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Hi, I’m Srivenkat Gollamudi, a Data Scientist with 3 years of experience delivering end-to-end AI and analytics solutions. I translate business needs into data-driven strategies, build scalable data pipelines, and deploy models on AWS and Azure to support real-time decision making and improved predictive accuracy. Hi, I enjoy collaborating with cross-functional teams to turn complex data into actionable insights, explore NLP and Generative AI applications, and continuously learn new techniques to optimize ROI for clients. In my spare time, I share knowledge with peers and contribute to improving data governance and visualization practices.…Hi, I’m Srivenkat Gollamudi, a Data Scientist with 3 years of experience delivering end-to-end AI and analytics solutions. I translate business needs into data-driven strategies, build scalable data pipelines, and deploy models on AWS and Azure to support real-time decision making and improved predictive accuracy. Hi, I enjoy collaborating with cross-functional teams to turn complex data into actionable insights, explore NLP and Generative AI applications, and continuously learn new techniques to optimize ROI for clients. In my spare time, I share knowledge with peers and contribute to improving data governance and visualization practices.

Srivenkat Gollamudi

Data Scientist, AI Developer, Programmer, +5

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Hi, I’m Srivenkat Gollamudi, a Data Scientist with 3 years of experience delivering end-to-end AI and analytics solutions. I translate business needs into data-driven strategies, build scalable data pipelines, and deploy models on AWS and Azure to support real-time decision making and improved predictive accuracy. Hi, I enjoy collaborating with cross-functional teams to turn complex data into actionable insights, explore NLP and Generative AI applications, and continuously learn new techniques to optimize ROI for clients. In my spare time, I share knowledge with peers and contribute to improving data governance and visualization practices.…Hi, I’m Srivenkat Gollamudi, a Data Scientist with 3 years of experience delivering end-to-end AI and analytics solutions. I translate business needs into data-driven strategies, build scalable data pipelines, and deploy models on AWS and Azure to support real-time decision making and improved predictive accuracy. Hi, I enjoy collaborating with cross-functional teams to turn complex data into actionable insights, explore NLP and Generative AI applications, and continuously learn new techniques to optimize ROI for clients. In my spare time, I share knowledge with peers and contribute to improving data governance and visualization practices.

Available to hire

Hi, I’m Srivenkat Gollamudi, a Data Scientist with 3 years of experience delivering end-to-end AI and analytics solutions. I translate business needs into data-driven strategies, build scalable data pipelines, and deploy models on AWS and Azure to support real-time decision making and improved predictive accuracy.

Hi, I enjoy collaborating with cross-functional teams to turn complex data into actionable insights, explore NLP and Generative AI applications, and continuously learn new techniques to optimize ROI for clients. In my spare time, I share knowledge with peers and contribute to improving data governance and visualization practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Enigma

August 1, 2024 - Present

Partner with client executives to translate strategic goals into data science use cases; developed forecasting models in Python (scikit-learn, pandas) that increase demand prediction accuracy by 20%. Engineered end-to-end ETL pipelines using SQL and Python, integrating data from multiple client systems and third-party sources to eliminate silos and ensure 99% accuracy in reporting datasets. Designed executive dashboards in Power BI with advanced Python visualizations (Plotly, Matplotlib) for real-time KPI visibility, reducing manual reporting time by 30%. Applied regression, clustering, and time-series analysis to uncover inefficiencies in resource allocation and marketing spend, driving ROI improvements for Fortune 500 clients. Prototyped GenAI-driven NLP pipelines using LLMs to extract sentiment and intent from customer feedback, enabling clients to identify unmet needs and tailor new products/services, improving customer satisfaction scores. Deployed scalable ML pipelines on AWS Sag

Data Scientist at Razorops

January 1, 2023 - July 1, 2023

Developed and deployed machine learning models in Python (Scikit-learn, TensorFlow, PyTorch) for predictive analytics and time-series forecasting, improving operational decision-making for clients by 15–20%. Built and optimized ETL pipelines and data workflows using Python, SQL, and Apache Airflow, integrating multi-source datasets into clean, analysis-ready formats and improving data reliability for analytics projects. Designed interactive dashboards and visualizations in Power BI and Plotly, enabling real-time monitoring of key metrics and reducing manual reporting efforts by 25%, while collaborating with cross-functional teams to implement scalable AI/ML solutions.

Data Scientist at Magna Info Tech

June 1, 2021 - December 1, 2022

Developed and deployed advanced ML models in Python (Scikit-learn, TensorFlow), enabling 15–20% higher predictive accuracy across churn, fraud detection, and demand forecasting use cases. Performed deep exploratory data analysis and feature engineering on multi-terabyte datasets using Python, Pandas, NumPy, and SQL, surfacing actionable insights that directly informed pricing, operations, and marketing strategies. Built interactive Power BI dashboards with Seaborn visuals, reducing reporting cycles by 25% and equipping client executives with real-time KPIs. Implemented MLOps workflows using Airflow and Git, automating retraining pipelines, CI/CD deployments, and monitoring systems, ensuring 99% uptime for production models. Applied NLP methods, including text classification, topic modeling, and sentiment analysis, to large-scale customer service datasets, enabling leadership to address pain points and improve retention. Collaborated with stakeholders, solution architects, and data en