Annona Alias

Senior Data Scientist at Central Analytics at Tata Motors

Based in Bengaluru, India

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Seniority

Staff

Department

Other

Location

Bengaluru

Industry

Motor Vehicle Manufacturing

Company size

75K

Contact information

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Email

1 credit

a•••••••@tatamotors.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Annona Alias

Data Scientist with 4.5 years of experience in building data-intensive applications, overcoming complex architectural and scalability challenges. Proficient in predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Capable of developing, testing, and deploying models that translate business and functional requirements into substantial deliveries. Expertise in building scalable data products, leading cross-functional initiatives, and mentoring junior talent. I also hold a post-graduate degree in Chemistry. My core science background has guided me in approaching data-driven business problems with a research-oriented and problem-solving mindset. Having a natural love for mathematics and logical reasoning makes my journey in data science exciting and challenging. Being an avid reader and an ardent lover of music and paintings, I am always in search of great books, stories, rewarding experiences. I am seeking an opportunity to leverage my critical thinking and analytical skills in a collaborative environment that will help me to expand my knowledge and to contribute to the continued growth and success of the organization. Skills: Programming Languages: Python, PySpark, SQL Libraries: Pandas, NumPy, Scikit-learn, Statsmodels, SciPy, NLTK, spaCy, Matplotlib, Seaborn, Plotly, Dash Databases & Cloud Platforms: MySQL, Snowflake, Azure (Blob Storage, ML Studio), Databricks, GCP (BigQuery, Vertex AI) Machine Learning: Supervised learning: Linear & Logistic Regression, KNN, SVM, Naïve Bayes, Decision trees Time series forecasting: ARIMA, SARIMA, SARIMAX, Exponential smoothing, Holt-Winters, Prophet Unsupervised Learning: K – Means, Fuzzy K-Means, Hierarchical Clustering, Association Rule Mining (PrefixSpan) Ensemble Techniques: Random Forest, AdaBoost, XGBoost, LightGBM Data Visualisation Tool: PowerBI MLOps & Deployment: FastAPI, Streamlit, Flask, Docker, MLflow, Git, CI/CD Pipelines Generative AI & LLMs: OpenAI (GPT models), LangChain, Prompt Engineering, Hugging Face Transformers, Vector Databases (FAISS, Pinecone), Sentence Transformers, RAG (Retrieval-Augmented Generation) Soft skills: Problem-solving, critical thinking, teamwork, Adaptability, Leadership skills, Analytical skills. Communication Skills: Able to work with diverse groups with Excellent written and verbal proficiency.

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