Shelton Maharesh
Linz,Upper Austria
Summary
Accomplished Data Scientist and Analytics professional with 14+ years of expertise in machine learning, statistical analysis, and data visualization. Proven track record in leading data science teams to deliver impactful solutions, driving significant cost savings and enabling data-driven strategic decisions. Skilled in Python, SQL, and machine learning, with a strong talent for translating complex insights into clear, actionable business strategies.
Overview
14
14
years of professional experience
Work History
Senior Data Scientist
Runtastic (adidas) GmbH
11.2021 - Current
- Developed Segmentation Models: Created the RAM (Runtastic Attribution Model) to segment 10 Million users, based on behavior & RFM attributes, enhancing personalized experiences and targeted campaign management.
- Strategic Goal Implementation: Defined company goals, KPIs, and data strategies for the executive level, influencing VP & CTO to adopt data-driven metrics. One of the key Insights led to prove an business impact of €250M.
- Predictive Models for Personalization: Launched 3 key Machine Learning projects end to end in DataBricks, including a loyalty score model predicting churn with good RMSE, BeTTR model for optimal communication timing, and scam profile prediction with 85% recall using ANN.
- Hybrid Forecasting Model: Built a stacked model (ARIMA, SARIMAX, Prophet) for yearly Monthly Active Users prediction, achieving less than 5% deviation from actuals.
- Gender Prediction Model: Designed a LSTM model to predict gender from names and email IDs for personalized app experiences without user input.
- LLM Model : Prototyped AIDA, a LLM model for generating FAQs from Confluence content.
- Mentorship: Guided 2 data analysts in building models and delivering strategic insights for leadership team.
Senior Data Science Product Manager
PayPal, Global
06.2021 - 11.2021
- .Developed Processor Prediction Model: Led the creation of a strategic analytics roadmap to identify high-impact projects, resulting in a processor prediction model that saved costs by $5M/year and cut failure rates by 12% through Machine learning.
- Enhanced Payment Reliability Model: Identified key areas for improvement and spearheaded the development of an issuer decline model using ANN, increasing credit card transaction success by 15% and achieving $11 M in annual savings.
- Strategic Roadmapping & Executive Alignment: Designed an analytics roadmap (H2'2025) to identify high-impact projects for cost reduction and process optimization. Communicated complex insights to executives, aligning data-driven projects with business goals to influence strategic decisions.
Science & Analytics Manager
Shelton Maharesh, Verizon Telecom
11.2018 - 06.2021
- AI & Data Team, Established and scaled a 22-member Offshore Data Science team from the ground up, overseeing hiring, goal-setting, performance assessments, and strategic management
- Led end-to-end implementation of 8+ critical projects, including a Bill shock model that generated $13M in annual savings and reduced billing-related call volume by
- Other Models include, Late fee optimization model, Intent prediction model, reconnect fee waiver prediction model which were run for 30 million user accounts.
Data Scientist & Consultant
Verizon Telecom
05.2015 - 11.2018
- Ticket Assignment Routing Model: Built and deployed an NLP and Deep Learning model for ServiceNow, achieving 86% accuracy and reducing SLA from 7 to 2 days with real-time API.
- End-to-End Architecture Design: Designed architecture from data sourcing to deployment, combining domain knowledge and insights to identify outliers and drive solutions.
- Error Log Comparison Using NLP & Cosine Similarity: Developed an NLP-based pipeline utilizing tokenization and cosine similarity to compare Splunk error logs. This solution identifies patterns and clusters similar logs, significantly improving error detection and troubleshooting efficiency of 25 Dev-Ops Engineers.
Data Analyst
Deloitte
08.2013 - 05.2015
- Readmission Prediction Model: Collaborated with doctors and data scientists to analyze patient data using SQL and visualization tools, uncovering new patterns in readmission factors that enhanced model building by 5%. Developed actionable dashboards to support clinical decision-making and improve patient outcomes
- Drug Subscription Project : Conducted a comprehensive analysis of physiological metrics and demographic data to assess drug efficacy and identified more than 20 statistically significant features for the model. Leveraged SQL and visualization techniques to present Exploratory insights to stakeholders.
Data Quality Analyst
Cognizant
01.2011 - 08.2013
- Data Quality Analyst for insurance & health care projects, led ETL, DW-BI, MDM, and BI-Reporting testing, with expertise in SQL, data analysis, and Big Data testing reporting critical bugs to avoid wrong BI reporting and Insights.
Education
Master of Technology - Software Engineering
BITS Pilani
India04.2020
Master of Business Administration - Project management
Sikkim Manipal
India12.2015
Bachelor of Engineering - Electronics & Communication
Anna University
India12.2010
Skills
- Programming Languages: Python (Pandas, NumPy, scikit-learn, Keras), SQL, HiveQL
- Machine Learning: Deep learning, Machine Learning, NLP, Forecasting, Decision Science
- ML Pipline: ML flow, Azure Data Factory, Feature Engineering, Feature Transformation
- Data Analytics: A/B testing, Hypothesis testing, Data Mining, Strategic Insights, Story telling
- Data Management & Cloud: Data Bricks, AWS, GCP, PySpark
- Data Visualization & BI Tools: Power BI, Matplotlib, Seaborn
- Version Control and Project Tools: GIT, JIRA, Service Now
- Leadership Skills: Team Management, Stakeholder Management, Strategy, Planning, Hiring
Timeline
Senior Data Scientist
Runtastic (adidas) GmbH
11.2021 - Current
Senior Data Science Product Manager
PayPal, Global
06.2021 - 11.2021
Science & Analytics Manager
Shelton Maharesh, Verizon Telecom
11.2018 - 06.2021
Data Scientist & Consultant
Verizon Telecom
05.2015 - 11.2018
Data Analyst
Deloitte
08.2013 - 05.2015
Data Quality Analyst
Cognizant
01.2011 - 08.2013
Master of Technology - Software Engineering
BITS Pilani
Master of Business Administration - Project management
Sikkim Manipal
Bachelor of Engineering - Electronics & Communication
Anna University
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