Analyst Intern Data

Snehal Patil

Bloomington Indiana

812-***-**** # *********@*****.*** ï linkedin.com/in/snehal-patil-b8816a190 § github.com/snehalpatil4 Education

Indiana University Bloomington August 2022 - present Master of Science in Data Science

Pimpri-Chinchwad College of Engineering Akurdi August 2017 - July 2021 Bachelor of Engineering in Computer Science

Technical Skills

Languages: Python, R, Java, c++, JavaScript

Databases: MySQL, MongoDB, PostgreSQL, Oracle, Firebase Libraries : Data Visualisation — Matplotlib,Seaborn. Data Manipulation —Pandas, Numpy. Machine Learning — SciKit Learn, Scipy, keras, TensorFlow, PyTorch.

Visualization Tools: Tableau — JMP — Power BI — Gephi — R shiny Courses

Statistics, Advance database Concepts, Data Mining, Machine Learning, Data Analytics, Data warehousing Experience

Aria Technologies Pvt.Ltd September 2019- November2019 Data Analyst Intern Pune, Maharashtra

• Successfully extracted data from SAP, ECC, and Oracle applications using the Quick Audit tool, leading to the retrieval of over 10000 records.

• Identified potential fraud cases through data analysis and scripting complex queries and procedures.

• Analyzed data to uncover insights and fraud risks, and created detailed conflict reports with root cause level analysis

• Made visually appealing and interactive reports with R Shiny and presented PowerPoint briefings and executive summaries to 10+ business executives.

Projects

Song Recommendation Engine python, Streamlit, Data Mining August 2022- December 2022

• Built a song recommendation engine that recommends top 10 songs using streamlit, spotipy libraries

• Brought down data size from 31.2 GB to 206 MB using feather and recommended songs using collaborative filtering and clustering algorithms.

• Dataset comprised of 1 million spotify tracks.

Communication and E-learning platform for mute and Deaf Python, Android, Kotlin January 2020- July 2021

• Developed a successful android app with speech-to-text and live gesture translation features using Kotlin and Python, exceeding user expectations(image-processing app of 45MB).

• For gesture translation in mobile devices, we used the TensorFlow Lite model,decreased the app size from 138MB to 45MB The model was trained on 29000 images having 30 classes.

• For the above model, we obtained an accuracy of 98.28

• Application included a learning platform and alert mechanism; the alert mechanism was hosted from Firebase trigger mechanism, which reduced our app size by 20 percent Phishing Website detection Python, HTML, Heroku January 2021-June 2021

• It is an end-to-end project where we developed a phishing website detection engine using python on a data set of 11000+ legitimate and phishing websites data points.

• The front-end part was using HTML and CSS, where the model was deployed using Heroku; with the dataset and genetic algorithm and obtained an accuracy of 95 and got down the bias by 30 percent Immediate Medical Emergency System Python, Django, R, Android studio August 2019-December 2019

• Designed application for directing ambulances to hospitals having all requirements available in less than 5 minutes.

• Front-end for hospitals was coded using the Django framework, the back-end was coded using R, and the user application was constructed in android studio.

Leadership / Extracurricular

Art Circle, PCCOE June 2018-May 2019

Co-Treasurer PCCOE

• Managed event registration funds and assisted in creating detailed budgets, resulting in successful completion of 15+ events within budget. Acted efficiently and effectively, contributing to the overall success of the events and the organization’s financial stability

Contact this candidate