Looking for a job

Hasthi Annapurna Venkatakrishnan

@hasthiannapurnavenka

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I build production machine learning and analytics solutions for security, compliance, and finance.

United States

Message

What I'm looking for

I'm looking to build and deploy machine learning solutions that turn complex data into actionable insights, particularly in security, compliance, finance, or cloud environments. I value cross-functional work that moves models into production.

I've built machine learning and analytics solutions at Microsoft through Mindtree and TCS, supporting security, compliance, finance, and Azure operations.

In Microsoft Security & Compliance Research, I developed time-series forecasting for alert surges, predictive models for ransomware attack probability, NLP incident categorization, and anomaly detection for incident-volume spikes.

On the Finance BI team, I introduced MLOps practices and helped reduce forecast variance by 42% beyond an initial 54% reduction from hierarchical forecasting. I also built customer-journey segmentation, text classification, and anomaly-detection models that saved 70% of monthly manual effort.

More recently, I've used exploratory analysis, audit logging, operational reporting, and Power BI to improve Azure cluster reliability, security traceability, and stakeholder decision-making. I work across the full model lifecycle, from data collection and EDA through deployment and monitoring on Azure.

Experience

Work history, roles, and key accomplishments

DevOps Engineer / Data Analyst

Microsoft via Mindtree

Nov 2022 - Aug 2026 (3 years 9 months)

Identified reliability and quality issues across VMSS and clusters through exploratory analysis, built operational reporting pipelines, implemented audit logging frameworks, and led readiness validation for new Azure clusters.

Azure Stream Analytics VMSS Key Vaults Power BI Data Analysis Exploratory Data Analysis Reporting Audit Logging Cluster Provisioning Cross Functional Collaboration

Senior Data Scientist, Security & Compliance Research

Microsoft via Mindtree

Jan 2022 - Oct 2022 (9 months)

Built time-series forecasting models for alert surges, predictive models for ransomware attack probability, NLP-based incident categorization, and unsupervised anomaly detection models.

Time series Forecasting Supervised Learning NLP Anomaly Detection Model Evaluation Model Monitoring Exploratory Data Analysis Python scikit learn

Data Scientist, Finance BI Team

Microsoft via TCS

Jan 2020 - Jan 2022 (2 years)

Initiated MLOps practices, re-engineered regional hierarchies reducing forecast variance by 42%, built operational dashboards, and developed text classification and anomaly detection models.

MLOps Forecasting Hierarchical Forecasting Clustering Text Classification Anomaly Detection Dashboarding Python SQL Power BI

Business Analyst

Neddie

Oct 2019 - Jan 2020 (3 months)

Partnered with the CEO/Founder of an early-stage startup to design and conceptualize product features, translating leadership vision into a concrete business plan.

Product Design Business Planning Stakeholder Communication