Summary :
- Ability to manipulate precise and intricate ideas with strong Mathematical and Statistical knowledge.
- Comprehensive understanding of Machine Learning, Deep Learning, NLP.
- Proficient in working with projects based on classification, regression, sentimental analysis, time series data...
- Capable to build automated web apps and deploy real time projects using Flask framework.
- Skilled in automating data collection using web scraping with libraries like BeautifulSoup and Autoscraper.
- Data analysis | Data wrangling | Data modeling | Statistics | Data visualization | Programming | Quantitative
analysis | Machine learning | Machine learning models | Data mining | Debugging | Hypothesis testing | A/B
Links :
Work Summary :
- 1 year of experience in Python for building and optimizing models
- Proficient knowledge of Machine Learning Algorithms.
- Extensive knowledge of Data Analysis, Data Wrangling, Feature Engineering and data life cycle.
- Exposure in Python programming and Object Oriented Programming Concepts.
- Experience in developing Models Python.
- Experience in working with scikit-learn and Tensorflow.
- Good Knowlegde of Statistical Inferential Techniques.
- Excellent communication skills with ability to work independently as well as in a team.
Projects Overview :
Automated Stock Price Prediction.
Organization: Coursera
The Following model predicts the stock price of any required stock for any given interval of time. It uses 1 year of historical data and predicts based on it. This model was deployed using Flask framework.
Domination Of Chinese Smartphone Brands in India
Using various statistical tests to conclude how Chinese brands dominate the Indian market Analyzing
whether smartphone brand selection is dependent on gen
Tweet Emotion Recognition using TensorFlow.
Organization: Coursera
The Following was a guided project which helped me learn various new techniques and improve my
knowledge of tensor flow and google colab.
House Price Prediction.
In this project with the help of the provided data of the house prices and their locations, and various
amenities present sale price of an house was estimated