Name: Ayan Maity

Current Role: Data Science Student

Email Id: rkmveri.ayanmaity@gmail.com

Address: Kolkata, India

Skills

PYTHON 90%
Machine Learning 80%
Time Series Analysis 70%
Deep Learning 60%
SQL 50%
R 40%

About

About Me

I have completed my B.Sc. in Mathematics from Ramakrishna Mission Residential College, Narendrapur, and am pursuing my M.Sc. in Big Data Analytics from Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math. My studies have provided a strong foundation in mathematical principles and statistical modeling, which I have applied in various machine learning, deep learning, and time series forecasting projects. I possess strong skills in data analysis and manipulation, using Python and R, and have experience in applying machine learning algorithms to real-world problems. I am committed to continuous learning and seek to leverage my skills in data analytics to contribute to innovative solutions.

  • Profile: Data Science & Analytics
  • Domain: Computer Science
  • Education: Masters in Big Data Analytics
  • Language: English, Bengali & Hindi
  • Skills: Python, R, SQL, Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn, Tensorflow, Pytorch, Excel, Powerpoint, LaTex
  • Interest: Traveling, Nature Photography, Cricket & Football

0 +   Projects completed

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Resume

Resume

My aspiration is to become a leading expert in Data Science, Machine Learning, Deep Learning, Natural Language Processing and Time Series Forecasting.

Experience


2021-Present

Subject Matter Expert | Part-Time

Chegg Inc.
June 2024

Medical Data Analysis | Workshop

ISI Kolkata
July 2024

Python Programming and Data Science | Workshop

Technophilia Solutions with B-Club IIT Kharagpur
May 2024 - June 2024

Machine Learning | Internship

Prodigy InfoTech


Education


Ramakrishna Mission
2023-present

M.Sc. in Big Data Analytics

Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math

Result : Unannounced

Ramakrishna Mission
2020-2023

B.Sc. in Mathematics

Ramakrishna Mission Residential College (Autonomous), Narendrapur

CGPA : 9.37

bhs
2018-2020

Higher Secondary Education in Pure Science (Under WBCHSE)

Baramohanpur High School

Percentage : 96.80

bhpi
2012-2018

Secondary Education (Under WBBSE)

Basudebpur Haripriya Institution

Percentage : 82.86

Projects

Projects

Below are the sample Data Analytics projects on Machine Learning, Deep Learning, NLP & Statistics.

Detecting Code Clones and Summarizing Code with Large Language Models

Detected Monolingual Code Clone using Graph Matching Network. Trying to perform fine-tuning over CodeBERT and then detect Multilingual Code Clone using that.

Voice translation across languages with synthetic speech generation

Developing a multilingual speech-to-text pipeline, starting with Hindi speech-to-text conversion and extending it to translate into English and generate English speech. Goal is to scale the system for other languages to English translation.

Similarity Searching and QSAR Model interpretation in Drug Discovery

Identified chemical compounds with similar structures using Tanimoto coefficient and Graph Edit Distance algorithms. Predicted biological activities of chemicals based on their structure. Estimated toxicity levels of chemicals using Regression models.

Assessing Data Balance Strategies for Employee Attrition with Machine Learning techniques

Firstly, conducted an Exploratory Data Analysis to visualize key insights. Handled class imbalance using various methods : SMOTE, TomekLinks, SMOTETomek, ADASYN etc. Applied and evaluated multiple machine learning classification models (e.g. Random Forest, SVM etc.) to predict whether an employee will leave his / her job or not.

Text to Speech with Transformer architecture

Cleaned and normalized the dataset for high-quality input. Designed a Transformer-based architecture for the Text-to-speech synthesis task and fine-tuned hyperparameters for better performance. Also used post-processing techniques like mel-spectrogram inversion and waveform synthesis to improve audio quality.

Forecasting Superstore Sales : Time Series Analysis & Prediction

Conducted EDA, time-series indexing, and handled missing values. Identified seasonal patterns and trends with decomposition techniques. Applied ACF and PACF plots, Rolling Statistics, ADF test for checking stationarity. Implemented SARIMA and AutoARIMA models for forecasting, tuned model hyperparameters, and validated forecasts by comparing predicted sales to real sales. Evaluated model performance using RMSE and observed the pattern of future forecasts.


Twitter Sentiment Analysis

This is an entity-level sentiment analysis dataset of twitter. Given a message and an entity, the task is to judge the sentiment of the message about the entity. This project involves building a sentiment analysis model using a dataset of Twitter posts. The goal is to classify the sentiment of each tweet as positive, negative, neutral or irrelevant.

Campus Placement Data Analysis for Engineering Colleges

This project explores the impact of various factors on the placement status of engineering college students. The factors analyzed include internships, projects, workshops, aptitude scores, SSC and HSC marks, extracurricular activities, placement training, and soft skills ratings.

0 Achievements
0 Projects
0 Workshop
0 Internship

More projects on Github

I love to solve Machine Learning & Deep Learning problems.


GitHub

Certificate

Certificate

Contact

Contact Me

Below are the details to reach out to me!

Address

Kolkata, India

Contact Number

+91 7864827874

Download Resume

resumelink



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