Ashmita Paul
Aspiring Data Analyst
About
Enthusiastic and detail-oriented aspiring Data Analyst with a strong foundation in statistics, machine learning, and predictive modeling. Skilled in Python, R, SQL, Power BI, and data visualization. Experienced in data mining, NLP, deep learning, and time series analysis. Committed to continuous learning and contributing to data-driven decision-making.
Skills & Expertise (31)
Work Experience
Associate – Ethics & Compliance Services
PwC SDC Kolkata
Jan 2021 - Present
Enhanced compliance analysis & financial statement audits for external & internal clients by leveraging compliance tracking tools & advanced audit software. Led legal background verification, conducted risk analysis, & reviewed organizational structure to identify key risks, enhance organizational efficiency significantly, & boost compliance by 20%, using risk assessment tools. Updated internal databases and managed firm-wide compliance communications and documentation. Awarded Client Championship Award Multiple times for performance excellence.
Major Project: Effective Predictive Modelling for Stock Price Prediction of Indian IT Sector using DJIA Index
Capstone Project - M. Sc. Data Science
Apr 2019 - Jan 2020
Executed Predictive Modelling for Stock Price Prediction within the Indian IT Sector utilizing DJIA Index, successfully forecasting market trends through the use of Machine Learning algorithms & Time series analysis. Engineered models integrating Logistic Regression, Random Forest, ANN, SVM, & LSTM using Python, R, TensorFlow, & Keras to achieve highly accurate stock trend predictions, boosting accuracy by 20% amidst data preprocessing complexities & limited computational resources. Boosted stock prediction accuracy by 15% by implementing ML models on IT-DJIA data with Logistic Regression, Random Forest, Neural Network, Decision Tree, & SVM.
Minor Projects
Capstone Project - M. Sc. Data Science
Jul 2018 - Jun 2020
Analyzed customer sentiment from online reviews using machine learning, word embedding, & deep learning techniques in Python, leveraging Pandas, NumPy, TensorFlow, & Keras. Analyzed stock price indices across sectors with developed time series models utilizing ARIMA, Holt-Winters, & Linear Regression in R to uncover trends, seasonality, & randomness. Implemented a recommendation system utilizing Association Rule Mining & the Apriori algorithm in R for Last.fm, resulting in increased user engagement.
Education
Master in Data Science - NSHM KNOWLEDGE CAMPUS, KOLKATA
- · Afghanistan
Bachelor's in Mathematics - WEST BENGAL STATE UNIVERSITY
- · Afghanistan
Certifications
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Skills (31)
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