Programming & Data Manipulation

• Python
• SQL
• Excel
• N​umpy, Pandas
  

Machine Learning & Statistics

• Scikit-Learn, Tensorflow, Keras
• Probability
• Hypothesis Testing
  

Data Visualisation

• Tableau
• Power BI
• Matplotlib, Seaborn, Plotly
  

Databases & Deployment

• MySQL
• AWS
• Flask
• Docker
  

De​ep Learning & NLP

• Neural Networks, CNN, RNN, LSTM
• NLTK, SpaCy, BeautifulSoup
  

Vlippr

internship (6 Months)

• Applied preprocessing techniques, including chunking and vocal removal, to ​prepare data for analysis.

• Utilized speaker diarization methods to distinguish and identify different ​speakers in audio recordings.
  

• Developed solutions for gender detection, enhancing the accuracy of gender-​related attribute analysis.

• Mastered transcription techniques to convert spoken language into precise ​written text.

• Demonstrated expertise in language identification for Indian languages, ​managing linguistic nuances effectively.
  

Orangus

internship (2 Months)

• Built a revenue prediction model with 90% accuracy, including preprocessing and ​deployment.

• Developed a fake news detection model with 95% precision, involving feature ​extraction and deployment

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• Showcased skills in supervised learning, Python, TensorFlow, and scikit-learn.

• Used Matplotlib and Seaborn for data visualization and presentations.

• Managed large datasets, met deadlines, and communicated findings effectively.