Candidate

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First Name: Syed Reehan
E-Mail Address: reehansyed2110@gmail.com
Country: India
Phone: 8123357756
Current Job Designation: Data analyst intern
Job Designation Applying For: Data analyst
Total Years of Experience: 1
Copy your Resume / CV in this box: Syed Reehan

Email: rechansyed2110@gmail.com

Phone +91 8123357756|

Linkedin linkedin.com/in/reehanayud |

GitHube github.com/rechanayed

Profile Summary

Data Analyst skilled in SQL, Python, Excel, Power BI, and Tableau, with expertise in data cleaning, analysis, and visualization. Proficient in dashboard creation and delivering actionable insights. Currently applying analytical skills in a data analyst internship, working on real-world projects. Seeking a Data Analyst role to growth through insights.

Education

Bachelor of computer applications; GPA:8 DBIMSCA, Bangalore, Karnataka

October 2021-August 2024

Technical Skills.

Languages: Python, SQL.

Libraries: Pandas, Numpy, Matplotlib, Seaborn, Machine Learning Basics

Data Visualization: Power BI, Tableau, Advance Excel, MS Office, PowerPoint, VLOOKUP, Pivot Tables, Forecasting

Databases and Platforms: MySQL, SQL Server, VS Code, Jupyter Notebook, Predictive Analytics, Web Scraping

Data Analytics: Data Cleaning, Statistics, Data Quality, Data Extraction, Reporting, Data Modeling, Data Governance

Other skills: ETL, Data Visualization, EDA, Critical Thinking, Problem Solving, Attention to Detail, Communication

Work Experience.

DATA ANALYST INTERN | Learnvista Pvt Ltd, Bangalore

August 2024-Present

Cleaned and processed 1M+ rows of data using Python (pandas, NumPy), SQL, and Excel, improving data accuracy

by 97%

Built interactive dashboards in Power BI, Tableau, and Excel, enhancing business reporting efficiency by 35%.

Performed EDA, statistical analysis, and trend forecasting on sales and customer data, driving a 15% revenue increase.

Optimized complex SQL. queries and database performance, reducing data retrieval time by 50%.

Applied data wrangling, feature engineering, statistical analysis, and business intelligence techniques to extract actionable insights, Economic and Market Analysis.

Projects

Sales Performance & Churn Analytics SQL | Excel | Power BI | view project

Conducted performance-tuned SQL analysis on 10k+ B2B sales records, improved query efficiency by 60%

through discovery of revenue-driving patterns.

Utilized SQL joins, CTEs, window functions, aggregations, and filtering to segment deals, evaluate win/loss ratios, and calculate average deal closure time.

Identified key accounts, seasonal trends, and churn risks, improving forecasting accuracy by 22%.

Delivered business-ready SQL. insights to support retention strategy, sales planning, and pipeline optimization.

Credit Card Financial Dashboard | Power BI | SQL | view project

January-2024

Built a real-time Power BI dashboard to analyze credit card transactions and uncover customer behavior.

conducted exploratory data analysis (EDA) and performed data modeling using relationships and star schema

design for optimized report performance.

Implemented DAX measures, drill-through filters, bookmarks, and custom visuals to enable dynamic

exploration of KPIs.

Delivered 96.4% reporting accuracy, ensuring reliable insights on transactions and customer segments.

Telecom Customer Churn Analysis Python | view project

May-2025

Performed end-to-end churn analysis for a telecom provider to uncover retention risks and behavioral patterns. Cleaned, transformed, and validated raw data using Pandas, ensuring high data quality and analytical accuracy.

Visualized key churn drivers using Matplotlib and Seaborn, supporting data storytelling for stakeholders.

Certificates

Introduction to Data Analytics (IBM)

Gained hands-on experience in SQL, Power BI, Python, and data visualization techniques.

Mastered data gathering, identification, and cleaning for analysis preparation.

+ Google GO

Everyday
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