Vamsi Krishna Karanam

Data Scientist

Hyderabad, Telangana, India7 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable AI-driven forecasting systems.
Strong background in NLP and large language models.
Proven track record in end-to-end ML pipeline development.

Stackforce AI infers this person is a Data Scientist specializing in AI/ML solutions for enterprise and healthcare sectors.

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Skills

Core Skills

Time Series ForecastingMachine LearningNlpPredictive Analytics

Other Skills

Financial ForecastingPythonPySparkAzure DatabricksAzure DevOps ServicesStatisticsPredictive ModelingDocumentationPivot TablesContinuous Integration and Continuous Delivery (CI/CD)Reporting & AnalysisData ProcessingText ClassificationCrunching NumbersRequirements Gathering

About

I’m a Data Scientist and AI/ML Engineer focused on building production-grade GenAI and machine learning systems that scale reliably in real-world, enterprise environments My expertise spans time-series forecasting, predictive modeling, NLP, and applied machine learning, with a strong focus on large language models, foundation models, and architecting end-to-end ML pipelines, including feature engineering, orchestration, and intelligent decision systems that drive business impact. I’ve designed and deployed AI-driven solutions for revenue forecasting, cash flow modeling, user behavior prediction, and engagement analytics, leveraging demand sensing, anomaly detection, seasonality modeling, and a combination of statistical models, gradient-boosted algorithms, and LLM-based approaches. I’ve also built NLP systems across healthcare and social media, including retention modeling, sentiment analysis, semantic understanding of unstructured data, automated content classification, and large-scale data standardization platforms, with a strong emphasis on experimentation, evaluation, and business-aligned model validation. Beyond core data science, I bring strong ML engineering and MLOps experience across cloud-native deployment, distributed training and inference, CI/CD workflows, experiment tracking, and production monitoring, along with startup experience leading end-to-end product development and applied AI execution.

Experience

7 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 1 mo

Current Experience

Tiger analytics

Data Scientist

May 2024 – Present · 2 yrs 1 mo · Hyderabad, Telangana, India

Built and productionised large-scale time-series forecasting systems for enterprise clients, supporting revenue and cash-flow planning across multiple business functions.
Designed segmentation-driven model selection frameworks using Prophet, transformer-based time-series models (Chronos), gradient boosting, and statistical baselines to improve forecast accuracy and stability.
Developed scalable ML pipelines in Python and PySpark on Databricks, enabling automated training, batch forecasting, and monitoring in production environments.
Collaborated with business stakeholders and engineering teams to deliver reliable, business-critical forecasting solutions using Azure DevOps CI/CD and MLflow.

Time Series ForecastingFinancial ForecastingPythonPySparkAzure DatabricksAzure DevOps Services+1

Apollo 24|7

Data Scientist

Feb 2020 – Mar 2024 · 4 yrs 1 mo · Hyderabad, Telangana, India

Built predictive and classification models to analyse user behaviour, improve repeat engagement, and support data-driven product decisions.
Led healthcare data digitisation initiatives, applying ML and NLP techniques to structure medical records and improve data standardisation.
Implemented experimentation and A/B testing frameworks to evaluate product features and optimise user engagement and conversion.
Automated large-scale reporting and data workflows using Python and SQL, significantly reducing manual effort and operational overhead.

PythonStatisticsNLPPredictive ModelingPredictive Analytics

Dailycart

Co-Founder

Jul 2019 – Feb 2020 · 7 mos · Hyderabad Area, India

Co-founded and scaled a consumer tech startup, owning end-to-end product development, analytics, and operational execution.
Worked closely with designers and developers to launch and iterate on a mobile commerce application.
Used data-driven insights to optimise demand, operations, and customer experience in a fast-growth environment.

DocumentationPivot Tables

Unmetric

Machine Learning Engineer

Jul 2018 – Jun 2019 · 11 mos

Built unique optimized models to predict reach and impressions of social media posts both in
Facebook and Instagram using random forest and H2o in R.
Built a neural network model to predict sentiment analysis of comments on Facebook and Instagram
using glove pretrained word embeddings.
Automated the process of identifying campaigns from Instagram hashtags.
Built a model to extract the top frequent noun phrases into a word cloud from comments and tweets.
Built an interactive chat bot API for the firm's Web Application that assists users in answering queries.

StatisticsDocumentationMachine Learning

Vedam design

Automation Intern

May 2017 – Jul 2017 · 2 mos · Mumbai Area, India

Developed a platform in Microsoft Excel to instantly calculate hydrostatics of any hull form. Automation of Propeller drawing using Excel Macros both in 2-Dimensional and 3-Dimensional CAD.

DocumentationPivot Tables