---
title: "Priyanka Das - Data Science in Bengaluru | Tal"
description: "Meet Priyanka Das, Data Analyst | SQL, Python, Power BI | KPI Dashboards & Data Analytics | Open to Work based in Bengaluru. AI stack includes aistudio, gemini, and langchain."
image: "https://tal.club/meet/priyanka-25/share-image"
---

# Priyanka Das on Tal

## Headline

Data Analyst \| SQL, Python, Power BI \| KPI Dashboards &amp; Data Analytics \| Open to Work

## About

Data Analyst with hands\-on experience in SQL, Python, and Power BI, focused on transforming raw data into Data Analyst with hands\-on experience in SQL, Python, and Power BI, focused on transforming raw data into actionable business insights\. I have worked on large\-scale datasets \(100K\+ records across 21 countries\) and built analytics pipelines for anomaly detection, data validation, and insight generation\. My experience includes data cleaning, exploratory data analysis \(EDA\), KPI tracking, and dashboard development\. 🔹 Key Work: • Built analytics pipeline using statistical methods \(MAD, Z\-score\) for anomaly detection • Developed healthcare dataset \(100K\+ records\) using government sources and web scraping • Designed data validation system to improve data accuracy and reliability 🔹 Projects: • Swiggy Data Analysis – KPI dashboard for order trends &amp; delivery performance • Customer Segmentation – Identified customer groups using K\-Means • Business Performance Dashboard – YoY &amp; QoQ KPI tracking • Forensic Crime Detection – Patent\-published system using CCTV data 🔹 Skills: SQL \| Python \| Power BI \| Excel \| Data Cleaning \| EDA \| KPI Analysis I am currently seeking Data Analyst opportunities where I can apply my analytical skills to solve real\-world business problems\. 📌 Portfolio: https://github\.com/Webwavercode

## Location

Bengaluru

## AI stack

aistudio

gemini

langchain

openai

## Work experience

Data Science at Solutionec, Sep 2025 \- Present · 10 mos, Bengaluru, \-Built an automated analytics pipeline for anomaly detection and root\-cause analysis using MAD and Z\-score methods \-Developed a healthcare dataset with 100K\+ records across 21 countries using APIs and web scraping \-Designed a data validation and enrichment system to improve data accuracy and reliability

Data Analyst at TechElevare, Aug 2025 \- Sep 2025 · 2 mos, Remote

## Education

Bachelor of Technology \- BTech, Computer Science, Dayananda Sagar University

12th, Science, Shishu Bihar HS school

[View the original profile](https://tal.club/meet/priyanka-25)

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