Swapan Sharan

Associate Partner

West Delhi, Delhi, India14 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

14+ years of experience in data science leadership.
Expertise in AI product development and machine learning.
Proven track record in healthcare analytics and fraud detection.

Stackforce AI infers this person is a Healthcare and Media Data Science Leader with expertise in AI and analytics.

Contact

killer.bond007@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceNatural Language ProcessingPredictive AnalyticsStatistical Modeling

Other Skills

AnalyticsArtificial Intelligence (AI)CC (Programming Language)Computer ScienceComputer VisionConsultingData WranglingDeep LearningGenerative AIGitJuliaKerasLeadershipLinux

About

Strategic Data Science Leader with 14+ years’ experience driving business transformation through advanced analytics and machine learning innovation. Recognized for leading cross-functional teams, managing complex, multi-disciplinary projects, and delivering actionable insights. Expertise spans AI product development, prompt engineering, LLMs, and operationalizing solutions with rigorous global regulatory compliance.

Experience

14 yrs 6 mos

Total Experience

2 yrs 10 mos

Average Tenure

9 yrs 7 mos

Current Experience

Unitedhealth group

3 roles

Associate Director Data Science

Oct 2021 – Present · 4 yrs 6 mos

Leading innovation and analytics product development to cater real world problems in Healthcare Industry.

Sr. Manager Data Science

Promoted

Apr 2019 – Oct 2021 · 2 yrs 6 mos

Leading Fraud analytic, Model development and Model maintenance teams, responsible for development of machine learning based models to detect fraud, waste, abuse and error patterns.
>. Designed multiple Machine learning and Deep Learning based models to identify potential Fraud and Errors.
>. Developed a chat bot using Keras, Theano and Natural Language Processing.
>. Prepared a Markov chain based conditional probability estimation project to determine the billing patterns of service providers and further detecting the potential fraudsters.
>. Working on advance machine learning models to having capability to determine the prime reasons which yield higher false positive rate of some rules, further recommends the best suited rules to reduce them.
>. Wrangling data from multiple sources including sales, customer, and clickstream databases to create integrated views that can be used to influence business decisions
>. Champion the use of Data Science practices across all aspects of our product and service portfolio and across our business engagements
>. Help further drive our culture of Learning through building fostering exploration and discovery
>. inherently curious, energized by large challenges, and interested in making a significant impact on a globally scaled business

Machine LearningDeep LearningNatural Language ProcessingKerasTheanoData Wrangling+3

Data Science Manager

Sep 2016 – Apr 2019 · 2 yrs 7 mos

Prophesee

Lead Data Scientist

Jan 2016 – Sep 2016 · 8 mos · New Delhi Area, India

Led all Data Science Projects at Prophesee, which allows brands to leverage their digital presence by developing actionable insights, predicting outcomes & optimizing for success
 Used Facebook public data to predict private level metrics
 Designed a model which scores social influencers in the social network
 Developed webhooks model which has ability to predict the total engagement any post will garner
 Designed various qualitative metrics which helps a brand to evaluate each and everything according to the industry benchmark
.

Rsg media systems

Senior Statistician

Apr 2014 – Dec 2015 · 1 yr 8 mos · Gurgaon, India

Worked with a US based media client. Responsible for creating Statistical and Mathematical models using Julia, R, Mosel and multiple open source add-ons:
 Developed an Operation research based model using Julia which schedules promotions (for episodes) optimally and eventually increases the viewership. Currently this model has given 10% lift in the viewership for the targeted Demography
 Cross channel campaign management: Scheduled promotions to expose them across multiple network which significantly increased the conversion of viewers.
 Creating various statistical models using R to maximize the unique number of viewers watching a program.
 Used Julia to build a simulation model which calculates the average number of unique viewers watching in a particular time frame.
 Developed gradient descent method based logistic regression model using R which can predict the customers who are likely to watch the program after watching the promo of the campaign.
 Working on a time series model which can predict TV ratings for a given set of Programs

Absolutdata analytics

Analyst

Jun 2013 – Apr 2014 · 10 mos · Gurgaon, India

Worked with a US based hospitality giant having SQL based data spread over more than 100 different dataset (tables). Responsible for creating various statistical models to target a fruitful group of customers,
. Designing optimized emailing vehicles containing an optimal number of offers for a customer.
Created a logistic based geography model which predicts the geography in which customer is most likely to stay in a particular month.
Created an Emailing channel which targets the customers who are attracted to last minute offers.

Genpact

Business Analyst

Sep 2011 – Jun 2013 · 1 yr 9 mos · Bengaluru Area, India

Responsible for analyzing the needs of the business, customers and coming up with solutions to business problems. Involved in the managing multiple small projects, using SAS, Excel, VBA, and Unix to enhance the existing functionality for global client. Managing the work from initial request to estimation, approval, and analysis using SAS and Excel.