Neha Pole

Entry-level Data Analyst, Business Analyst, or Python Developer

Pune, Maharashtra 1+ yrs exp 82 · Excellent

About

Final-year BCA student with a software/data analytics internship at Bluestock Fintech, where I built a Python-based financial intelligence platform covering ETL, EDA, and dashboard development for Nifty 100 companies. Google AI Professional Certified, with strong Python, SQL, and data visualization skills. Seeking an entry-level Data Analyst, Business Analyst, or Python Developer role.

Skills & Expertise (26)

Python Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Streamlit Intermediate

7.0/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

ETL Intermediate

6.5/10

Years Exp

Data Cleaning Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

SQLite Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Plotly Intermediate

6.0/10

Years Exp

Reporting Intermediate

6.0/10

Years Exp

MS Excel Intermediate

6.0/10

Years Exp

Financial Analysis Intermediate

6.0/10

Years Exp

SQL Queries Intermediate

6.0/10

Years Exp

CRUD Operations Intermediate

5.5/10

Years Exp

DBMS Intermediate

5.5/10

Years Exp

Rest API Intermediate

5.5/10

Years Exp

Git Intermediate

5.5/10

Years Exp

Prompt Engineering Beginner

5.0/10

Years Exp

GitHub ReportLab OpenpyXL EDA CSS HTML

Work Experience

Software & Data Analytics Intern

Bluestock Fintech

Jan 2025 - Jan 2026

Built a Streamlit-based Financial Intelligence Dashboard with 8 interactive screens, performing end-to-end ETL, data cleaning, and EDA on Nifty 100 company datasets with a normalized SQLite backend. Developed financial ratio analysis, peer comparison, stock screener, and valuation modules, plus cash flow intelligence, capital allocation, and risk-metric analysis to support investment research. Built an NLP-based pros-and-cons generation module to automatically summarize company strengths and risk factors. Automated company tearsheets, sector reports, and portfolio summary reports using Python, ReportLab, and OpenPyXL, cutting manual reporting effort. Debugged and optimized data processing pipelines and dashboard performance to improve reliability and load speed.