---
title: "Oishika Bose - Data Analyst Intern in Kolkata | Tal"
description: "Meet Oishika Bose, Data Analyst | SQL • Power BI • Python • Advanced Excel • Tableau • AI/ ML | Turning raw data into business decisions | Open to Data/MIS/Business/Marketing/ Research Analyst roles based in Kolkata."
image: "https://tal.club/meet/oishika/share-image"
---

# Oishika Bose on Tal

## Headline

Data Analyst \| SQL • Power BI • Python • Advanced Excel • Tableau • AI/ ML \| Turning raw data into business decisions \| Open to Data/MIS/Business/Marketing/ Research Analyst roles

## About

I'm a Data Analyst based in Kolkata with a B\.Sc\. in Information Technology and an MBA in Marketing — a combination that lets me both query the data and understand the business question behind it\. Through my Data Analytics certification and internship at Webskitter Technology Solutions Pvt Ltd, I've built six end\-to\-end projects analyzing UPI transactions, Flipkart sales, marketing campaign performance, Samsung and DataCo supply chains, and global cybersecurity threats\. Each one takes raw data through cleaning, analysis, and an interactive dashboard that answers a real business question\. Tools I work with daily: SQL/MySQL, Python \(Pandas, NumPy, Matplotlib, Seaborn\), Power BI \(DAX, Power Query\), Tableau, and Advanced Excel \(Pivot Tables, XLOOKUP, dashboards\)\. I'm an immediate joiner, open to Data Analyst, Business Analyst, MIS Analyst/Executive, Marketing Analyst, Research Analyst or any Analyst roles — remote or Kolkata\-based\. 📂 Portfolio: \[github\.com/Oishika05\] \| 📧 boseoishika@gmail\.com

## Location

Kolkata

## Work experience

Data Analyst Intern at WEBSKITTERS TECHNOLOGY SOLUTIONS PRIVATE LIMITED, Apr 2026 \- May 2026 · 2 mos, Kolkata, Analyzed 829K\+ sales records across 50 Maven Toys stores in Mexico \(2022–23\) using Power BI\. Modeled 6 tables into a star schema and built an interactive dashboard covering sales, products, inventory, stores, and forecasting\. Key findings: $14\.44M revenue growing \+30\.9% YoY, yet 20 SKUs out of stock while other products sat in excess — simultaneous lost sales and holding costs; weekend days \(Fri–Sat\) drive peak sales\. Recommended demand forecasting, rebalanced stock allocation, and weekend\-focused promotions\. \#Power BI \#Data Modeling \#DAX \#Retail Analytics \#Inventory Analysis

## Education

Data Analytics, WebSkitters Academy

Master of Business Administration \- MBA, Marketing/Marketing Management, General, Dr\. D\. Y\. Patil Vidyapeeth

[View the original profile](https://tal.club/meet/oishika)

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