G

Gowtham Karupothula

Director of Engineering

India14 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 15+ years in data science leadership.
  • Expert in building high-performing data science teams.
  • Proven track record in data-driven commercial strategies.
Stackforce AI infers this person is a Data Science leader in the Healthcare sector.

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Skills

Core Skills

Data ScienceAnalytics

Other Skills

Anomaly DetectionArtificial Neural NetworksAzureBig DataBusiness AnalysisBusiness AnalyticsBusiness IntelligenceCluster AnalysisConsultingConvolutional Neural NetworksData AnalyticsData ModelingData NormalizationData StudioData Visualization / Visual Analytics

About

Gowtham Data Science leader with 15+ years experience, I bring a strong blend of technical expertise and domain knowledge. Building & scaling high-performing global data science teams. Partnering with executive stakeholders to deliver data-driven commercial strategy. Recognized as a bridge between technical execution and business strategy, consistently delivering measurable impact on brand growth, launch excellence, and market access. My proficiency spans across various analytical methods, including Advanced Statistical techniques (ANOVA, Regression, Clustering, Data Mining, etc.), Data Visualization, and Deep Learning concepts (CNN, RNN, Open CV). In my role as Director Kinetic Data & Analytics at Syneos Health, I lead the Kinetic team in the commercials Business Unit, focusing on integrating intelligence to optimize performance for biopharmaceutical companies. I take pride in building the Intelligent CDP platform, Kinetic Engine, and driving the development of cutting-edge Omni channel solutions for pharmaceutical organizations. Throughout my career, I have successfully engaged in Pre-Sales Activities, assisting the Sales Team in analyzing potential markets and crafting sales pitches. I am well-versed in handling Analytical Tools (R, Python, Data Robot, etc.), Visualization Tools (Power BI, Tableau), Cloud Platforms (Microsoft Azure, Salesforce Marketing Cloud), and Data Modeling & ETL (Power Query, Informatica). Additionally, I possess hands-on experience in various databases and Big Data Ecosystems. As a seasoned professional, I have a proven track record of managing and mentoring cross-functional teams, driving successful data insight initiatives, and effectively collaborating with stakeholders. My passion for innovation, coupled with my commitment to delivering high-quality solutions, has earned me recognition and accolades throughout my career. I continue to be dedicated to staying updated with industry trends and driving impactful outcomes in the data-driven world.

Experience

14 yrs 9 mos
Total Experience
2 yrs 5 mos
Average Tenure
6 yrs 2 mos
Current Experience

Syneos health commercial solutions

4 roles

Director - Kinetic Data & Analytics (Data Sciences)

Promoted

Jul 2025Present · 11 mos

Associate Director - Kinetic Data & Analytics

Aug 2024Jul 2025 · 11 mos

Associate Director ML Operations (Data Sciences)

Promoted

Oct 2021Present · 4 yrs 8 mos

Team Lead Data Sciences

Mar 2020Sep 2021 · 1 yr 6 mos

  • I work in Kinetic team, which is a Integrating intelligence to accelerate impact and optimize performance for biopharmaceutical companies.
  • Data Science Activities like :
  • Develop Targeting lists by pulling drug information from different sources like Komodo, Answer generator, Info Access, open payments.
  • Analyze experimental data from Komodo.
  • Create datasets using different data providers.
  • Setup data pipeline using domino tool.
  • Analytics:
  • Web Analytics dashboards using Google Data studio.
  • Build Market and Media mix modeling.
  • Building super fast models and deploy using DataRobot.
  • Building CXO dashboards using Power BI with Azure Integrations.
  • Building dashboards on Data Studio with Snowflake as a data source.
  • Business Development:
  • Develop prototypes using DataRobot for internal and external clients.
  • Data Collection from different sources.
  • Conduct Analysis
  • Reports and visulizations.
Data ScienceWeb AnalyticsMarket Mix ModelingDataRobotPower BIAzure+3

Sailotech

Lead Data Analyst-Advanced Analytics

Jul 2017Dec 2019 · 2 yrs 5 mos · Hyderabad Area, India

  • Build analytical products to clients
  • Anomaly in warranty claims
  • Detect anomalies in the warranty data to avoid fraud claims which are causing high cost to the customer.
  •  Forecasting future part failure patterns for better planning and budget allocation.
  •  Finding driving factors for fraudulent claims
  •  Building one class SVM to identify anomalies.
  • Potential Customer Identification
  •  Building a logistic regression model to predict probability of Potential customer.
  •  Using cluster analysis for customer segmentation.
  •  Bucketing the customers to understand them more concrete way in terms of risk factor.
  • Face Recognition model (POC) & Document Digitization for AP automation:
  • Data collection (capturing the faces in different angels, illuminations, and distances), data preparation (make all photos are of the same size, removing the blurred images)
  •  Build a Convolution Neural Network structure, and a classifier to recognize the face.
  •  Build a custom method to classify the unknown person in order to avoid access to unauthorized persons.
  •  The process of segmenting the document and then classifying the document. Used Open CV concepts for image processing and improving the quality of images and traditional new OCR engine based on LSTM neural networks. Used Regex functions for identifying the patterns for the required fields.
Anomaly DetectionForecastingLogistic RegressionCluster AnalysisConvolutional Neural NetworksOpen CV+3

Sovereign health group addiction, dual diagnosis & mental health

Financial Data Analytics Manager

Jul 2016Apr 2017 · 9 mos · Gurugram, Haryana, India

Techno brain group

Sr. Data Mining Specialist

Aug 2015Jul 2016 · 11 mos · Dar Eas Salaam, Tanzania

  • Defining the process for Data Science Projects.
  • Trying to build efficient models for Government sector.
  • Models try to counters the default taxpayers, using Oracle Advanced Analytics,
  • Revenue projections (Time series) according to Sector, Region, Tax type...etc
  • Visualizing the data for better understanding.

Cap gemini india pvt ltd

Business and Data Consultant

Jul 2011Jul 2015 · 4 yrs · Greater Hyderabad Area

Infosys

Test Engineer

Jan 2011Jul 2011 · 6 mos · India

Education

Birla Institute of Technology and Science, Pilani

Master of Science - MS — Business Analytics

Indian School of Business

Certificate program in Business Analytics — Data Science and Bigdata Analytics

Jan 2014Jan 2015

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