Open to opportunities

Akhila Vankalapati

@akhilavankalapati

Message

Machine Learning Engineer delivering end-to-end NLP, forecasting, and scalable ML solutions.

India

Message

What I'm looking for

I seek roles building and deploying end-to-end ML systems—especially NLP and time-series forecasting—within collaborative teams that value reproducible pipelines, measurable business impact, and opportunities to scale models into production.

I am a Machine Learning Engineer with 3.3 years of experience building, training, and deploying end-to-end ML solutions across NLP, time-series forecasting, and recommendation-style analytics. I focus on delivering reproducible pipelines and production-ready models that drive business impact.

My work includes designing classification and regression models (Random Forest, XGBoost), developing deep-learning forecasting solutions (LSTM, GRU), and deploying services using Flask for real-time use. I combine strong feature engineering, EDA, and statistical modeling to improve predictive accuracy and operational robustness.

I collaborate closely with cross-functional teams to integrate ML outputs into client deliverables, document processes for smooth handoffs, and automate workflows using Python and SQL to increase reproducibility and reduce manual effort.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Accenture

Oct 2022 - Present (3 years 2 months)

Designed and deployed classification and regression models (Random Forest, XGBoost) improving predictive accuracy ~15% over baselines, automated Python+SQL workflows to reduce manual reporting, and integrated ML outputs with cross-functional teams for client deliverables.

Python SQL XGBoost Random Forest Model Evaluation Flask