Beta

Vinita Silaparasetty

Data Scientist

Freelance | Bangalore

Technologies

Generative AI Expert | Author | Speaker | Google Developer Expert in Machine Learning | Google Women Techmakers Ambassador | Python | Tensorflow | Keras

My Work Experience

Where I've interned and worked during my career.

Just IT | Sep 2022 - Aug 2023

Data Science Lead Trainer

Python, R, SQL, Azure, Google Cloud, AWS, Tableau, and Power BI. 2)Taught apprenticeships and boot camps for companies such as #Google, Bank of England, #NHS and Transport for London. Consistently received an average rating of 9/10 from the students. 3) Created course materials on Machine learning with Python and R, data analysis with SQL, cloud computing with Azure, Google Cloud, AWS, and data visualization with Tableau, and Power BI. 4) Created project tutorials for the students showing them how to use Excel +Tableau, Excel + PowerBI, R+Tableau and R+PowerBI

WBS CODING SCHOOL | May 2022 - Sep 2022

Data Science Lead Instructor

1) Taught one batch from start to finish. Topics included: MySQL, Python (Numpy,Scipy,Pandas,Matplotlib,Seaborn and Scikit-learn), Machine learning (Regression, classification and clustering), Tableau, A/B testing, Hypothesis testing, Webscraping (beautifulsoup), API's (RapidAPI), AWS 2) Created course material on Deep learning and Neural Networks using Tensorflow and Keras. 3) Improved the content on web scraping with Python’s Beautiful Soup library. 4) Created a tutorial on outlier detection using boxplots and their subsequent removal using the 1.5 rule. 5) Created course material explaining the Euclidean and Manhattan distance metrics for K-nearest neighbors (classification) and K-means (clustering)

Rockborne | Feb 2022 - Apr 2022

Data Science Training Assistant

attentively gauging the gaps in their knowledge. Then I crafted custom mini lessons which included things such as a data cleaning check list and practice exercises to ensure that they had a strong foundation. 2) Created interactive Jupyter notebooks which provided visual demonstrations for concepts such as gradient descent. 3) Designed the curriculum and course material for Python and Machine Learning. This course covered: 1) Python 2) Numpy 3) Scipy 4) Scikit learn 5) Pandas 6) Matplotlib 7) Seaborn 8) Algorithms 9) Classification 10) Regression 11) Clustering 12) Computer vision 13) Natural Language Processing 14) Loss functions 15) Optimizers 16) Evaluation metrics 17) Overfitting and how to avoid it. 18) Underfitting and how to avoid it. 19) Handling imbalanced datasets 20) Handling outliers 21) Handling missing values 22) Deep Learning 23) Web scraping

Coursera | Jul 2020 - Present

Data Science Instructor & Author

I am the author and instructor of guided projects on data science concepts using Python, Tensorflow, Keras and Julia. These projects cover concepts such as computer vision, natural language processing, linear regression and classification. https://www.coursera.org/instructor/vinita-silaparasetty

My Education

Take a look at my formal education

Master of Science - MS, Data ScienceNewcastle University | 2021

About Me

Vinita Silaparasetty is the Chief Data Scientist of Trendwise Analytics, an author, and speaker. She holds an MSc. in Data Science from Newcastle University in the U.K. She specializes in Python, R and Julia for Generative AI, Machine Learning and De

Create Your Data Portfolio for Free