Kartheek Nagelli

Product Manager

Waterloo, Ontario, Canada3 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 9 years of experience in data science leadership.
Expert in driving business transformation through advanced analytics.
Strong foundation in cloud technologies and machine learning.

Stackforce AI infers this person is a Data Science Manager with expertise in Fintech and E-commerce analytics.

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Skills

Core Skills

Machine LearningData ScienceAnomaly Detection

Other Skills

Python (Programming Language)GitHub CopilotDOCKERGitHubChurn ManagementDecision Tree AlgorithmRecommendation EnginesCross-team CollaborationApache Spark MLGenerative AIArtificial Intelligence (AI)Data EngineeringTeam LeadershipCross-functional Team LeadershipMicrosoft Azure

About

Data Science Manager with over 9 years of experience leading cross-functional teams in the Finance, E-commerce, and Telecommunications industries. Strong engineering professional with a Bachelor of Technology (B Tech) focused on Computer Science from IIT Guwahati and Masters in BigData Analytics from Mcmaster University. My expertise lies in driving business transformation through advanced analytics, machine learning, and data-driven decision-making. I excel at defining data strategies, managing data science projects, and aligning them with strategic business goals. With a strong foundation in Python, SQL, and cloud technologies (Azure, GCP, AWS), I have a proven track record in turning ambiguous problems into actionable insights and delivering measurable business outcomes. I am passionate about fostering a culture of continuous improvement and innovation, and I am now seeking to contribute to the growth and innovation in my new role.

Experience

3 yrs 3 mos

Total Experience

Average Tenure

Current Experience

Td

Data Science Manager

Jun 2022 – Dec 2025 · 3 yrs 6 mos · Toronto, Ontario, Canada · Remote

Led a data science team to drive business transformation through advanced analytics.
Managed and coached a team of data scientists and engineers, ensuring technical excellence and fostering a collaborative culture.
Defined and executed a comprehensive data strategy aligning with organizational goals.
Partnered with stakeholders to identify and prioritize AI use cases, resulting in enhanced productivity and efficiency.
Developed and maintained strong relationships with business leaders, contributing to data-driven decision-making across various business units.
Spearheaded the implementation of Machine Learning as a Service (MLAS) to streamline AI/ML initiatives within the organization.

Machine LearningData Science

Bell

Data Science Manager

Aug 2020 – Jun 2022 · 1 yr 10 mos · Toronto, Ontario, Canada · Remote

Directed data science initiatives, translating complex business problems into structured data science projects.
Developed and executed a data roadmap, focusing on large-scale data analysis and model deployment.
Designed and implemented data pipelines, reducing processing time by 30%.
Led the development of churn prediction models, recommendation engines, and interest categorization projects.
Presented data-driven insights to senior management, driving strategic decision-making.

Machine LearningData Science

T-systems ict india pvt. ltd.

Data Science Manager

Nov 2018 – Jan 2020 · 1 yr 2 mos · Bangalore · On-site

Led the development and deployment of machine learning models using TensorFlow and Keras on GCP.
Designed advanced statistical and forecasting models to optimize campaign performance.
Developed data visualization dashboards that aligned analytical outputs with strategic objectives.
Provided subject matter expertise in machine learning algorithms, driving actionable insights from complex datasets.
Worked on various big data technologies, enhancing the efficiency and effectiveness of data-driven decision-making.

Machine LearningPython (Programming Language)Data Science

6d technologies

Senior Data Scientist

Mar 2018 – Nov 2018 · 8 mos · Bengaluru, Karnataka, India · On-site

Led the development and deployment of churn management solutions using decision tree algorithms for clients including MTNI, Airtel Ghana, Chad, and CellC.
Worked extensively on the development of recommendation engines using advanced techniques such as Deep Learning (Neural Networks), Random Forest, and Bayesian Models.
Collaborated with cross-functional teams to optimize machine learning models for enhanced prediction accuracy and customer retention.
Utilized Python, R, and H2O to create scalable solutions that integrated seamlessly into existing systems.

Machine LearningData Science

Cognizant

Data Scientist

Aug 2015 – Mar 2018 · 2 yrs 7 mos · Bengaluru Area, India

Developed analytics code for Gross Merchandise Value (GMV) and Conversion use cases in the E-commerce domain, using R language.
Collected and processed historical data from various news APIs, and produced the data to Kafka for real-time processing and analysis.
Engaged in the implementation of performance marketing strategies by analyzing customer data from multiple sources.
Contributed to the development of the Merchant Anomaly Recognition System (MARS), which identified anomalies in customer-merchant transactions based on transaction history and geolocation.

Anomaly DetectionPython (Programming Language)Data Science