Enthusiastic and dedicated individual with a M.Tech degree in Computer Science and Engineering

having strong foundation in statistical analysis, machine learning, artificial intelligence and data visualization. Eager to leverage academic training and hands-on experience to contribute to innovative projects in the field of data science and data analytics. Possess a proactive approach to problem-solving, excellent communication skills, and a passion for leveraging data-driven insights to drive business decisions.

UNIVERSITY

B.TECH

Bengal Institute of

Technology, Kolkata

CGPA: 7.98

M.TECH

Heritage Institute of

Technology, Kolkata

YEAR : 2022 - 2024

ABOUT ME

+91-916******* · ad316d@r.postjobfree.com

39/2, New Ballygunge Road, Kolkata - 700039

SHREYASI MAHATO

SKILLS

EDUCATION

Machine and Deep Learning

NLP

Data Visualization

Data Manipulation

Excel / Google Sheets

Google Analytics

Microsoft Power BI

Tableau

MySQL

Python(Numpy, Pandas, Scikit-

Learn, Keras, Flask)

Statistical Analysis

Pattern Recognition

AWS

C

C++

Java

JavaScript

CERTIFICATIONS

TATA - DATA VISUALISATION : EMPOWERING BUSINESS WITH EFFECTIVE INSIGHTS VIRTUAL EXPERIENCE PROGRAM ON FORAGE - JULY 2023

ACCENTURE - DATA ANALYTICS & VISUALIZATION : VIRTUAL EXPERIENCE ON FORAGE - AUGUST 2023

INTERNSHIP

MEDTOUREASY - DATA ANALYTICS INTERNSHIP-Analyze Death Age Difference of Right Handers with Left Handers

PROJECTS

1) TravelTrends

Helped people to understand and improve their Travel Trends by using Tableau to create visually engaging visual boards.

Developed Machine Learning models to predict future travel spending and increased forecast accuracy by 31%.

Used Python to automate routine data preprocessing tasks that can save an estimated 20 hours of manual work per week.

2) Movie Recommendation Engine

Prepped IDMB and Rotten Tomatoes data and used k-nearest-neighbors in scikit-learn to build an improved movie recommendation system.

Saved an average of 17 minutes on movie selection relative to previous methods. Built visualizations in Microsoft Power BI to show how ratings have changed and how the mode performed over time.

3) Credit Card Fraud Detection using Machine Learning Created 2 apps that classified credit card transactions into fraudulent and genuine, fit the models, and plotted performance curves.

Used Python with algorithms such as Decision Trees, Logistic Regression, Artificial Neural Networks, Naive Bayes, Random Forest and K-Means.

Did these whole thing using 6 databases.

4) Marks Prediction

Predicted the marks of student from 1st to 12th standard. Did Data Preprocessing and trained Machine Learning Models. Achieved 0.001 Root Mean Square Error. Model used in pandemic of 2021 to calculate the score of student without taking the exam.

Models used : Linear Regression, SVM, Decision Tree. 5) Useless Comment Blocker

Blocking the useless comments on YouTube comment box. Building end-to-end Natural Language Model to classify whether the given input comment should be blocked or not.

6) Current Ongoing Software Project

A) Currently working on a website regarding Online Tutor Private System. B) Previously worked on developing a news based website. C) And also worked on a product based website.

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