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Kousik Kogatam

Aspiring Data Analyst | Data Scientist

Computer Science Engineering Student with knowledge in Data Analysis,
Power BI, Machine Learning, and Data Science, and interested in Software
with technical skills in Python and Java.

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kogatamkousik55@gmail.com

+91 9640312004

About Me

Education

Bachelor of Technology (2022-2026)

VIT AP University CGPA: 8.46

Intermediate (2020-2022)

Sri Chaitanya Junior College CGPA: 9.61

Secondary Education (2020)

Sai Baba High School CGPA: 10.0

Certificates & Badges

Python for Data Science Certificate
Certificate 1
Power BI for Beginners
Certificate 2
Data Analytics Summer Internship Certificate
Certificate 3
Oracle Cloud Infrastructure - Generative AI Professional Certificate
Certificate 4
Introduction to NumPy
Certificate 5
Python Pandas Basic Course
Certificate 6
Mastering Data with Machine Learning
Certificate 7
Google Analytics for Beginners
Certificate 8
AWS Academy Cloud Foundations
Certificate 9
AWS Academy Cloud Architecting
Certificate 10

Skills

Programming Languages

Java, Python, SQL, R

Languages

English, Telugu, Hindi, Basic French

Tools

GitHub, Jupyter Notebook, Power BI, MySQL

Libraries

NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib

Projects

Smart Resume Information Extraction - ResumeXtract

I developed a system that automatically extracts key information from resumes using a combination of regular expressions (Regex) and Named Entity Recognition (NER).
Tech Used: Python, Regex, spaCy, NLTK, JSON, CSV
Challenges & Learnings: Handling various resume formats, unstructured data, and different languages. Learned robust preprocessing and combining simple and advanced parsing.

Energy Consumption Forecasting for Sustainability

I built a smart forecasting system using Python tools like Pandas and Scikit-learn to help companies understand and predict their energy usage patterns.
Tech Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SQLite
Challenges & Learnings: Dealing with missing data, irregular time series, and the importance of feature engineering and domain knowledge.

Sign Language Detection using Machine Learning

This project translates sign language gestures into text in real-time using image processing and machine learning.
Tech Used: Python, OpenCV, TensorFlow/Keras, PyTorch, NumPy, Matplotlib, Scikit-learn, Flask
Challenges & Learnings: Real-time accuracy, varying lighting/hand positions, and the importance of data augmentation and user feedback.

Resume

Resume
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