Summary
Overview
Education
Skills
Certification
Accomplishments
Projects
Timeline
Generic

Deepa Jha

PUNE

Summary

Proficient in statistical analysis, data collection, and interpretation using tools such as Python/R and Excel. Skilled in deriving actionable insights from data and presenting them in a meaningful way. Committed to continuous professional growth, fostering teamwork, and bringing a fresh perspective to problem-solving for the success of the team. Passionate about overcoming challenges and promoting creativity in collaborative environments. Well-prepared to excel in demanding digital intelligence processing settings as a driven Data Science Intern. Stay updated on the latest advancements in machine learning and eager to leverage cutting-edge data science technology while constantly expanding skill set.

Overview

1
1
Certification

Education

MBA -

Symbiosis Institute of Computer Studies And Resch.
Pune
05.2025

B.Tech in Computer Science - Computer Science

Lalit Narayana Mithila University
DARBHANGA
06.2018

Skills

1 Programming Languages:

  • Python: Essential for data analysis, machine learning, and visualization
  • SQL: For querying and managing databases

2 Data Analysis & Visualization:

  • Pandas & NumPy: For data manipulation and analysis in Python
  • Matplotlib & Seaborn: For data visualization in Python
  • Power BI/Tableau: Data visualization tools for creating dashboards
  • Excel: Advanced Excel skills, including pivot tables, VLOOKUP, etc

3 Machine Learning:

  • Scikit-learn: For implementing machine learning algorithms

4 Statistical Analysis:

  • Hypothesis Testing: Essential for making inferences from data
  • Regression Analysis: For predicting outcomes based on data

Certification

  • Google Data Analytics Coursera, November 2023
  • Python for Data Analytics Coursera, December 2023

Accomplishments

  • Created and evaluated around 10-12 automations for different daily health checkups.
  • Developing and maintaining an organization Systems data.
  • Used Microsoft Excel to develop inventory tracking spreadsheets.

Projects

1.Customer Segmentation
  • Skills: Clustering (K-means, Hierarchical), Python, Pandas, Scikit-learn, Matplotlib.
  • Description: Analyze customer data (demographics, purchasing behavior) to identify distinct customer segments for targeted marketing. Apply clustering techniques and visualize the segments.
  • Dataset: Mall Customer Segmentation Dataset


2.Image Classification with Convolutional Neural Networks (CNNs)
  • Skills: TensorFlow/Keras, Python, Deep Learning, Convolutional Neural Networks (CNN).
  • Description: Train a CNN model to classify images into different categories (e.g., cats vs. dogs). This project will involve working with image data, preprocessing, and building a deep learning model.
  • Dataset: CIFAR-10 or Kaggle Image Datasets



Timeline

MBA -

Symbiosis Institute of Computer Studies And Resch.

B.Tech in Computer Science - Computer Science

Lalit Narayana Mithila University
Deepa Jha