Ex-Data Analyst Intern at Sapio Analytics

Prashant Gaikwad +917********* ******************@*****.*** Pune, Maharashtra

LinkedIn Profile: https://www.linkedin.com/in/prashant-gaikwad-7a62b419b/ Willing to Relocate: Anywhere EDUCATION

Sinhgad College of Engineering, Pune

July 2017 - June 2021

B.E., in Electronic and Telecommunication CGPA: 5.87/10 Jai Hind Junior college of Science, Chandrapur

May 2017

XII., in Electronics Percentage: 76.15 %

TECHNICAL SKILLS

Programming Languages: Python, C++, SQL (Familiar) Analytical Tools: Tableau, Power BI, Advanced Excel Framework: Flask (Familiar)

Others: Machine Learning, Deep Learning, Exploratory Data Analysis WORK EXPERIENCE

Sapio Analytics – Mumbai, India Aug 2020 – Nov 2020 Designation: Data Analyst Intern

• Worked on Text Analytics of news articles team in a backend.

• Role in a team was to build automated web scrapers for Hindi news.

• Built web scrapers using Python, which will scrape all the news from the UP division with the help of a city name and date duration. Also, helped teammates with a further automation process. Maxgen Technologies Private Limited – Pune, India

Designation: Machine Learning Intern July 2020 – Aug 2020

• As a Machine Learning Intern, the task was to create efficient machine learning models for predictive modeling projects.

• Developed numerous Machine Learning models with an accuracy of more than 90 % through this training cum internship.

• Evaluated the results and communicated them with visualizations. PROJECTS

Cotton Plant Disease Detection and Get Cure AI APP (BE PROJECT) - https://cottonplantgetcure-api.herokuapp.com

• Project taking in mind the benefits of the farmers and agricultural sector.

• Developed application can detect disease in cotton plants using a convolutional neural network (CNN).

• Trained CNN sequential model using Python with 96.30 % validation accuracy on 100 epochs.

• Deployed a flask application on the Heroku cloud platform. Automated Web Scraper using Python - https://github.com/prashantgaikwad132/Web-scraper

• Built a web scraper using Python, which scrapes all the city news of four news media only using two inputs

(city, date) and saves it into a Comma-Separated Values file. In a minute, it can scrape a minimum of 100 news.

• Libraries used: Numpy, Pandas, BeautifulSoup

Telecom Customer Churn Prediction using Machine Learning - https://github.com/prashantgaikwad132/Telecom- customer-churn-prediction

• Project is about predicting whether a customer will change telecommunications provider or not.

• Problem statement is targeted at enabling churn (loss of customers to competition) reduction using analytics concepts and predicting new churn on the test dataset.

• Trained a random forest model with 94.87 % accuracy and 0.90 ROC AUC Score.

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