Data Science · B.Tech '27
Turning raw data
into decisions.
I'm Potnuru Teja — a Data Science undergrad who finds the story hiding in messy datasets. Python, SQL, and Pandas are my tools; clean visuals and clear insights are the output.
I treat every dataset as a question
that hasn't been asked yet.
I'm a third-year Data Science student at Anil Neerukonda Institute of Technology & Sciences (ANITS), building a practical foundation across the full analytics workflow — cleaning messy real-world data, exploring it for patterns, and packaging the findings into visuals that someone outside the dataset can actually act on.
My recent focus has been on EDA-driven projects with Pandas and Matplotlib, alongside structured training through Internshala and Kodacy. I'm now sharpening DSA and SQL fundamentals to round out the analyst-to-data-scientist pipeline, and actively looking for an internship where I can apply that to a live product or business problem.
8.02 / 10
CGPA
3+
Datasets analyzed
Python · SQL · Pandas
Core stack
2027
Graduating
Two datasets, two stories.
Netflix Content Analytics Dashboard
What does Netflix actually keep making more of?
End-to-end EDA on a 8,800-title Netflix catalog dataset. Cleaned inconsistent date, country, and duration fields, then explored genre mix and content growth over time to surface where the platform's catalog strategy was shifting.
8,800+
Titles analyzed
15+
Genres compared
10
Years of trend data
Vehicle Sales Trend Analysis — ABG Motors
Finding which vehicle categories actually drive revenue.
Analyzed a multi-category vehicle sales dataset to rank categories by revenue contribution and identify seasonal demand swings. Built cleaning pipelines in Pandas to handle missing prices and inconsistent category labels, then visualized findings for a business-facing summary.
~18%
Revenue lift in top category
5,000+
Records cleaned
6
Vehicle categories ranked
Building the fundamentals.
AI & ML Intern
Kodacy (Virtual Internship)
2024
- Built foundational fluency in AI and ML concepts through applied Python exercises.
- Translated theoretical ML workflows into working code, from data prep to basic model evaluation.
Data Science Trainee
Internshala Trainings
2024
- Completed a structured Data Science with AI program covering Python, statistics, and the EDA workflow.
- Delivered multiple mini-projects applying Pandas and visualization libraries to real datasets, forming the basis for later portfolio work.
The toolkit.
Languages & Querying
- Python
- SQL
- MySQL
Analysis & Visualization
- Pandas
- NumPy
- Matplotlib
- Excel
- Power BI
Tools & Workflow
- Jupyter Notebook
- Git
- GitHub
Certifications
- Python — HackerRank
- Data Science with AI — Internshala
Languages spoken
English (full proficiency) · Telugu (full proficiency) · Hindi (limited proficiency)
Open to Data Analyst &
Data Science internships.
If you're looking for someone who enjoys digging into datasets, asking the next question, and turning it into a clear chart — I'd love to hear from you.