Sidharth K R
Bengaluru
Summary
Accomplished Data Scientist with a proven track record at Tesco, Prescience and Mu sigma, adept in leveraging SQL and Python for predictive modeling and customer segmentation. Spearheaded innovative forecasting models, achieving accuracy rates over 95%. Demonstrates exceptional analytical skills and a strategic mindset, significantly enhancing data-driven decision-making and operational efficiency.
Overview
5
5
years of professional experience
Work History
Data Scientist
Prescience decision solutions
Bengluru
06.2024 - Current
- Developed a customer churn prediction approach using machine learning models, including XGBoost and logistic regression, to identify customers at risk of churning. Additionally, designed a targeted strategy to retain these customers effectively
- Implemented a customer segmentation algorithm using K-means clustering to identify customers likely to switch from regular fuel to premium fuel.
- Developed a pricing strategy framework leveraging log-linear modeling to determine optimal daily fuel prices for each petrol station nationwide, incorporating traffic patterns and competitor pricing data.
Senior applied data scientist
Tesco
Bengaluru
12.2022 - Current
- Developed and implemented a cutting-edge sales and volume forecasting model utilizing FBprophet, XGBoost, LR, and Random Forest techniques, achieving remarkable accuracy rates exceeding 98% for the initial month and over 95% for subsequent months
- Enhanced utilization of forecasts for business functions including payroll planning, inventory management, and long-term strategic planning, ensuring optimal resource allocation
- Led a successful customer segmentation project aimed at optimizing couponing strategies, leveraging insights from shopping behavior analysis, competitor landscape assessment, and geographical data
- Applied linear optimization techniques to solve complex planogram challenges, resulting in the identification of the most profitable store layouts
- Currently engaged in leveraging XGBoost and Random Forest algorithms to identify customers likely to churn, contributing to proactive retention strategies and customer relationship management
Decision Scientist - Team Lead
Mu sigma
Bengaluru
10.2019 - 12.2022
- Cultivated strong client relationships, facilitating team involvement in RWE study design alongside stakeholders and contributing to the development of sophisticated variables and analyses
- Co-authored over 4 international RWE study publications, submitted to prestigious journals such as ICPE and ISPOR
- Successfully completed 20+ RWE studies, encompassing tasks like exploratory data analysis (SQL), survival analysis (Kaplan-Meier curve, Cox regression), and implementation of biostatistical techniques such as SMOTE algorithm and propensity score matching
- Engineered a comprehensive tool using MS Access and Tableau to monitor post-market clinical follow-up plans for company devices, enhancing tracking and compliance
- Developed intricate Tableau dashboards to monitor Sales, Market Access, Project counts, and Business priorities, providing actionable insights at a glance
- Automated processes using SQL and R macros to streamline workflows and improve efficiency
Education
Bachelor of Technology - Computer science engineering
Rajagiri school of engineering and technology
Kochi07.2019
Skills
- SQL
- Python
- Azure
- Data bricks
- Machine Learning
- Predictive Modeling
- Customer Segmentation
- Data visualization
- Forecasting
- Time series analysis
- A/B testing
- Biostatistics
- Statistical modelling
- Churn Analysis
- Supply Chain Analytics
- Demand Forecasting
- Pricing strategy development
Languages
- English
- Malayalam
Personal Information
- Place of Birth: India
- Title: Data Scientist
- Date of Birth: 04/22/97
- Nationality: Indian
Timeline
Data Scientist
Prescience decision solutions
06.2024 - Current
Senior applied data scientist
Tesco
12.2022 - Current
Decision Scientist - Team Lead
Mu sigma
10.2019 - 12.2022
Bachelor of Technology - Computer science engineering
Rajagiri school of engineering and technology
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