SAKTHI PRIYANGA SHANMUGAM
Plano,TX
Summary
Accomplished Data Scientist with a proven track record at Yulanto, enhancing sales by 10% through a dynamic pricing engine. Expert in Python and machine learning, adept at translating data insights into strategic decisions. Excelled in driving user engagement and retention by leveraging advanced analytics and personalized content recommendations. Demonstrates strong analytical and problem-solving skills.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Scientist
Yulanto
03.2022 - 12.2024
- Dynamic Pricing Engine: Developed a machine learning model to dynamically adjust product prices based on user demand, competitor pricing, and seasonal trends, resulting in a 10% increase in sales
- Tools: Python, Regression Models, Time Series Analysis
- Search Engine Optimization (SEO) Insights: Analyzed user query data and search behavior to optimize website metadata and improve search engine rankings, increasing organic traffic by 20%
- Tools: Python, NLP, Google Analytics API
- Personalized Web Content Recommendations: Built collaborative filtering models to provide personalized content suggestions, improving session duration by 25%
- Tools: Python, Matrix Factorization, Collaborative Filtering
- Web Traffic Anomaly Detection: Designed an anomaly detection system to identify unusual spikes or drops in web traffic, enabling proactive issue resolution and server optimization
- Tools: Python, Isolation Forest, Statistical Control Charts
- Customer Churn Prediction: Created a predictive model to identify users likely to churn, helping the marketing team design retention strategies and reduce churn rates by 15%
- Tools: Python, Logistic Regression, Decision Trees
- UX Optimization Through Heatmap Analysis: Integrated data from user heatmaps and clickstream analysis to identify poorly performing areas of web pages and suggest redesign strategies
- Tools: Python, Data Visualization
- User Behavior Clustering: Applied clustering algorithms to group users by browsing behavior, enabling personalized marketing campaigns and improving ROI by 15%
- Tools: K-Means Clustering, Hierarchical Clustering
Education
Master of Business Administration - Systems
Bharathidasan University
Tamil Nadu, India09-2025
Postgraduate - Data Science and Business Analysis
University of Texas, McCombs
Texas07.2021
Bachelor of Computer Science -
Bharathidasan University
Tamil Nadu, India05.2015
Skills
- Machine Learning
- Regression
- Classification
- Clustering
- Time Series Analysis
- Recommendation Systems
- Statistical Methods
- Predictive Modeling
- Hypothesis Testing
- A/B Testing
- Inferential Statistics
- Programming
- Python
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- SQL
- Data Visualization
- Power BI
- Natural Language Processing (NLP)
- Sentiment Analysis
- Text Classification
- Big Data & Cloud
- Microsoft Azure AI Fundamentals
- Data Fundamentals
Certification
- Microsoft Certified: Azure AI Fundamentals,
Credential ID: C112DD4E4A083508
Certification number: ED821B-E10A5W
Earned on: February 22, 2022
- Microsoft Certified Data Analyst Associate, Credential ID: A1173644C073BDF9
Certification number: ETEFE5-DED835
Earned on: February 17, 2022
Expires on: February 17, 2026
- Power BI Certification, https://learn.microsoft.com/en-us/users/sakthipriyangashanmugam-5219/transcript/vme9phznzq8m0mk
Projects And Leadership
- Product Performance Dashboard, Developed a real-time dashboard to track product views, clicks, and conversions for e-commerce platforms., Power BI, Python
- Visual Search Analytics, Designed a search analytics tool to visualize search term trends and optimize internal search functionality for better user experiences., NLP, Python, Tableau
- Marketing Campaign Optimization, Analyzed historical campaign data to build a predictive model for ROI estimation, enabling marketing teams to focus on high-performing channels., Python, Regression, Power BI
- Content Engagement Dashboard, Built an interactive dashboard to analyze content engagement metrics, such as bounce rates and average session duration, to inform UX decisions., Power BI, SQL
- Sentiment Analysis on Feedback Forms, Automated the analysis of user feedback using NLP to identify key sentiment trends, allowing the team to prioritize high-impact improvements., Python, NLTK, WordCloud
- Predictive Maintenance for Web Servers, Created a time-series model to forecast server load, reducing server downtimes by 30%., ARIMA, Facebook Prophet
- Chatbot Data Analytics, Analyzed user interactions with chatbots to identify common issues and optimize bot responses, improving customer satisfaction., Python, NLP, Chatbot Logs
- Conversion Funnel Analysis, Conducted a detailed analysis of the website's conversion funnel to identify and resolve drop-off points, increasing conversions by 12%., Python, A/B Testing, Power BI
Timeline
Data Scientist
Yulanto
03.2022 - 12.2024
Master of Business Administration - Systems
Bharathidasan University
Postgraduate - Data Science and Business Analysis
University of Texas, McCombs
Bachelor of Computer Science -
Bharathidasan University
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