Ranjan Pandey

Ranjan Pandey Email and Phone Number

Data Science Lead - EPAM Systems | Accenture S&C | EY | Absolutdata | Mercer Consulting @ EPAM Systems
newtown, pennsylvania, united states
Ranjan Pandey's Location
Gurgaon, Haryana, India, India
Ranjan Pandey's Contact Details

Ranjan Pandey personal email

About Ranjan Pandey

- 11 years of experience focused around Data Science, Advanced Analytics, Business Intelligence and Consulting.- Collaborated, managed and delivered programs and engagements, hired and mentored resources (freshers and laterals), incubated micro products/accelerators.- Areas of Expertise:AI and Advanced Analytics (ML | DL | Gen AI) ConsultingExperience in development and validation of LLM Use Cases, Prompt Engineering, RAG Architecture, Social Media analytics, Web Scraping, Text mining, NLP, Marketing & CRM Models like Regression analysis, Segmentation, Acquisition, CLTV Models, Cross Sell & Up sell, Attrition Models, Assortment Planning, Association models, A/B testing, Pseudo Control, Incremental lift analysis, Revenue Forecasting, Time Series analysis and much more, aiding the business better understand their customer needs for precise targeting and sustained growth.- Tools:Python, LLM, GenAI, SQL, R Studio, AutoML, AWS S3, Lambda, DynamoDB, QuickSight, SAS, VBA, Tableau and Power BI

Ranjan Pandey's Current Company Details
EPAM Systems

Epam Systems

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Data Science Lead - EPAM Systems | Accenture S&C | EY | Absolutdata | Mercer Consulting
newtown, pennsylvania, united states
Website:
epam.com
Employees:
38592
Ranjan Pandey Work Experience Details
  • Epam Systems
    Lead Data Scientist
    Epam Systems Oct 2022 - Present
    Gurugram, Haryana, India
  • Accenture
    Data Science Manager
    Accenture Jun 2021 - Oct 2022
    Gurugram, Haryana, India
    Delivering impactful data-driven solutions for clients across industries.- Leading High-Performing Teams: Successfully managed and mentored teams of data scientists to deliver complex projects, often under tight deadlines.- Driving Business Value: Partnered with clients to identify critical business challenges and developed innovative data-driven solutions that resulted in significant improvements in key metrics.- Expertise in Advanced Analytics: Applied advanced techniques such as machine learning, deep learning, and natural language processing to extract valuable insights from large and complex datasets.- Cloud-Based Solutions: Proven experience in designing and deploying scalable data solutions on cloud platforms like AWS, leveraging technologies such as DynamoDB, S3, Lambda, and QuickSight.- Strong Communication Skills: Effectively communicated complex technical concepts to both technical and non-technical stakeholders, fostering collaboration and driving adoption of data-driven insights.Key Achievements:- Optimized sales lead acquisition for a UK telecom major by leveraging web crawling, segmentation, and customer propensity modeling.- Accelerated chatbot development for a Malaysian telecom major by deploying a reporting framework on AWS in just 3 weeks.- Predicted match outcomes for a US-based social media platform using LSTM and customer sentiment analysis.- Improved chatbot performance for a US telecom major by 54 points through data-driven analysis of customer interactions.- Enabled competitive analysis for an automobile giant by developing a web crawler to compare dealership network details across geographies.
  • Accenture
    Data Science Consultant
    Accenture Apr 2018 - Jun 2021
    Gurgaon, India
  • Ey
    Analytics Consultant
    Ey Sep 2017 - Apr 2018
    Gurgaon, Haryana, India
  • Absolutdata Analytics
    Senior Analyst
    Absolutdata Analytics Feb 2016 - Sep 2017
    Gurgaon, India
    Delivering actionable insights to drive business growth.- Customer 360: Successfully built comprehensive customer profiles, including churn prediction, product recommendations, and lifetime value analysis, for a major US retailer.- Market Basket Analysis: Utilized Apriori algorithm to identify product associations and design targeted marketing campaigns.- Customer Segmentation: Employed K-means and rule-based techniques to segment customers based on loyalty, shopping behavior, and other key attributes.- Causal Inference: Implemented a Pseudo Control A/B design to measure the impact of marketing channels on customer behavior in a dynamic and unregulated environment.- Industry Benchmarking: Developed an accelerator for a US hospitality client to identify key performance indicators (KPIs) across various industry verticals using web crawling, sentiment analysis, and topic modeling.- Hands-On Delivery and Stakeholder Management: Proven ability to deliver projects on time, effectively communicate findings, and collaborate with cross-functional teams.
  • Mercer
    Lead Analyst
    Mercer Jun 2013 - Feb 2016
    Gurgaon, India

Ranjan Pandey Skills

R Statistical Data Analysis Text Mining Regression Models Customer Lifecycle Management Sas Sql Segmentation Microsoft Office Microsoft Excel Powerpoint Time Series Analysis Tableau Retail Analytics Revenue Forecasting Demand Forecasting Collaborative Filtering Nlp Marketing Effectiveness Teradata Marketing Strategy Propensity Modelling Market Basket Analysis

Ranjan Pandey Education Details

Frequently Asked Questions about Ranjan Pandey

What company does Ranjan Pandey work for?

Ranjan Pandey works for Epam Systems

What is Ranjan Pandey's role at the current company?

Ranjan Pandey's current role is Data Science Lead - EPAM Systems | Accenture S&C | EY | Absolutdata | Mercer Consulting.

What is Ranjan Pandey's email address?

Ranjan Pandey's email address is je****@****ail.com

What schools did Ranjan Pandey attend?

Ranjan Pandey attended Svkm's Narsee Monjee Institute Of Management Studies (Nmims), Suresh Gyan Vihar University.

What are some of Ranjan Pandey's interests?

Ranjan Pandey has interest in Social Services, Children, Environment, Science And Technology, Health.

What skills is Ranjan Pandey known for?

Ranjan Pandey has skills like R, Statistical Data Analysis, Text Mining, Regression Models, Customer Lifecycle Management, Sas, Sql, Segmentation, Microsoft Office, Microsoft Excel, Powerpoint, Time Series Analysis.

Who are Ranjan Pandey's colleagues?

Ranjan Pandey's colleagues are Anyeli Cárdenas, Nayan Kumar Sinha, Oleg Chubryk, Hanna Sinitskaya, Alexandr Zebnitskiy, Dias Amenov, Tatyana Matalytskaya.

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