Machine Learning Data Analytics

B.TECH, Bengal Institute of Technology, Kolkata

+91-916******* · ***********@*****.***

**/*, *** ********** ****, Kolkata - 700039

M.TECH, Heritage Institute of Technology, Kolkata

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.

SKILLS

ABOUT ME

PORTFOLIO https://amouf.my.canva.site/shreyasi-mahato INTERNSHIP

CERTIFICATIONS

SHREYASI MAHATO

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

Programming Languages : Python( Numpy, Pandas, Scikit-Learn), C, C++, Java, JavaScript Data Analysis and Visualization : SQL, Tableau, Matplotlib, Seaborn, Microsoft Power BI Proficient in Microsoft Excel and Google Analytics Statistical Analysis : Hypothesis Testing, Regression Analysis, Time-Series Forecasting Machine Learning : Supervised and Unsupervised Learning Algorithms, Model Evaluation and Validation

Data Wrangling : Cleaning, Transforming and Pre-Processing Raw Data Big-Data Technologies : Hadoop, Spark

Natural Language Processing(NLP) : NLTK

Deep Learning : Tensorflow, Pytorch

Proficient in AWS

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

EDUCATION

PROJECTS

1) TravelTrends

4) Marks Prediction

5) Useless Comment Blocker

2) Movie Recommendation Engine

6) Current Ongoing Software Project

3) Credit Card Fraud Detection using Machine Learning 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.

Prepped IDMBand 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.

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.

Predicted themarks 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. Created 2appsthat classified credit cardtransactions 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.

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

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