Ashmita Paul

Ashmita Paul

Aspiring Data Analyst

Profile

An enthusiastic aspiring data professional eager to contribute to team's success through hard work, attention to detail and excellent organizational skills. I come with a clear understanding of machine learning, statistics and mathematics and training in artificial intelligence. Motivated to learn, grow and excel in the Data Science industry.

Work Experience

Associate - Ethics & Compliance Services

PricewaterhouseCoopers (PwC SDC Kolkata Private limited)

2021 - Present

  • Promoting and monitoring compliance with applicable external laws and regulations.
  • Focused on performing financial statements audits for external and internal clients, followed by procedures related to work requests from initiation to completion.
  • Involved in processing client-related compliance including legal background verification, financial statement analysis, and organizational structure establishment.
  • Ensuring compliance support at all levels; carrying out analysis/research, updating relevant databases/systems, process documentation, and handling firm's account management services.

Education

Master in Data Science

NSHM Knowledge Campus, Kolkata

2018 - 2020

Bachelor’s in Mathematics

West Bengal State University

2014 - 2018

Technical Skills

Concepts & Techniques

  • Predictive Modelling
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Statistical Modelling
  • Econometrics
  • Data Mining & Analysis

Programming & Databases

  • Python
  • R Language
  • SQL / MySQL
  • C

Libraries & Frameworks

  • Pandas, Numpy
  • TensorFlow, Keras
  • NLTK

Tools & Platforms

  • Power BI
  • Tableau
  • MS Suite

Projects

Major Project

Effective Predictive Modelling for Stock Price Prediction

Analysed causality of Indian IT Sector Time Series & DJIA Stock Market Index. Constructed and compared statistical, ML, and Deep Learning models (Logistic Regression, Decision Tree, Bagging, Boosting, RandomForest, ANN, SVM, Multivariate Regression, MARS, LSTM).

R Python Pandas Numpy TensorFlow Keras LSTM
View Details / Link
Minor Project

E-commerce Clothing Review Analysis

Utilized Sentiment Analysis and NLP techniques to analyze customer reviews for e-commerce clothing items.

Python Pandas NLTK Sentiment Analysis NLP
Minor Project

Portfolio Management Analysis

Applied Time Series Decomposition approach for portfolio management strategies.

Time Series Analysis Python
Minor Project

Association Rule Mining for Last.fm

Implemented Association Rule Mining techniques on Last.fm dataset.

Association Rule Mining Python

Publication

A Predictive Analysis of the Indian Oil and Gas Sector Using Time Series Decomposition-Based Approach

Proceedings of the 3rd National Conference on Machine Learning and Artificial Intelligence (NCMLAI'20), New Delhi, India, February 1, 2020

View Publication

Achievements

Client Championship Award - Received in June 2022

Certificates

  • Workshop on Python Programming (March 28th-30th, 2019)
  • Machine Learning using Python Programming (August 30th - September 6th, 2019)
  • Data Science training by Internshala
  • Python Programming training by Internshala