Summary
Overview
Work history
Education
Skills
Certification
Soft Skills
Extra-Curricular Activities
Timeline
Generic

DIVYA PATIL

Edinburgh

Summary

Motivated and results-driven Analyst with a proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Driving business effectiveness through recommendations based on data findings.

Overview

6
6
years of post-secondary education
1
1
Certification

Work history

Customer Churn Prediction Analysis

  • Conducted Customer Churn Prediction Analysis using Python to forecast potential customer attrition for a telecom Company
  • Performed data preprocessing and manipulation techniques to enhance the accuracy
  • Applied logistic regression and random forest algorithms, achieving an accuracy rate of 85%
  • Identified key factors influencing churn, enabling the company to develop strategies to retain at-risk customers.

Interactive Dashboard of Company Insights (TCS Online Job Simulation)

  • Developed an interactive Tableau Dashboard utilizing Tableau software for TCS Job Simulation, facilitating the identification and display of comprehensive sales insights
  • Focused on visualizing company sales data to enhance decision-making processes in recruitment scenarios, resulting in a 20% increase in recruitment efficiency
  • Utilized intuitive data visualization techniques to present valuable insights into various aspects of sales performance, driving a 30% improvement in understanding company sales details
  • Empowered stakeholders with actionable insights, enabling them to make informed decisions based on real-time sales data.

COVID-19 Data Visualization Project

  • Programmed an interactive COVID-19 Data Visualization Project using D3.js, employing various techniques including maps and effects
  • Utilized a dataset encompassing COVID-19 effects and other pandemic-related statistics across multiple countries
  • Developed interactive visualizations to effectively display COVID-19 data trends, enhancing public awareness and understanding by 30%.

World Population Visualization Project

  • Developed an interactive World Population Visualization Project using D3.js, incorporating comprehensive demographic data including birth rates, death rates, and other population statistics of countries worldwide
  • Utilized D3.js to create engaging data visualizations illustrating global population trends and demographic insights.

Real-time Bus Tracking and Mapping

  • Engineered a real-time bus tracking system utilizing PostGIS for geospatial data storage and MongoDB for tracking buses based on routes, arrival times, and frequency
  • Enhanced public transportation services, achieving a 15% reduction in waiting times by providing precise and timely bus tracking information
  • Analyzed and mapped real-time bus locations, optimizing route efficiency and improving passenger experience by 20%.

Credit Card Fraud Detection System

  • Designed and implemented a machine learning-based fraud detection system using Python on a comprehensive credit card transactions dataset
  • Conducted feature engineering and data preprocessing to improve model performance, resulting in more reliable and timely fraud detection
  • Developed and deployed classification algorithms, including logistic regression and decision trees, achieving a high detection accuracy rate.

Tomato Leaf Disease Detection

  • Utilized Convolutional Neural Networks (CNN) to develop a model for detecting tomato leaf diseases using an extensive image dataset of tomato leaves
  • Analyzed and preprocessed thousands of images to train the model, enhancing detection accuracy by 90%
  • Implemented advanced image recognition techniques to identify and classify various tomato leaf diseases, contributing significantly to agricultural disease management efforts.

Computer Network Security Project

  • Implemented robust security measures and protocols to enhance the resilience of computer networks against cyber threats
  • Developed and integrated encryption techniques, improving data integrity and confidentiality by 50%
  • Conducted thorough security audits and vulnerability assessments, reducing potential security breaches by 40%
  • Automated monitoring and response systems, increasing detection and mitigation speed by 30%.

Education

Masters In Computer Applications -

D.Y Patil ACS College
India
06.2020 - 05.2022

Masters in Data Science -

Heriot Watt University
01.2023 - 05.2024

Bachelors Of Computer Applications - undefined

D.Y Patil ACS College
06.2017 - 05.2020

Skills

    Programming: Python (Pandas, NumPy, Scikit-learn), R, SQL, Java, C/C

    Data Visualization: Tableau, Power BI, D3js

    Data Analysis: Data modeling, data governance, statistical analysis, predictive modeling

    Machine Learning: Supervised and unsupervised learning, NLP, time series analysis

    Databases: PostGIS, SQL, NoSQL

    Cloud Technologies: AWS, Azure

    Tools & Platforms: Git, Jupyter Notebooks, Agile methodologies

Certification

  • BCG X Online Job Simulation | Python, Conducted comprehensive analysis on an airline dataset using Python, identifying key performance metrics and operational inefficiencies.
  • Advanced NLP Certification from LinkedIn Learning
  • TCS Online Job Simulation | Tableau, Created an interactive Tableau dashboard to analyze and visualize comprehensive sales data, making it easy to recognize key sales metrics.
  • Full Stack Java Developer from Radical Technologies

Soft Skills

· Analytical Thinking   · Problem-Solving  · Adaptability· Critical Thinking · Creativity · Leadership

Extra-Curricular Activities

Extra-Curricular Activities

Code Camps:

Participated in 4+ code camps, engaging in intensive coding sessions and collaborative projects.

Worked in teams of 4-6 members, improving teamwork and collaboration skills, and achieving a 90% project completion rate.

College Cultural Fest Team Member:

Actively contributed as a member of the organizing team for the annual College Cultural Fest, attended by over 2,000 participants.

Sports:

Qualified and played in inter-college volleyball competitions, advancing to the semi-finals and demonstrating strong teamwork and leadership skills.

Timeline

Masters in Data Science -

Heriot Watt University
01.2023 - 05.2024

Masters In Computer Applications -

D.Y Patil ACS College
06.2020 - 05.2022

Bachelors Of Computer Applications - undefined

D.Y Patil ACS College
06.2017 - 05.2020

Customer Churn Prediction Analysis

Interactive Dashboard of Company Insights (TCS Online Job Simulation)

COVID-19 Data Visualization Project

World Population Visualization Project

Real-time Bus Tracking and Mapping

Credit Card Fraud Detection System

Tomato Leaf Disease Detection

Computer Network Security Project

DIVYA PATIL