I'm a skilled Data Scientist with 5+ years of experience in ML model development, Deep Learning, and NLP. Currently pursuing a Master of Science in Data Analytics at Saint Louis University, I bring a wealth of experience from roles at Robert Half, L&T Technological Services, Accenture Solutions, and TCS.
- Programming Languages: Python, R, SQL, NoSQL, HTML, CSS, C++, JAVA
- Frameworks & Tools: Flask, MS SQL, MySQL, PostgreSQL, MongoDB, Git, GitHub, Docker, AWS, Azure, Power BI, Tableau, Kubernetes
- Data Processing & Streaming: PySpark, Apache Kafka, Pandas, NumPy, Apache Airflow, Snowflake, ETL
- Machine Learning: Random Forest, Linear Regression, PyTorch, SVM, Decision Tree, ARIMA, Xgboost, TensorFlow, Scikit-learn, Deep Learning Algorithms, LSTM, NLP (NLTK, SpaCy)
- Research Symposium Winner at Saint Louis University
- Founder of PigeonGo Atok Private Limited
- Azure Fundamentals Certification
- M.S. in Data Analytics, Saint Louis University (2022-2024)
- B.Tech in Electronics and Communication Engineering, Narasaraopeta Engineering College (2013-2017)
- Statistical Data Analytics Assistant/ Professor at Saint Louis Unoversity (02/2023 - Present)
- Data Scientist/Analyst at Intel (01/2022 – 07/2022)
- Data Scientist/Analyst at Microsoft (02/2019 – 05/2021)
- Data Scientist/Analyst at TCS (05/2017 – 12/2018)
- Advanced Machine Learning, Deep Learning and GenAI applications
- Big Data Analytics and Cloud Computing
- Natural Language Processing and Computer Vision
- Large Language Models (LLMs) and their applications
- Advanced Cloud Architecture and MLOps
- Cutting-edge Deep Learning techniques
- Open-source Data Science projects
- Research in AI and Machine Learning
- Innovative applications of NLP and Computer Vision
- Email: ganeshkota.4all@gmail.com
- Phone: (314)-229-2191
- LinkedIn: Ganesh Kota
- Portfolio: My Portfolio
- Tableau: Tableau
He/Him
I taught my smart home assistant to respond to "Hey, Computer" in my best Star Trek impression. Now I feel like Captain Picard every time I adjust the thermostat!
Feel free to explore my repositories and don't hesitate to reach out for collaborations or discussions on data science and machine learning!