Sneha Pande
Pune,Maharashtra
Summary
Data science professional with 7+ years of experience, including 4 years specifically in data science. Skilled in consulting, solution development, and delivery of BI & data science programs. Expertise in developing solutions in the pharmaceutical domain, supply chain, and sales marketing through data analysis, descriptive analytics, and predictive analytics. Proficient in utilizing machine learning algorithms such as regression models, clustering analysis, and decision trees. Adept at defining business strategy development for pharmaceuticals in emerging markets by conducting competitive analysis, implementing new market therapy approaches, and utilizing forecasting models including time series techniques like ARIMA, SARIMA, and exponential smoothing. Highly experienced in setting up demand forecasting and inventory optimization through an iterative process of experimentation.
Overview
9
9
years of professional experience
Work History
Senior Data Scientist
Cognizant
2024.01 - Current
- Generated content for the Unilever UI application using OpenAI’s LLM model, specifically ChatGPT-4
- Applied prompt engineering techniques to meet specific requirements
- Utilized Azure OpenAI services, including ChatGPT-4, for content generation and context verification
- Developed a text embedding model for embedding product names and performing vector searches
- Implemented Cognitive AI Search to create semantic and vector searches based on Amazon search volume (API data) and product table (DB data).
Statistician
Pharmarack
2021.12 - 2022.09
- Leveraged key insights from data analysis using exploratory data analysis (EDA) and time series forecasting to develop solutions aimed at increasing sales
- Utilized EDA techniques to identify patterns, trends, and anomalies in sales data, providing actionable insights for strategic decision-making
- Conducted comprehensive analysis to identify the impact of campaigns on sales growth
- Analysed key KPIs and metrics for leads to sales conversion
- Employed decision tree analysis to pinpoint significant parameters affecting sales growth, enabling targeted marketing strategies
- Developed a solution to generate a Monthly Business Metrics Dashboard that aids business leaders and the Sales and Marketing team
- Utilized statistical methods such as regression analysis and hypothesis testing to ensure the accuracy and relevance of the metrics presented, facilitating data-driven decision-making.
Data Scientist
Emcure Pharmaceuticals
2019.06 - 2021.12
- Conducted product comparative analysis and developed a forecasting model for inline and pipeline products across therapy areas using Clustering techniques
- Developed a strategy to increase sales of new products by leveraging historical data, exploratory analysis, and advanced forecasting methods
- Assisted in strategy development for Emcure Pharmaceuticals in emerging markets using predictive analytics to identify growth opportunities
- Utilized exponential smoothing techniques, and descriptive statistics to enhance the accuracy of forecasts for new products
- Analysed internal and external data using Decision Tree algorithm to inform effective strategy planning.
Data Scientist
Demand Planning LLC
2016.07 - 2019.05
- Forecasting and Supply Chain Management: - Manufacturing industry, Pharmaceutical and Food industry
- Predict an accurate demand trend with better lead times from supplier reduces stock out
- Exploratory Analysis: outlier detection, missing value treatment, and capping procedure
- Applied different models such as ARMA, ARIMA, Croston, Simple Moving Average, Exponential Moving Average, and Holt-Winters based on segmentation
- Identify optimal safety stock and service level given material
- Lead Time Analysis and Forecasting to identify supplier issues and lead time trends
- Time Series Analysis: exponential smoothing, and ARIMA models to analyze and forecast demand trends
- Basic Statistical Methods: Employed methods such regression analysis, hypothesis testing, and descriptive statistics to support data-driven decision-making.
Statistical Analyst
Searce Technologies
2015.06 - 2017.07
- Prepared SOPs for the optimization Invoice process
- Maintained customers trace and track data into the shipment data system
- Worked on Shipment summary report on a daily and weekly basis, utilizing descriptive statistics (mean, median, mode) to summarize data
- Conducted RCA of disputed invoices with the help of Pareto chart analysis
- Identified trends in weekly shipment data and optimized the aging pattern using time series analysis
- Set up Statistical control charts for shipment delivery to monitor process stability and performance.
Education
M.Sc. Statistics -
Dr. Babasaheb Ambedkar Marathwada University
Aurangabad01.2012
B.Sc. -
Dr. Babasaheb Ambedkar Marathwada University
Aurangabad01.2010
Skills
- Machine Learning
- Time Series Forecasting
- Statistical Modeling
- Predictive Analytics
- Generative AI (LLM model-> GPT-4)
- Prompt Engineering
- Python
- SAS
Languages
English
Hindi
Marathi
Personal Information
Date of Birth: 03/04/1989
Timeline
Senior Data Scientist
Cognizant
2024.01 - Current
Statistician
Pharmarack
2021.12 - 2022.09
Data Scientist
Emcure Pharmaceuticals
2019.06 - 2021.12
Data Scientist
Demand Planning LLC
2016.07 - 2019.05
Statistical Analyst
Searce Technologies
2015.06 - 2017.07
M.Sc. Statistics -
Dr. Babasaheb Ambedkar Marathwada University
B.Sc. -
Dr. Babasaheb Ambedkar Marathwada University
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