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Richa Shree

@richashree

Computer Science HOD at Pragyan School Greater Noida

Greater Noida, India

https://www.linkedin.com/in/richa-shree-56977338

Pragyan SchoolIIM Lucknow

Richa Shree is a data science enthusiast with expertise gained from the IIM Lucknow Executive Program. She is proficient in data analysis and statistical model development, having worked with techniques like linear regression, SVM, KNN, and XGBoost. She is skilled in Python libraries including NumPy, Pandas, and Scikit-learn, and has experience applying these skills in various projects.

Experience

Computer Science HOD

Pragyan School

Full-time•Sep 2021 - Present•Greater Noida, India

Conducting academic sessions of Informatics Practices for class 9 to 12, covering Python (NumPy, Pandas, Matplotlib, Sklearn, Seaborn), SQL (MySQL), and IT (Employability Skills and LibreOffice). Responsibilities include helping students develop real-world projects, leading the editorial team for the school magazine, and creating e-content for social media handles.

Computer Science Teacher

SAINT LAWRENCE SCHOOL (ICSE)

Full-time•Mar 2015 - Aug 2021•Angul (Odisha), India

Conducting academic sessions of Computer Science for class 6 to 8, covering Java, MS Office, and HTML.

SharePoint Developer

ISHIR TECHNOLOGIES

Full-time•Jan 2012 - Jan 2013•Noida (U.P), India

Developed websites and intra-portals. Participated in client meetings and testing, troubleshooting client-side queries, and ensuring timely product delivery.

SharePoint Developer

VELOCIS TECHNOLOGIES

Full-time•Jan 2011 - Jan 2012•Noida (U.P), India

Responsible for intra-portal development and maintenance for Vedanta. Involved in client-side meetings and ensuring timely product delivery.

Education

IIM Lucknow

Executive Program in Data Science

Data Science

Jan 2022 - Jan 2023

Uttar Pradesh

Bachelor of Technology

Computer Science

Jan 2007 - Jan 2011

Licenses & Certifications

Executive Program in Data Science

IIM Lucknow

Issued: Invalid Date

Skills

Python
SQL
R
NumPy
Pandas
Scikit learn
Seaborn
Matplotlib
nltk
Covariance Matrix Optimization
Classification
Random Forest
KNN
SVM
Regression
Linear Regression
Logistic Regression
Principal Component Analysis
Feature Selection
Hypothesis Testing
MySQL
Java
HTML
SharePoint