SHreyashi Mukhopadhyay
Atlanta,GA
Overview
21
21
years of professional experience
5
5
years of post-secondary education
Work History
Graduate Research Assistant – Social Media Analytics
TripAdvisor.com & Bloomberg.com
Atlanta, GA
06.2023 - 11.2023
- Downloaded the financial Earnings calls audio and text transcripts for listed companies from Bloomberg Terminal
- Applied Name Entity recognition, Cosine similarity and topic modelling to the transcripts of the company CEO’s
- Web scraped Tripadvisor.com to extract user text reviews and associated image data for a New York based Hotel
- Cleaned and labelled the data based on the Helpfulness of the review submitted by the end users
- Implemented Deep learning models LSTM, Bi-LSTM, GRU & BERT to classify the labelled data as Helpful versus Non-Helpful
- Performed model evaluation and comparison to assess the best model for classification of the target class
- Performed object detection on the Images for the corresponding reviews using OpenCV and CNN.
Graduate Research Assistant Risk Management & Insurance
TELENAV.COM
Atlanta, GA
01.2023 - 05.2023
- Researched and modelled various business problems for TELENAV using IOT telematics data from connected car devices for the launch of their pay-as-you-use auto insurance product NOVO for California and Wisconsin
- Developed a predictive model that predicts the risk for every route in CA based on the risk score derived from driver behaviors exhibited along that route using the vehicle's Telematics data
- Developed a predictive model that predicts the premium based on the probability of an accident and expected loss for every route in CA based on accident data from 2011-21
- Developed a predictive model to determine significant accurate pricing of auto insurance based on a number of driver and vehicle attributes
- Developed a predictive model that combines driver personal behavioral attributes and route risk scoring attributes to compute the riskiness of a driver for the state of Wisconsin using Telematics IoT data
- Applied Under sampling, Oversampling and SMOTE sampling techniques for data to assess the risk associated with Hard Brake, Hard acceleration, Sharp turn, Driver Distraction and Speeding events frequency of a driver.
Graduate Research Assistant – Social Media Analytics
Reddit.com: Co-rrelations & Sentiment analysis on r/Wallstreetbets
Atlanta, GA
01.2022 - 10.2022
- Studied and established the effects of user comments on r/WallStreetBets at Reddit.com on Stock price, stock transaction volume & daily returns
- Researched and Analyzed stocks with a high comment volume on r/WallStreetBets at Reddit.com Quantified the relationship between Stock comment volume and Stock transaction volume, Stock daily returns by performing correlation analysis
- Quantified the relationship between Stock comment sentiment and Stock trading signal by analyzing the user comments between each trading signal
- Analyzed various Stock Technical and Volatility Indicators like Simple & Exponential Moving Averages, Bollinger Bands, Keltner Channels, ATR Indicator, RSI Indicator, MACD Indicator, Stochastic Oscillator Indicator to create a Stock trading strategy using Algorithmic trading
- Created a Algorithmic trading strategy using simple moving averages and extracted comments between the trading signals for application of NLP techniques
- Used vectorization techniques like Count vectorizer, GloVe,TF-IDF, Word-to-Vec in conjunction with classification models such as SVM, Decision Tree, Random Forest, Adaboost, LSTM, BiLSTM & BERT models for ensemble sentiment classification of positive, negative and neutral market sentiments.
Data Analyst
EPSILON
Irving, TX
10.2017 - 06.2019
- Performed data extraction, transformation, and loading (ETL) operations for the credit and retail consumer data stored in-house databases as well as in client marketing databases using Python scripts
- Leveraged Python's various analytical libraries like Pandas, NumPy, and Scikit-Learn to create clear and informative data visualizations and in-depth statistical analysis, hypothesis testing, and correlation studies, uncovering concealed patterns and actionable insights
- Analyzed unstructured textual data and performed customer behavior and sentiment analysis using the Epsilon PeopleCloud products namely Discovery, Customer and Prospect to uncover customer sentiment and behavior patterns from the consumer data and generated reports
- Analyzed customer behavior within retail analytics using clustering, regression and classification models including K-Means Clustering, Linear regression, Decision tree and Random Forest models and minimized error metrics by over 20% to provide best predicted values
- Utilized SQL to extract and analyze data from various sources, providing actionable insights to enhance operational efficiency and support informed business decisions.
Business Analyst
E2open
Hyderabad, India
06.2007 - 07.2009
- Team member of Steelwedge EPPM sales & operations demand planning and forecasting solutions worked with various clients like HP, EDS, Juniper Networks, Ditech networks, NVIDIA, Spansion, Tellabs
- Collaborated with stakeholders, including business users, managers, and IT teams, to understand and document business requirements, document business rules and identify unique implementation details and performed Stakeholder analysis
- Created detailed documentation, including functional specifications BRD's, user stories, process flows, and use cases, to effectively communicate requirements and solutions to development teams and other stakeholders
- Created a test plan and test cases to validate and verify the coherence between front-end data in Steelwedge Enterprise software and backend data stored in SQL Server
- Conducted user acceptance testing (UAT) to validate system functionality and ensure that implemented solutions meet specified requirements
- Identified and reported defects or issues for resolution using JIRA
- Functioned as a liaison between business users and technical teams, facilitating communication, managing stakeholder expectations, and aligning business needs with technical solutions.
Research Assistant
International Institute of Population Sciences (iipsindia.ac.in)
India, India
01.2004 - 04.2007
- Assisted in the collection of data for research projects, including conducting surveys, interviews and gathering data from existing sources such as databases or public records
- Utilized statistical software including Excel, SPSS & STATA to perform data analysis and generate statistical reports, charts, and visualizations and made presentations of findings to the stakeholders
- Collaborated with researchers, principal investigators, or other team members to discuss research objectives, methodologies, and findings
- Effectively communicated statistical concepts, methods, and results to non-technical audiences
- Documented research processes and implemented required procedures to align with standardized reporting formats.
Operations Co-ordinator
AC Nielsen India
India, India
01.2003 - 01.2004
- Team member for Consumer Panel Services with the Retail Measurement services SBU for tracking consumer behavior for CPG products
- Contributed to the syndicated monthly data analysis of all FMCG Clients Consumer Panel data for Retail measurement services group
- Worked on trend analysis of the data for the current month vs
- Previous 5 months data and product sales scrutiny and error correction in case of any unusual or abnormal sales figures in the timeseries data and report generation
- Ensured the accuracy, completeness, and reliability of data by conducting quality checks, data validation, and verification procedures with Team manager
- Identified and resolved any data-related issues or anomalies
- SUPERMARKETS: Consolidating the Supermarket database every month and performing a syndicated data analysis of the data and generating monthly reports for all subscribing Nielsen Clients
- FIELD MANAGEMENT INFORMATION SYSTEM (FMIS): Generation and Analysis of monthly FMIS Report, which gives an account of the performance of the entire field staff across all audits in India.
Timeline
Graduate Research Assistant – Social Media Analytics
TripAdvisor.com & Bloomberg.com
06.2023 - 11.2023
Graduate Research Assistant Risk Management & Insurance
TELENAV.COM
01.2023 - 05.2023
Graduate Research Assistant – Social Media Analytics
Reddit.com: Co-rrelations & Sentiment analysis on r/Wallstreetbets
01.2022 - 10.2022
Master of Science - Data Science & Analytics
J Mack Robinson College of Business
01.2021 - 05.2024
Data Analyst
EPSILON
10.2017 - 06.2019
Business Analyst
E2open
06.2007 - 07.2009
Research Assistant
International Institute of Population Sciences (iipsindia.ac.in)
01.2004 - 04.2007
Operations Co-ordinator
AC Nielsen India
01.2003 - 01.2004
Master of Science - Statistics
School of Sciences, Department of Statistics
07.2000 - 05.2002
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