Data Scientist
Summary
Throughout my education and internships, I have gained a strong foundation in statistics, machine learning, and data science, including hands-on experience with various tools such as Jupyter Notebook, Pandas, Numpy, Matplotlib, Keras, Sci-kit learn, SQL and Tableau. In my current role at Innodatatics, I have honed my skills in data collection, cleansing, exploration, and visualization, as well as in statistical analysis, regression modeling, and predictive analytics.
My passion for data science is demonstrated in my project on predicting oil prices using an LSTM neural network. This project allowed me to apply my technical skills to real-world data, and the successful deployment of the model on Streamlit shows my ability to effectively communicate and showcase my work. Additionally, In my recent internship project, I developed a resume screening and classification solution using machine learning models like Support Vector Machine (SVC), K-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, Random Forest, Adaboost, Gradient Boosting, XGBoost, LGBM Boost, and Convolutional Neural Network (CNN). The project aimed to significantly reduce the manual human effort in HRM by achieving a higher level of accuracy and automation with minimal human intervention.
Expectations
Offers opportunity for growth and learning, has a positive company culture, and offers a sense of purpose and fulfillment.
Employment Preferences
Expected Base Salary
**0,000 INR
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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