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Haritha S

Haritha S

M.Sc. Applied Data Science student

Chennai, India 0+ yrs exp 85 · Excellent

About

M.Sc. Applied Data Science student with hands-on experience in Python, SQL, ETL pipelines, web scraping, and database development through internship and projects. Skilled in data cleaning, transformation, automation, PostgreSQL, SQL Server, pandas, and Streamlit. Experienced in building structured data pipelines, automated reports, and interactive dashboards for real-world data applications.

Skills & Expertise (30)

Python Intermediate
6.5/10
0.2
Years Exp
ETL Pipeline Development Intermediate
6.5/10
0.2
Years Exp
Pandas Intermediate
6.5/10
0.2
Years Exp
BeautifulSoup Intermediate
6.5/10
0.2
Years Exp
Requests Intermediate
6.5/10
0.2
Years Exp
SQL Intermediate
6.0/10
0.2
Years Exp
NumPy Intermediate
6.0/10
0.2
Years Exp
OpenpyXL Intermediate
6.0/10
0.2
Years Exp
Postgresql Intermediate
6.0/10
0.2
Years Exp
Object Oriented Programming Intermediate
5.5/10
0.2
Years Exp
PyCharm Intermediate
5.0/10
0.2
Years Exp
Modular Architecture Intermediate
5.0/10
0.2
Years Exp
Git Intermediate
5.0/10
0.2
Years Exp
GitHub Intermediate
5.0/10
0.2
Years Exp
SDLC Concepts Beginner
4.5/10
0.2
Years Exp
SNS Beginner
3.5/10
0.2
Years Exp
SSMS Beginner
3.5/10
0.2
Years Exp
Power BI Beginner
3.5/10
0.2
Years Exp
Athena Beginner
3.5/10
0.2
Years Exp
AWS Glue Beginner
3.5/10
0.2
Years Exp
EC2 Beginner
3.5/10
0.2
Years Exp
SQS Beginner
3.5/10
0.2
Years Exp
CloudWatch Beginner
3.5/10
0.2
Years Exp
Lambda Beginner
3.5/10
0.2
Years Exp
RDS Beginner
3.5/10
0.2
Years Exp
VPC Beginner
3.5/10
0.2
Years Exp
IAM Beginner
3.5/10
0.2
Years Exp
S3 Beginner
3.5/10
0.2
Years Exp
IDLE Python Beginner
3.0/10
0.2
Years Exp
Streamlit Beginner
3.0/10
0.2
Years Exp

Work Experience

Software Developer Intern

NiyamTek Services Private Limited

Jun 2026 - Aug 2026

Extracted, cleaned, and transformed multi-bank property auction data using a Python-based web scraping and ETL pipeline (requests, BeautifulSoup, pandas) with structured, modular architecture. Validated and corrected date, currency, and location fields through custom Python logic, improving data quality and consistency across extracted records. Designed a PostgreSQL database schema and implemented SQL-based incremental upsert logic (insert/update/close) to preserve historical data while keeping records current. Automated Excel report generation using Python (openpyxl), storing finalized reports in a structured output folder for downstream business use. Configured Windows Startup folder automation to run the Python ETL/scraping pipeline daily without manual intervention, while providing regular progress updates to the team.

Education

M.Sc. in Data Science - SRM Institute of Science and Technology

- 2027 · Afghanistan

B.Sc. in Computer Science - Sathyabama Institute of Science and Technology

- 2025 · Afghanistan

Certifications

Power BI for Business Professional

Infosys Springboard · 2026

Getting Started with AWS Services Fundamentals for Beginners

AWS · 2026

Data Analyst Boot Camp

Udemy · 2024

Python Certification (ISO Verified)

· 2023

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceSep 2026