Pavleen K.
Senior Data Scientist @ Fluence
About
I am passionate about learning. I am an experienced Data Science and Analytics professional with over ten years of experience in delivering impactful data insight projects in banking, financial services, market research, industrial design, forecasting and supply chain logistics. I have executed multiple data-driven projects within text analytics, NLP, customer segmentation, payment analytics, marketing research, product metrics, reporting systems, business expansion and revenue generation. I use ML, data modeling techniques and data insight views for improving business processes and decision making. I am enthusiastic about identifying data driven product opportunities. Key Skills : • Programming: Python, R • Business Intelligence: Tableau, SAS, MS Office • Data Visualization: matplotlib, seaborn, Plotly, Bokeh, Geoplotlib, Folium, ggplot2, Shiny, Lattice • Oracle DB, MySQL, MongoDB, AWS Redshift, Snowflake • Web scraping: Beautiful Soup, HTML, XML • Data Tool: pandas, numpy, scikit-learn, TensorFlow, PyTorch, Keras, AWS Sagemaker, Dask, statsmodels • Frameworks & Deployment: Django, Agile, Kanban, Jira, Neptune, Docker, Git, Jupyter, PyCharm, AWS Lambda, EC2 • Big Data Technique: Apache Spark, AWS Big Data Analytics • Modeling: Unsupervised Learning Algorithms, Supervised Learning Algorithms, ML and Deep Learning, Neural Networks, Clustering and Segmentation, Forecasting and Predictive Modeling • Statistical Analysis: Multivariate Analysis, Regression Modeling, Bayesian Statistics • Natural Language Processing - spaCy, NLTK, VADER, Natural, Attention, Transformers, Topic Modeling, Entity Extraction, Sentiment Analysis, • A/B Testing, Hypothesis Testing
United States
Atlanta Metropolitan Area
Renewables & Environment
Data Analysis, Microsoft Office, Management, Written & Oral Presentation Skills, C++, Fortran, Matlab, 8051 Assembly, Business Process Re-engineering, Digital Transformation, Strategic Planning, Operational Execution, Financial Technology, Python, Strategy, Team Management, Financial Analysis, C (Programming Language), Business Development, Python (Programming Language)
Experience

Data Scientist
Seattle, Washington, United States
I work on developing text analytics-based NLP products for clients to leverage consumer reviews and client text data towards pricing of services, ranking of service providers and generating actionable business insights. Key areas- 1. Market research 2. Product perception 3. Topic modeling 4. Feature extraction 5. Services and product ranking 6. Entity extraction 7. Data Mining 8. Concordance Analysis 9. Text classification 10. Sentiment Analysis 11. Content Tagging

Data Scientist
Denver Metropolitan Area
• Provided comprehensive statistical analysis to address legal argument regarding Industrial design of location privacy settings • Applied machine learning methods (Random Forest, Decision Trees, Chi-square Distribution) to assess demographic correlation and response analysis of client survey data to assess awareness levels of public regarding location privacy of their smartphones

Data Analytics Manager (Executive-IT)
India
• Multivariate analysis of client data for customer segmentation using unsupervised learning methods and optimized marketing campaign strategy towards revenue generation • Delivered impactful data-driven business expansion plan for new business unit locations based on business trade area, geographic information, transaction volume of existing business units and information from legacy systems

Product Development Lead (Associate- IT)
India
• Developed ad-hoc reporting system for operational managers to generate easy insights into project performance, product performance metrics and manager performance • Enhanced productivity of web application by 20% through relevant technical skills to deliver program changes • Introduced payment analytics module to offer insights regarding channel profitability to relevant teams for customized financial product development for target customers

Business Intelligence & IT Analyst (RE-IT)
India
• Modernized, eliminated, and condensed existing outdated reports and rewrote processes achieving 70% reduction in preparation time for performance overview meetings • Database Administrator: Achieved 60% improvement in system’s response time by optimizing legacy data storages and search queries using PL/SQL • Wrote complex queries to overview data integrity in customer portals leading to 100% achievement of regulatory compliance requirements
Pavleen K.'s Contact Information
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