Data Science Machine Learning

Statistical Data Science Student

Career Objective

Master's student in Statistical Data Science with 3.5+ years of experience in AI, Machine Learning, NLP, and Data Analysis.Proficient in Python, R, SQL, and Azure, with expertise in statistical Modeling, hypothesis testing, predictive analytics, exploratory data analysis (EDA), and ML model deployment.Seeking a challenging role in Data Science, Data Analysis, or Machine Learning Engineering to contribute to data-driven decision-making and innovative solutions. Key Skills

Programming:

Python R SQL

Machine Learning & AI:

Supervised & Unsupervised Learning Deep Learning NLP Generative AI Model Fine Tuning LLM’s RAG Statistical Methods:

Regression Hypothesis Testing Bayesian Methods A/B Testing Time Series Data Engineering:

Feature Engineering Data Cleaning ETL

BI & Visualization:

Power BI Tableau Matplotlib Seaborn

Big Data & Cloud:

PySpark Apache Airflow Hadoop Kafka Azure (Data bricks, Cognitive Services) Flask Professional Experience

M Result Services Hyderabad, India -

Software Development Engineer

Quadratic Insights Pvt. Ltd. Hyderabad, India - Data Scientist

Easypolicy Web Aggregators & Capitalgram Insurance Brokers Noida, India

-

Junior Machine Learning Engineer

Bhargavi Arya Siva

+1-448-***-**** **************@*****.*** Tallahassee, FL Linkden:bhargavi-arya-897287169 Jun '23 Dec '23

Deployed an advanced NLP-based chatbot harnessing state-of-the-art transformer models, resulting in enhanced customer satisfaction

•

Enhanced chatbot performance by leveraging attention mechanisms & generative AI techniques, resulting in boosted customer satisfaction ratings

•

• Led the development of a voice-based interface for Indigo Airlines, improving customer inquiry response time by 30%.

• Achieved a 25% increase in chatbot response accuracy through model tuning and iterative learning Jan '22 Dec '22

• Conducted in-depth exploratory data analysis (EDA) & feature engineering techniques to unearth valuable cost-saving opportunities Developed ML models for fraud detection in credit/debit card transactions utilizing Random Forest & Gradient Boosting algorithms to enhance accuracy & efficiency

•

• Elevated model accuracy by 20% & efficiency through hyperparameter tuning & clustering methodologies Collaborated on KPA sheets to align business objectives with analytical solutions while leveraging data-driven tools for enhanced effectiveness

•

Mar '20 Dec '21

• Engineered & rolled out a scalable PDF Extractor Engine for simultaneous processing of multiple PDFs

• Built data ingestion pipelines using Kafka, improving data processing efficiency by 40%.

• Utilized Apache Airflow for task scheduling & production deployment of Flask APIs Education

Florida State University Tallahassee, FL, USA

Master's in Statistical Data Science

GPA: 3.45/4.0

CDAC Noida, India

Post-Graduate Diploma in Artificial Intelligence

GPA: 7.0/10

Osmania University Hyderabad, India

B.Tech in Electronics & Communication Engineering

GPA:7.2/10

Certifications

Languages

Projects & Internships

Expected 12/25

Aug'19-Feb'20

Aug'15-Jun'19

• Microsoft AI-900 – Azure AI Fundamentals & Cognitive Services

• Image Processing using OpenCV – Advanced Computer Vision Techniques

• Machine Learning Specialization – Coursera (Andrew Ng)

• English (Fluent)

• Hindi (Fluent)

• Telugu (Native)

• Kannada (Fluent)

NLP-Based Chatbot – Developed a conversational AI chatbot for travel assistance using transformer models, improving user engagement by 20%.

•

Fraud Detection System – Built ML pipelines for real-time transaction monitoring, leading to a 20% increase in fraud detection accuracy.

•

• PDF Extractor Engine – Engineered a scalable multi-PDF data extraction tool, reducing manual efforts by 40%.

• Cyber Security Intern (SPRY Technologies, Bangalore) – Conducted penetration testing and network security assessments.

Contact this candidate