pramod Choudhary

pramod Choudhary

Data Analyst
India
Rajasthani, Hindi, English

About Me

Hi,I'm Pramod Choudhary, I have completed my MBA in Business Analytics & HR in 2024 from PUNJAB TECHNICAL UNIVERSITY. Also I have a specialization in Data Analyst with a 1 year internship from Pune.


I am a Data Analys…

Experience

Data Analyst Intern

Webcorestone Software Solutions
Dec 2024 - Jun 2025 · 6 months

<p>Assisted in data collection, cleaning, and pre-processing to ensure high-quality datasets.<br>
Created summary reports and dashboards for client projects using Power BI.</p>

Data Analyst Intern

Webcorestone Software Solutions
Dec 2024 - Jun 2025 · 6 months

Assisted in data collection, cleaning, and pre-processing to ensure high-quality datasets. Created summary reports and dashboards for client projects using Power BI.

PROJECTS

E-Commerce Sales-Trend Analysis

webcorestone software solution · github.com/pramod-choudhary
Duration : 28-Jul-2025 - 30-Jul-2025

<p>E-Commerce Sales Trend Analysis Project</p><p>📌 Objective</p><p>Analyzed large-scale e-commerce sales data to uncover seasonal trends, customer behavior, and product performance. The goal was to generate actionable insights that support marketing, inventory, and pricing strategies.</p><p>📊 Key Highlights</p><p>- Conducted data cleaning & preprocessing to ensure accuracy.</p><p>- Built pivot tables & dashboards in Excel to visualize monthly, quarterly, and yearly sales growth.</p><p>- Identified top-performing categories (Electronics, Fashion) and tracked their contribution to overall revenue.</p><p>- Performed customer segmentation analysis, highlighting repeat customers driving ~40–50% of sales.</p><p>- Evaluated discount impact on sales volume vs. profit margins.</p><p>- Delivered regional insights, showing growth opportunities in high-performing geographies.</p><p>🛠 Tools & Techniques (Excel)</p><p>- Pivot Tables: For grouping, aggregation, and trend analysis.</p><p>- Charts (Line, Bar, Pie): To visualize sales growth, category performance, and regional comparisons.</p><p>- Conditional Formatting: To highlight top products, profit margins, and anomalies.</p><p>- Formulas & Functions: SUMIFS, AVERAGEIFS, VLOOKUP, INDEX-MATCH for deeper analysis.</p><p>- Data Cleaning: Removing duplicates, handling missing values, formatting dates.</p><p>📈 Business Impact :</p><p>- Helped identify seasonal peaks (Nov–Dec festive season).</p><p>- Supported inventory planning by predicting demand surges.</p><p>- Guided marketing campaigns toward high-value customer segments.</p><p>- Improved profitability analysis by balancing discounts with margins.</p><p></p><p>💡 Takeaway</p><p>This project demonstrates my ability to transform raw data into strategic insights using Excel. It reflects my growing expertise in advanced Excel techniques and my focus on solving real-world business problems through data.</p>

Skills

Excel MySQL Python Reporting Structured Query Language (SQL) Statistics Data Analysis Power BI R Programming Language (R) Tableau NumPy Jupyter Notebook
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