Vaishali Priya
Noida
Summary
Associate Data Scientist/Data engineer with over 4.3 years of experience in Data Science, Analytics, and Enrichment. Proficient in Python and libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and Seaborn. Skilled in Snowflake and FosFor for delivering successful automation projects. Experienced with tools such as Jupyter Notebook, Visual Studio, and CDSW.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer
LTIMINDTREE (Client)
Noida
05.2023 - Current
- Collaborated effectively by utilizing expertise in working with a wide range of Large Language Models (LLMs) including Snowflake-Cortex, OpenAI, LAMA2, and Gemini.
- Executing prompt engineering to create model submissions on time.
- Utilized k-means clustering in developing an application for customer categorization based on RFM (Recency, Frequency, Monetary) analysis using the appropriate technology and tools.
- Created a user-friendly Streamlit app that utilizes OpenAI/Cortex to generate synthetic data tables from table metadata.
- Independently developing a Streamlit application to generate GenAl emails using given prompts.
Associate Data Scientist
Client- (Finance Intelligence Unit) | LTIMindtree
New Delhi
11.2022 - 04.2023
- Utilized advanced data modeling techniques to enhance system performance by reducing processing time by 15%.
- Collaborated with cross-functional teams to analyze business requirements and design data models matching organizational goals
- Successfully implemented a data-driven approach utilizing machine learning algorithms to assess vast amounts of categorical data, resulting in an impressive 20% boost in predictive accuracy for customer reports.
- Leveraged natural language processing techniques to extract valuable information from unstructured data, facilitating sentiment analysis and customer sentiment tracking.
Associate Data Scientist
Client - Project Insight (Central Board of Direct Taxes, Government of India) | LTIMINDTREE
07.2021 - 10.2022
- Managed client interactions in an agile environment while actively collaborating with Income Tax officials to comprehend and adapt to their business requirements
- Processed and analyzed large data from multiple jurisdictions globally, involving key steps such as data retrieval, cleansing, exploratory analysis, feature engineering, selection, and imputation using Python and SQL.
- Applied data pre-processing methods for standardizing PAN-specific information (address, phone numbers, emails) gathered from various sources.
- Identified ways to optimize data extraction, processing, and cleanup procedures while resolving technical issues
- Enhanced table efficiency by reducing bias through effective data analysis techniques, proper indexing, and optimized join conditions, leading to a remarkable 35% improvement in overall performance
- Executed joint initiatives with Airtel targeting around 12 million taxpayers/entities for a specific year that generated a tax revenue of Rs.3000 crore
Associate Data Scientist
Client - Ministry of corporate affairs, Government of India | LTIMINDTREE
01.2020 - 07.2021
- Developed 20+ use cases/approach for sentiment analysis, NER, word cloud, risk profiling, and summary generation
- Processing master data and applying feature selection algorithms to categorize comment sentiments
- Applied Unsupervised Learning Algorithms for Clustering to enhance risk score retrieval and boost performance by 30-40%
- Utilized NLP technique to extract summary for comments and enhancements using NER and Pre-Trained summarization algorithm
- Streamlined operations by utilizing the integrated capabilities of Cloudera data science workbench for scheduling, monitoring, and email alerts.
Education
Bachelor of Technlogy - Information Technology
National Institute of Science and Technology, Odisha
01.2019
Skills
- Python
- SQL, Teradata
- Pandas, NumPy, Sklearn, TensorFlow, Sea-born
- NLP, NER
- Machine learning
- Generative AI, LLM ,Prompt Engineering
- AWS, Snowflake, Cloudera data science workbench, FosFor
- Jupyter Notebook, Visual Studio
- Data analysis, Data cleansing, Data Modelling
- SAS
- WinScp, Excel
- GitHub
Certification
- Python Programming using Data science from Udemy
- Generative AI Fundamentals from DataBricks
Accomplishments
- Winner of Phoenix(L) (Transformation) for Q4FY22 edition of GoMx awards
Timeline
Data Engineer
LTIMINDTREE (Client)
05.2023 - Current
Associate Data Scientist
Client- (Finance Intelligence Unit) | LTIMindtree
11.2022 - 04.2023
Associate Data Scientist
Client - Project Insight (Central Board of Direct Taxes, Government of India) | LTIMINDTREE
07.2021 - 10.2022
Associate Data Scientist
Client - Ministry of corporate affairs, Government of India | LTIMINDTREE
01.2020 - 07.2021
Bachelor of Technlogy - Information Technology
National Institute of Science and Technology, Odisha
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