9.16 CGPA

Download Resume

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI, Excel & ML.

Swiggy Data Analysis using SQL

Analyzed swiggy data using advanced SQL queires to identify gaps and increase the business growth.

Road Accident Analysis Dashboard

Created an intuitive dashboard using Microsoft Excel to analyze road accident data for 2021 and 2022. Focused on key metrics such as total casualties, accident severity, vehicle types, and road conditions. Led the project through its entire lifecycle, encompassing data cleaning, processing, analysis, and visualization. Demonstrated expertise in data handling and dashboard creation for informed decision-making on Excel.

IPL Dashboard

Created an interactive dashboard on Power BI for Indian Premier League (IPL) data, offering insights on winners, player statistics, toss impact, venue analysis, and team performance. The entire project, including data import, cleaning, processing, visualization, and insights generation.


Electoral Bond Data Analysis

Used Python and its libraries for analyzing electoral bond data. Conducted data cleaning and exploratory data analysis (EDA) to identify donors and aggregate contributions, as well as to determine political parties and their total contributions. Unveiled insights into donor trends and party financing, providing valuable insights for understanding political funding dynamics.

Marketing Campaign using A/B Testing

Utilized A/B testing to analyze two marketing campaigns—Control and Test. The dataset included metrics such as spend, impressions, reach, website clicks, searches, content views, add-to-cart actions, and purchases. Results indicated that the Control Campaign achieved higher overall sales and engagement, with more products viewed and added to carts. Although the Test Campaign showed a higher conversion rate for carted products, it did not surpass the Control Campaign in total sales. Conclusion: The Control Campaign is optimal for broad product marketing, while the Test Campaign is better suited for targeting specific products to niche audiences.

More projects on Github

Exploring Data to Uncover Insights and Drive Business Success


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Bangalore, India

Contact Number

+91 6205669030

Email Address

arbabkarim10@gmail.com

Download Resume

Resume Link



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