Ashish P.
Senior Data Scientist
Experience
May 2025 - Present
8 monthsSenior Data Scientist
Etisalat
- Developed predictive CVM models to identify upsell, cross-sell, and churn opportunities, strengthening Etisalat’s customer targeting initiatives.
- Engineered features from telecom usage, recharge frequency, and bundle behaviour, improving model precision and segmentation quality.
- Collaborated with marketing teams to translate model outputs into actionable campaign strategies, contributing to improvements in customer engagement and retention.
Oct 2024 - May 2025
8 monthsSenior Data Scientist
Salesforce
- Designed and deployed AI Agents using frameworks like LangChain and LlamaIndex to harness internal intelligence, enabling firm-wide sales enablement and reducing content search time by 40%.
- Implemented data-driven A/B testing strategies within the Salesforce platform to optimize personalized course recommendations for sales professionals.
- Built predictive analytics to identify at-risk sales reps early and prescribe tailored enablement interventions for reduction in underperforming reps and higher overall team productivity.
Jan 2024 - Aug 2024
8 monthsDubai, United Arab Emirates
Freelance Data Scientist
Expo City Dubai
- Delivered machine learning solutions for yield optimization, tenant churn prediction, and competitive benchmarking, supporting multi-million-dollar leasing and revenue decisions.
- Designed pricing and retention strategies that informed leadership on tenant mix and long-term revenue growth.
Jan 2024 - Aug 2024
8 monthsDublin, Ireland
Freelance Data Scientist
SITA Aviation
- Built predictive models on global aviation data to forecast gate-level delays with 20% higher accuracy, improving operational planning and ground-handling efficiency.
- Engineered advanced features from aircraft rotations, turnaround times, and congestion patterns, enabling scalable deployment and robust model performance.
Sep 2022 - Nov 2023
1 year 3 monthsSenior Data Scientist
Michelin
- Worked on multiple AI use cases involving fuel valorization, tyre life prediction, payload detection, model drift detection.
- Helped create the analytics framework for an end-to-end light fleet management system which makes it extremely easy to get critical insights from vehicle fleets.
- Created a generic framework for drift detection of machine learning models in production.
May 2021 - Sep 2022
1 year 5 monthsSenior Data Scientist
EXL Service
- Worked for three of the Top 10 Global Insurers for catching fraudulent claims and overpayments.
- Built predictive models on data from insurance claims, healthcare providers, patients, CMS, demographics.
- Conducted affinity analysis to find recurrent patterns in various diagnostic and procedural codes and correlated them with overpayments to build impactful features and intelligence assets.
May 2019 - Oct 2020
1 year 6 monthsAnalytics Associate Manager
Accenture
- Optimized retail supply chains for two of the Top 5 Retailers in North America, increasing effectiveness of promotions, omnichannel demand forecasting, and inventory planning.
- Improved accuracy by 10% and reduced model run-time by 50% for predictive models by optimizing code and data flows, automation, and additional model features.
- Enhanced client satisfaction by automating pricing analysis and recommending discount levels to achieve customer sell-through and revenue objectives.
Mar 2015 - May 2019
4 years 3 monthsStatistical Analyst
Maersk
- Supported the Global Marketing team in predictive modelling, statistical analysis, data visualization, text analytics, and social media analysis.
- Built workflows in Python and R for churn prediction, campaign target selection, customer sentiment analysis, and sampling for market research studies.
- Developed statistical models to facilitate explanation of NPS (Net Promoter Score) using causal modelling, game theory, and explainable AI (XAI).
May 2012 - Mar 2015
2 years 11 monthsLead Business Associate
Mane Inc
- Forecasted demand and supply using statistical techniques like regression analysis and time series analysis to assist the procurement and sales teams.
- Estimated seasonality and base demand for various raw materials using different time series decomposition techniques.
Summary
- Data Scientist
- Computer Engineer
- Adept at storytelling, communicating insights & building consensus around well-founded models.
- Quantitatively inclined, good at Business communication & presentation skills. Experience working with high value stakeholders including the C-Suite.
Languages
English
AdvancedFrench
ElementaryEducation
Oct 2023 - Mar 2026
Data ScienceTech Institute (DSTI)
Master of Science, Data Science & Artificial Intelligence · Data Science & Artificial Intelligence · Paris, France · 87%
Oct 2018 - Mar 2019
Indian Institute of Information Technology, Bangalore (IIITB)
Post Graduate Diploma in AI & ML · Artificial Intelligence & Machine Learning · Bengaluru, India
Oct 2010 - Apr 2012
IRMA
Master of Business Administration, Marketing, Supply Chain · Business Administration · Anand, India
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