Anchal Sekhri | Data Scientist

Anchal Sekhri

Data Scientist

Based in Una, India

About

As a recent graduate with a Bachelor's degree in Computer Science, I have developed a strong foundation in programming languages such as Java, Python, and SQL. I also hold certificates in Data Science, which has equipped me with knowledge in data analysis, visualization, and project management. During my academic career, I have worked on various projects that involve Natural Language Processing (NLP) and machine learning.

Skills

Projects

Quora Question Pair Similarity Detection

The project involves using natural language processing (NLP) techniques to analyse and compare the semantic similarity between pairs of questions. It may include methods like sentence embedding, word embeddings, or neural network architectures.

Customer Segmentation using RFM ANALYSIS

Customer segmentation using RFM analysis is to group customers into segments based on their purchasing patterns,tailor their markets. RFM stands for Recency, Frequency, and Monetary Value, which are three key metrics used to categorize and understand customer behavior and value.

Air Quality Analysis-India

Air quality index of India is a standard measure used to indicate the pollutant (so2, no2, rspm, spm. etc.) levels over a period. We developed a model to predict the air quality index based on historical data of previous years and predicting over a particular upcoming year.

Experience

01/2023 - 05/2023

Data Science Intern at HamoyeAI

Developed and implemented machine learning models, including regression, classification, and clustering algorithms, using Python and scikit-learn. Optimized models through feature engineering and hyperparameter tuning to maximize predictive accuracy and efficiency. Conducted data cleaning, pre-processing, and exploratory data analysis to identify patterns and insights. Worked as Assistant Project Lead for a major project and assisted in making of research paper for that project.

Education

2019-2023

B.E Computer Science (Specialisation in Data Science)

Programming Languages: Python, Java, HTML, CSS Modeling: Regression, Classification, Machine learning, Neural Networks