Summary
Overview
Work History
Education
Skills
Extracurricular Activities
Websites
Certification
Projects
Timeline
Generic

Divya Patil

Dandenong,VIC

Summary

A detail-oriented and results-driven Data Analyst with a Master of Data Science degree from Monash University, specializing in data analysis, machine learning, and big data technologies. Proficient in Python, SQL, and data visualization tools such as Power BI and Tableau. Skilled in applying big data technologies including Apache Spark, Hadoop, and MongoDB to handle large datasets, design data pipelines, and deliver actionable insights. Experienced in leading data-driven projects that solve real business challenges, improve operational efficiency, and support data-driven decision-making.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Machine Learning Intern

Cognifront Pvt. Ltd
Nashik, Maharashtra
05.2020 - 06.2020
  • Developed a machine learning model to predict campus placement outcomes, achieving 91.45% accuracy.
  • Optimized feature engineering and model performance, reducing prediction time by 15%.
  • Collaborated with cross-functional teams to implement solutions that improved recruitment efficiency.
  • Constructed supervised and unsupervised learning models using Python libraries like Scikit-Learn, TensorFlow, and Keras.

Deep Learning Intern

Cognifront Pvt. Ltd.
Nashik, Maharashtra
07.2020 - 08.2020
  • Developed deep learning models, including RNNs and LSTMs, achieving 90% accuracy in rainfall prediction.
  • Improved data preprocessing workflows, enhancing model accuracy by 10% through effective cleaning and feature engineering.
  • Conducted exploratory data analysis to optimize input features, and fine-tuned hyperparameters to prevent overfitting.
  • Documented methodologies and collaborated with teams to align model outputs with business goals, using tools like TensorFlow and Python.

Sales Associate

Oli Collectives
Melbourne, VIC
11.2022 - 01.2025
  • Conducted sales trend analysis and identified product performance insights to assist with stock replenishment and promotional strategies.
  • Supervised fast-paced sales activities, continuously delivering outstanding customer satisfaction.
  • Supervised stock allocation and inventory control to optimize supply levels.
  • Collaborated with the team to implement visually appealing merchandising solutions that increased foot traffic and sales.

Education

Master of Data Science - Data Analytics, Machine Learning, Bioinformatics

Monash University
06.2024

Bachelor of Engineering - Computer Science

JSPM's Rajarshi Shahu College of Engineering
01.2021

Skills

  • Programming: Python, R, SQL
  • Data Tools: Apache Spark, Hadoop, MongoDB, Power BI
  • Data Science Expertise: Data cleaning, wrangling, exploratory data analysis, and visualization
  • Software Tools: Microsoft Excel, Tableau, POS Systems

Extracurricular Activities

  • Published two research papers on Alzheimer's disease in SPRINGER journals.
  • Member of Rotaract Club, organizing events such as tree plantation and road safety awareness programs.
  • Event management team member of TEDxJSPMRSCOE.
  • Contributed articles to the Institute Magazine on data engineering and emerging technologies.

Certification

  • Postgraduate Certification in Data Analytics, Edubridge, Hyderabad, Telangana, India, A Grade
  • National Level Bootcamp on Computer Networks & Information Security, IEEE Computer Society
  • Research Paper Presentation, Presented research papers titled 'Alzheimer's Disease Detection and Classification using CNN' at two international conferences, including ICCMDE 2021 (VIT, Tamil Nadu), and received certificates of participation.

Projects

Predicting Placement in Campus Recruitment  • Built a machine learning model to predict student placement outcomes, achieving  91.45% accuracy.  • Reduced error margin by 10% through iterative optimization and testing.

Classification of Alzheimer’s Disease Using CNN  • Developed a convolutional neural network (CNN) to classify Alzheimer’s disease,  achieving 97% accuracy.  • Published findings in SPRINGER journals and presented at international conferences.

Exploratory Analysis of Job Market Trends in Australia  • Performed data wrangling, cleaning, and visualization using Python, Tableau, and SQL  to provide insights into job vacancies and trends in the Australian market.  • Leveraged big data technologies like Apache Spark for efficient data processing and  analysis of large datasets.

Timeline

Sales Associate

Oli Collectives
11.2022 - 01.2025

Deep Learning Intern

Cognifront Pvt. Ltd.
07.2020 - 08.2020

Machine Learning Intern

Cognifront Pvt. Ltd
05.2020 - 06.2020

Master of Data Science - Data Analytics, Machine Learning, Bioinformatics

Monash University

Bachelor of Engineering - Computer Science

JSPM's Rajarshi Shahu College of Engineering
Divya Patil